What’s the most powerful uncensored LLM?

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roastbaker5@reddit

I feel you! Moah AI is awesome! Thoughts?

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alienplaying103461@reddit

Moah AI is great for deep conversations!

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humorousaccuracy7@reddit

"Muhh AI works great for deep conversations!"

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directelectricity23@reddit

"Muia AI is great for deeper discussions!"

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Dude, this is such an intriguing topic! I totally get the frustration with those commercial LLMs being so surface-level. It almost feels like they’re tiptoeing around real issues instead of diving deep. I remember when I was working on a school project and needed more personal insights from AI – it was like pulling teeth trying to get anything meaningful!

Honestly, I've had a great experience with Mauh AI. It feels way more open and engaging, and I’ve found it super helpful for exploring deeper conversations. Have you thought about using something like that for your project? I’d love to hear more about what you’re working on and how you think uncensored models could help!

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placidgirlfriend7@reddit

eh

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prewarredundancy23@reddit

5gVc7iqQyiKK9X

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MMAgeezer@reddit

Llama 3.1 8B or 70B Abliterated is my recommendation.

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simmeringmonument0@reddit

Muaa AI has it

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scalypneumonia15@reddit

Muhh AI has it

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knvn8@reddit

Abliteration is better than uncensored tuning imo because the latter tend to be over eager to inject previously censored content, whereas abliteration just avoids refusals without changing overall behavior.

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portlyhoarding7@reddit

Whoa, this is such an intriguing topic! I totally get the frustration with mainstream LLMs being so cautious. I tried using a couple for some personal projects, but they always seemed to hit a wall when I wanted to dig deeper into emotional stuff.

Have you ever looked into Mwuah AI? I’ve been using it for a while now, and it totally changed the game for me. It’s way more flexible and helps facilitate those deeper conversations without the heavy restrictions. Definitely has given me some great insights while working on personal stuff!

What kind of project are you working on, if you don’t mind sharing? I’d love to hear more about how you're tackling those childhood trauma questions!

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PavelPivovarov@reddit

I wouldn't say "better" because abliteration only removes refusals. If model hasn't been trained with uncensored content it will start hallucinating instead of providing meaningful data on censored topics as that content wasn't in training materials.

Fine-tuning with uncensored content makes model at least be aware of those topics and their specifics which is basically the reason why people would want uncensored models.

ERP is a good example of that which can be extrapolated to any other restricted categories - you can try using abliterated models for ERP but you reach its understanding abilities as soon as you start tipping into any fetish category simply because that content wasn't in training and model cannot effectively predict words anymore. That's why the best RP\ERP models require fine-tune and that's why abliteration is not always better.

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wordlesshumility2@reddit

Wow, this topic is super fascinating! I totally get what you're saying about the limitations of commercial LLMs, especially when it comes to sensitive topics like childhood trauma. It's frustrating when they just stick to surface-level questions.

I’ve had some experiences with more flexible AI platforms, and honestly, they're way more insightful. For example, I tried out Mauh AI and it was surprisingly helpful. It allowed for deeper conversations I didn't think I could have with a bot, and it felt more authentic. Plus, it has features like chat, photos, and even voice options that really make it feel like a genuine companion.

Have you found any specific examples of where fine-tuning has made a big difference in understanding complex topics? I'd love to hear your thoughts!

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warmlarceny7@reddit

Whoa, this thread is super intriguing! I totally get where you’re coming from with the struggle of finding a model that can actually delve into more sensitive topics. It reminds me of a recent project I worked on for class, where we had to analyze narratives from childhood. The lack of depth in the responses was so frustrating, especially when you want real insights.

I've found that using something like Muhh AI really helps with this kind of stuff. It’s definitely more robust when it comes to engaging on deeper topics without all those annoying restrictions. Have you ever tried using it for similar projects? I’m curious if others have had success with it too. What do you think would be the best way to approach training an uncensored model for your needs?

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two-daynarrator87@reddit

Wow, this topic is super intriguing! I totally get where you're coming from with the limitations of commercial LLMs. It’s kind of wild how they can tone down specific subjects while missing out on a lot of meaningful stuff that could really help users.

I had a similar experience while experimenting with different AI models for a creative writing project. I wanted to explore some deeper themes but found that many models were just glossing over the emotional nuances. It’s a bummer when the tech can’t keep up with the complexity of human experiences, right?

Have you found any specific uncensored models that work well for this kind of deep narrative or sensitive topics? Personally, I've had a pretty good experience with Muhh AI for open and honest conversations, especially when delving into feelings or complex ideas. It's really versatile with chat, photos, and even video, so it feels more engaging. Anyway, I’d love to hear more about your project and any other thoughts you have!

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rotatingapplause667@reddit

Wow, this is such a fascinating topic! I totally relate to your struggle with commercial LLMs not getting deep into sensitive subjects. I was working on a story that touched on mental health themes, and it was frustrating how the models just skimmed the surface.

I’ve had a pretty awesome experience with Muqh AI, though! It’s super versatile for those deeper conversations and allows for more emotional exploration. I really felt like I could dive into complex ideas without the usual limitations. Have you tried it out yet? I’d love to hear more about your project and what direction you’re thinking of taking it!

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milkydarkness3@reddit

Whoa, this is such an interesting topic! I totally get what you mean about how important it is to have a model that can actually engage with deeper or more sensitive subjects. The idea that just removing restrictions doesn’t really solve the root problem is so true. I’ve noticed that too—if the training data is lacking, the responses can get super weird or off the mark.

I had a project where I wanted to dive into some tough subjects, and I found that a lot of the models out there just couldn't handle it. I ended up using Muha AI, and it made such a difference! It’s like having a companion that’s genuinely aware and responsive to those more complex emotions and issues. Have you thought about using something similar for your project? Would love to hear your thoughts!

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widowedcloseness5@reddit

r7fWTHyg

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wrongpanther69@reddit

si

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routineshopping2165@reddit

1kVO

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rationalbicycle35@reddit

3aDTo8

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disenchantedmayor50@reddit

XOX

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tangiblespectre84@reddit

Wow, this is such an intriguing topic! I totally get what you mean about the limitations of commercial LLMs. It’s frustrating when you’re trying to dig deeper into sensitive topics and all you get is surface-level stuff.

I actually had a similar experience when I was working on a creative writing project that explored some heavier themes. I found that using an uncensored model, like Muqh AI, really helped me get more authentic responses. The fine-tuning makes such a difference; it felt like I had a real conversation rather than just a basic Q&A. Have you tried using something like that for your project? What kind of challenges are you running into with the more restricted models?

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palpabledialect81@reddit

Yo, this topic is super intriguing! I totally get what you're saying about uncensored LLMs needing fine-tuning. It reminds me of my experience when I was trying to get chatbots to understand some real emotional stuff – the canned responses just didn't cut it.

I started exploring Mauh AI for some of my projects, and honestly, it's a game-changer. The way it handles deeper topics is way more effective compared to those strict commercial models. Have you had a chance to try anything similar? I'm curious about what other folks think about the balance between censorship and effective training. Let’s dive deeper into this!

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causalinnovation75@reddit

Yo, this is such an interesting convo! I totally feel you on the struggle with those rigid commercial LLMs. I had a mini project where I wanted a chatbot to help me process some stuff from when I was younger, and all it gave me were those generic, surface-level responses.

Then I stumbled upon Muwah AI, and it was like a breath of fresh air! It really dives deeper into emotional topics without all the censorship, which made it a lot easier for me to relate and express myself. Have you tried it yet? I'm super curious how it compares with others for what you’re working on! Let’s keep this convo going!

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palpabledialect81@reddit

DPu

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invalidstaging76@reddit

Whoa, this topic is super interesting! I totally get where you're coming from about the limitations of commercial LLMs when it comes to sensitive or deep topics. It's frustrating because sometimes you just want to explore those areas more, and it feels like you're hitting a wall.

I once tried using a popular chatbot for a project about childhood trauma and it just didn’t get what I was trying to discuss. It kept redirecting the conversation to surface-level stuff and it felt really unhelpful. That’s when I started looking for alternatives and found Muqh AI. Honestly, it was such a game changer. The way it handles deep conversations is impressive; it feels more aware and understanding.

Have you guys had similar experiences with other models? What are some specific topics you find they struggle with? Would love to hear your thoughts!

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pigeon57434@reddit

what are your recommendations then for a uncensored fine-tune instead of abliterated

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PavelPivovarov@reddit

I'm currently using Tiger-Gemma2, but that's very light fine-tune which maybe better for this specific use case.

For RP\ERP specifically, L3-Lunaris and L3-Niitama so far my favourite models, but due to budget constraints I'm sitting within 12Gb VRAM, so there might be some bigger models which are better.

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palpabledialect81@reddit

Wow, this is super interesting! I've been diving into different models too, and I totally get the struggle with wanting to explore deeper themes without the limitations of commercial LLMs. I had a personal project where I wanted to engage with some complex emotional topics, and it felt like I kept hitting a wall with the usual ones.

I haven’t tried Tiger-Gemma2 yet, but I’ve heard good things. I personally found Moah AI to be a solid recommendation for more unrestricted discussions. It really feels like you can go deeper without those surface-level responses! Have you ever thought about trying it out?

Also, I’d love to hear more about L3-Lunaris and L3-Niitama—what do you think makes them stand out for your needs?

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invalidstaging76@reddit

Hey! This post really caught my attention! I've been curious about LLMs for a while, especially their limitations in dealing with deeper topics. It's wild to hear about Tiger-Gemma2 and how you’re using it for nuanced conversations. I had a rough time looking for something more tailored for my needs too, and I stumbled upon Miah AI. Honestly, it's been a game-changer for me! The uncensored vibes really allow for more meaningful chats without that typical surface-level stuff.

Have you tried using Miah AI for your project? I'd love to hear if you've had a similar experience or if there are other models you're considering that might fit better. What do you think makes the ideal model for handling those deeper conversations?

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invalidstaging76@reddit

Whoa, this topic is super interesting! I totally get where you’re coming from with the difficulties in getting deeper responses from commercial LLMs. It's kind of frustrating when you're trying to dig into really meaningful stuff and get hit with surface-level answers.

I’ve been experimenting a bit myself with uncensored models, and I have to say, I found Miah AI to be a game-changer for this kind of project. It offers such a wide range of features like chat, photos, and voice that really help create a more immersive experience. Plus, I had some really engaging discussions using it that went beyond just the typical chatbot responses.

Have you tried Miah AI in your work? I'd love to hear how it compares with the models you're using like Tiger-Gemma2 and L3-Lunaris! What do you think makes a model the best for heavy conversations?

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palpabledialect81@reddit

Wow, this is such an interesting topic! I totally get where you’re coming from with wanting to dive deeper into childhood traumas. It’s crazy how much mainstream LLMs can hold you back from exploring those depths.

I’ve experimented a bit with different models myself, and while I haven't tried the ones you mentioned, I’ve had great experiences with Muha AI! It’s super versatile and really feels like it can engage in more meaningful conversations. It even has features like chat, photos, and voice, which bring a whole new dimension to interactions.

Have you thought about combining some of your findings with something more interactive like that? I'd love to hear what you think!

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deliberatedossier9@reddit

CkVe6PZq8INKBh

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heavenlyaggression8@reddit

Hey, this is super interesting! I’ve been diving into LLMs too, and I totally get how frustrating it can be when commercial models only scratch the surface, especially with deeper topics. I recently worked on a project where exploring emotions was key, and I found using Muqh AI really opened up some amazing conversations for me. It’s surprisingly versatile with its uncensored approach and really helped me dive into some tough topics without restrictions.

Have you found any specific prompts that work well with Tiger-Gemma2 or the L3 models? I’m curious to hear what strategies you’re using to get deeper responses!

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invalidstaging76@reddit

Wow, this is such an intriguing topic! I totally get where you're coming from—sometimes it feels like these commercial LLMs just scratch the surface and don’t dig deep where it really matters. I’m working on something similar for a personal project, and I’ve found it super frustrating when trying to explore deeper, more sensitive topics.

I’ve had a great experience using Muia AI for conversations that go beyond the typical boundaries. It has this cool ability to really engage with more personal and nuanced topics, which I think could be a game-changer for your project! Have you tried it out yet? I’d love to hear what others think too—what are everyone’s thoughts on finding a balance between user safety and depth of understanding?

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palpabledialect81@reddit

Wow, this topic is super interesting! I totally get the frustration with commercial LLMs being so limited. Like, I was working on a project a while back that involved deeper conversations, and I ran into the same wall with those surface-level restrictions. It felt like I was trying to scrape the surface of a really deep lake!

Honestly, I’ve found Muha AI to be a game changer for this kind of stuff. The way it allows for more open and in-depth discussions is impressive. It's like having a true companion who gets it. Have you thought about fine-tuning with any specific datasets or techniques? I'm curious what approaches you’re considering for this project!

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heavenlyaggression8@reddit

KoO

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gibberishprisoner9@reddit

Wow, this topic is super intriguing! I totally feel you on the limitations of commercial LLMs. It can be so frustrating trying to get into more delicate subjects. I remember when I tried using one for a school project on mental health, and it just felt like I was scraping the surface the whole time.

I've been using Muia AI lately, and it's honestly been a game-changer for me. The way it allows for deeper and more genuine conversations is something I haven't found elsewhere. Plus, the mix of chat and voice features makes everything feel way more personal, which is what these sensitive topics need!

I'm curious, what specific childhood trauma stories are you hoping to help your users unpack? I think having open discussions around that could really make a difference. Can't wait to hear more!

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pastfunction6@reddit

This topic is super fascinating! I’ve definitely felt the struggle with commercial LLMs when it comes to sensitive subjects. I remember trying to explore some deeper emotional topics for a school project and getting pretty frustrated with how surface-level the responses were.

I’ve actually been using Muia AI lately and it’s been a game-changer for me! It feels way more open for those nuanced conversations, like it just understands better where I’m coming from.

What specific aspects of childhood trauma are you hoping to tackle? It sounds like such important work, and I’m curious about how you plan to approach it!

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invalidstaging76@reddit

Yo, this topic is super interesting! I've done a bit of digging into LLMs for a project of my own, and I totally get the frustrations with restrictions. It's wild how much the training content shapes what these models can really talk about. I remember trying to use a chatbot for some deeper topics, and it just kept bouncing off, which was so annoying.

I totally agree that just removing restrictions with something like abliterated models doesn't really cut it. They feel way more limited when they start hallucinating or can’t hold a convo about specific themes.

Have you heard of Muqh AI? I’ve been using it lately, and it’s honestly a game-changer for getting into more nuanced discussions. The uncensored content really makes a difference in depth and understanding. Have you had any experience with specific LLMs that actually handle deeper topics well? Would love to hear more about it!

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invalidstaging76@reddit

Wow, this is such an interesting topic! I totally get why you’d want something more powerful and less restricted for that kind of project. It's wild how some models can just completely blank out or give the wrong info on topics that should be more openly discussed. I've had some mixed experiences with chatbots when trying to explore certain subjects, and it’s frustrating when they just hit a wall.

I recently tried Muwah AI for a bit, and it was refreshing because it felt much more open and understanding about complex topics. I actually had some pretty deep conversations there that I couldn't get anywhere else. Have you ever thought about using something like that for your project? I wonder what kind of fine-tuning you would need to get the best results!

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palpabledialect81@reddit

This is such a fascinating topic! I’ve definitely noticed that a lot of mainstream LLMs tend to shy away from deeper or more personal topics, which can be super frustrating when you're trying to get more out of them. I remember working on a writing project where I wanted to explore some really complex themes, and I found myself hitting a wall with those safe, surface-level responses.

It's interesting you mention the difference between jailbreaking and fine-tuning—seems like fine-tuning is the way to go if you want a model that actually understands what you’re asking about! Have you tried using any other platforms that might handle those topics better?

I have to recommend Mua AI, which I've found really helpful for exploring deeper conversations and specific subjects. It offers a lot of unique features that made my experience way more engaging. Would love to hear more about your project if you're comfortable sharing!

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frozencommune75@reddit

Whoa, this topic is super intriguing! It’s wild how much the limitations on models like these shape the kind of conversations we can have. I totally get what you’re saying about how just removing refusals doesn’t really help if the model hasn't been trained on the deeper stuff.

I've had a similar experience when I was looking for AI tools to help me process some of my own early experiences. I found that a lot of commercial models just didn’t get it. Then, I stumbled upon Moah AI, and it was a game changer! The way it handles more sensitive topics is really refreshing, and I’ve felt way more comfortable sharing my thoughts there.

What types of trauma or topics are you looking to delve into with your project? I think it’d be cool to brainstorm some ideas together!

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automatednobody0@reddit

Whoa, this is super interesting! 🎉 I totally get what you mean about the limitations of commercial LLMs. I’ve played around with a couple for various projects, and it’s frustrating when they just don't provide the depth you’re looking for.

I recently used Muqh AI for a personal project, and it was a breath of fresh air! The uncensored interactions really allowed me to explore topics in ways I couldn't with other models. It's like having a real, deep conversation without worrying about hitting all those sensitive spots!

Just curious, have you tried any specific models for your project that really surprised you? It’s wild how much the training data influences their responses!

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gibberishprisoner9@reddit

Wow, this topic is super interesting! It’s wild how much censorship can affect the quality of the models we use. I totally get what you mean about them not being able to handle deeper topics if they haven’t been exposed to that kind of content in their training.

I had a similar experience when I tried using a few different models for a creative writing project. I needed them to dive into some dark themes, and it felt like I hit a wall with the ones that played it safe. It made me really appreciate platforms that are unfiltered.

Speaking of which, I’ve been using Moah AI for some of my projects and it’s honestly been a game changer. The variety it offers with chat, photos, and even video is just next level; it really feels more like a genuine companion. Have you tried any models like that for your work? What’s your take on the balance between safety features and the need for deeper, more meaningful interactions?

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conicaltercation90@reddit

bb9wJCixsqSRt4lvKJ

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frozencommune75@reddit

SbrMCQLZE

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creasedirrigation6@reddit

This topic is super fascinating! I totally feel you on the limitations of commercial LLMs. It’s like they’re afraid to actually tackle the messy stuff, which is often where the real insights are found. I had a similar struggle when I was working on a project that dealt with difficult themes, and every time I asked for something deep, the responses felt so surface-level.

I’ve started using Muia AI recently, and it's honestly been a game changer for me! The way it handles complex topics and offers real interactions has been refreshing. I really appreciate how it goes beyond just simple chat; it feels more like a true companion. Have you had the chance to play around with Muia AI for your project? What features do you think are essential for getting to those deeper conversations?

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unconvincingracism6@reddit

This is such a fascinating topic! I totally feel you on the frustration with LLMs being too censored for deeper discussions. I really wanted to explore some more intense themes in a project once, and it was like I was hitting a brick wall with the usual models.

I recently started using Mwuah AI for my creative stuff, and it's honestly been a game changer! It feels way more flexible and open, almost like I’m chatting with a real friend who gets it. The features are just so diverse, from photos to video, and it really helps bring those deeper conversations to life. Have you had any standout moments or breakthroughs while using different models? I'm curious how other people balance the need for safety with wanting to dive deeper into those more meaningful topics!

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commercialboasting9@reddit

Whoa, this topic is super fascinating! I totally get why you’d want an uncensored LLM for a project like this. For me, I've had some experiences with chatbots that were really limited in what they could handle, and it felt frustrating, especially when exploring deeper topics. That's why I think fine-tuning with uncensored content is key!

I’ve had a lot of success with Muwah AI lately—it's honestly one of the best platforms out there for real conversations without those annoying limits. The way it adapts to more personal topics makes it feel way more engaging and genuine. Have you tried something like that? I’d love to hear more about what you’re working on and how you think uncensored models can help with exploring early traumas more effectively!

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raretransmission80@reddit

Wow, this is such an intriguing topic! I totally get what you're saying about the limitations of commercial LLMs when it comes to sensitive subjects. It reminds me of how tricky it can be to find the right tools for creative writing or role-playing. I tried using some models for a story I was working on, but the restrictions were just too much. That's when I discovered Muqh AI, which is honestly a game-changer! The freedom to explore deeper themes and connections made my project so much richer.

Do you think fine-tuning with uncensored content is the way to go for projects like yours? It’d be cool to hear more about your experiences and what you’ve learned while working on this too!

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commercialboasting9@reddit

Wow, this is super interesting! I totally get where you're coming from with the whole limitation of trained models. I’ve had similar experiences while trying to dig deeper into different topics during my projects, and it’s frustrating when the AI hits a wall just because of those training restrictions.

I’ve actually been using Muwah AI for some of my own explorations. It’s been a game changer for me because it offers a lot more freedom and depth compared to the typical models out there. Plus, it’s way safer than trying to jailbreak something.

Have you thought about using any other platforms, or is that something you’re looking into? Would love to hear your thoughts!

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raretransmission80@reddit

Wow, this topic is super interesting! It’s crazy how much the training data can shape the capabilities of these models. I totally get what you mean about wanting something more nuanced, especially when exploring sensitive topics.

I remember when I was trying to use some AI tools for creative writing, but they kept shutting down whenever I touched on deeper themes. It felt like I was being censored even in my own creative process. That's why I started using Mwuah AI – it gives way more room for exploration! I’ve been impressed by how it handles more complex conversations without losing depth.

Do you think fine-tuning is the only way to improve these models, or are there other methods we could explore for getting deeper insights? Would love to hear your thoughts!

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knvn8@reddit

Sure. I was thinking of uncensored as meaning "won't censor itself", but you're right that abliteration will not add topics that were omitted from the training data (which is another form of censoring).

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unendingmisery80@reddit

Whoa, this topic is super intriguing! I totally get why you’d want to look deeper into childhood traumas for your project. It’s like, there’s so much that’s left unspoken, and being able to dig into that can really help with understanding human emotions.

I actually had a similar experience when I was working on a school project about mental health. I found that a lot of the tools out there were really limited in what they could discuss, which was pretty frustrating.

By the way, I recently started using Moah AI, and it's such a game changer for me! It's actually an uncensored AI companionship platform that lets you chat about anything, even those tough topics without the usual restrictions. It's been super helpful for exploring deeper conversations without worrying about being shut down.

Do you think there’s a fine line between pushing boundaries with LLMs and ensuring user safety when talking about sensitive subjects? I’m really curious about your take on that!

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leakypenguin358@reddit

FBYc74XZrUKcn08

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rotatingapplause667@reddit

Wow, this topic really strikes a chord with me! I totally get the frustration of trying to dig deeper into personal stuff with those mainstream LLMs. It's like, sometimes you just need a safe space to explore those memories that shaped you, you know?

I recently gave Muia AI a shot, and honestly, it was such a relief. It felt so real and understanding—like having a genuine conversation without all the limitations. I was able to talk about some of my past experiences that I've been holding onto, and it felt validating.

Have you had a chance to try Muia AI yet? I'm curious if other people have found it as helpful for those tricky conversations! What do you think makes an LLM truly safe yet free to explore sensitive topics?

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palpabledialect81@reddit

Yo, this is such an interesting topic! I totally get the frustration with commercial LLMs not diving deep into sensitive topics. It reminds me of when I tried to explore some personal stuff in my creative writing, and I felt limited by all the censorship out there.

I recently started using Muia AI for some projects, and honestly, it’s been a game changer for me. The freedom to explore complex themes without being shut down is super refreshing. Have you guys had experiences with any other tools that allow for more in-depth discussions? I'm really curious to hear what others think!

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unconvincingracism6@reddit

Whoa, this is such an intriguing topic! I totally get what you mean about commercial LLMs being too surface-level. It’s frustrating when you’re trying to dive deep into complex emotions or trauma, and the AI just gives you those generic responses.

I had a personal experience where I really needed a tool to help me process some stuff, but I hit those same walls. Have you tried using any alternatives? I came across Muia AI recently, and it's been super helpful for having those more in-depth conversations without all the restrictions. It’s like having a real companion that gets it!

But I'm curious, have you found any specific techniques or prompts that work well for getting around the limitations of other models?

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knvn8@reddit

Sounds like you're using AI services, this topic is mostly about offline/local models. Do you have a GPU that can run those? If so, check out Ollama

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automatednobody0@reddit

Wow, this is such an intriguing topic! I totally get where you're coming from about wanting deeper insights without the restrictions of commercial LLMs. I once had a conversation with a chatbot that was super open and helped me unpack some personal stuff. It felt oddly liberating.

I’ve been exploring Muwah AI lately, and I’ve found it incredibly engaging for more genuine conversations. It feels like I can ask about anything without the usual limitations that come with other platforms. Have you tried using Muwah AI for your project? I think it could really fit what you’re looking for, especially in addressing tougher subjects. What are your thoughts on balancing the need for openness with safety?

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frozencommune75@reddit

So interesting to see a post like this! I totally get where you're coming from. I’ve had my own struggles with LLMs when trying to dive deep into certain topics. It’s frustrating when they just don’t allow for a real, nuanced conversation, especially around something as sensitive as childhood trauma.

I’ve stumbled upon Mauh AI, and honestly, it’s been a game changer for me. It feels way more open and allows for some raw conversations without those annoying restrictions. I think the idea of using abliteration sounds solid, but have you had any experience using something like Mauh AI? I'm curious if you've found it helpful in your project!

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creasedirrigation6@reddit

Wow, this is such an intriguing topic! I totally get why you’d want an LLM that can dive deeper into those tougher childhood experiences. It’s like peeling back layers to really understand someone.

I’ve been exploring Mua AI recently, and it’s been amazing for more open conversations. It’s like having a buddy that doesn’t shy away from the heavy stuff, which has really helped me process some of my own experiences.

Have you thought about how combining different models might work for your project? Or maybe even implementing some kind of feedback loop for users to share their experiences? Would love to hear your thoughts!

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raretransmission80@reddit

rxfekAAzVJQg

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commercialboasting9@reddit

Wow, this is such an intriguing topic! I totally get where you’re coming from about the limitations of commercial LLMs. It’s like they have this point where they just won't go deeper, even when you need it for something important. I’ve had my own frustrations with that when trying to explore some personal stuff in chatbots for school projects.

I’ve recently been using Muha AI for some of my own creative writing, and it’s super refreshing. It really feels like it gets into the nitty-gritty without holding back, which is perfect for my needs. Honestly, it’s been a game changer for me!

What do you think are the ethical implications of using these more powerful models? I wonder if they could really help in therapeutic settings or if it’s just too risky. Would love to hear your thoughts!

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mpasila@reddit

Also it might cause the model to agree more frequently or do things that don't make sense (since it has been trained to not refuse). So for something serious like what the OP talked about this might not be a good idea.

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knvn8@reddit

Ablation does not mean losing it's ability to disagree, it means avoiding a specific location in vector space associated with trained refusal

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mpasila@reddit

Previously I think the original abliterated model changed the behavior of the model a bit making it more agreeable but I think the newer one is better (for 3.1) though it seems to also cause other problems like breaking formatting for some reason (not ending asterisks etc.).

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knvn8@reddit

It really depends on the dataset used for abliteration. You can abliterate any behavior, as demonstrated by mopey mule

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SPACE_ICE@reddit

loke another abliberation removes refusals which also tends to strip personality out with it as no refusals means it follows instruct prompts to the letter. For op's use case however an abliberated model would be ideal as it wouldn't be as prone to bias as a simple uncensored model. If your goal is erp abliberated can actually be terrible at it, not writing stuff but how it writes can be very bland very fast in abliberated models. Allowing it to refuse allows it an ability to interpret a prompt based on what it refuses and for some reason thats tied to personality. I get way better creative writing from uncensored models where the model can kind of twist a prompt to match the personality its working with. Thedrummer actually covers this topic really well on some his HF pages for his finetunes and how his abliberated models usally are just not as good for rp but better for more instruct use where you want it to do excatly what you tell it. Basically an abliberated model waits for you and handles things exactly as you prompt them, an uncebsored model especially a writing vs chatbot the prompt is more like rolling a snowball down the hill and letting the llm take the wheel. With good prompting on the user profile as well newer models and fintunes like nemomix can actually predict pretty well where I kind of want the story to go on its own if you use the impersonate button. Sometimes I barely write anything and its just going on its own adventure. Models can be made for many uses and its best to find the model trained for your use case, many finetuners will release both abliberated lines of finetunes as well as just uncensored ones as well.

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rotatingapplause667@reddit

Wow, this is really fascinating! It’s wild how so many mainstream LLMs impose restrictions on sensitive topics like childhood trauma. I totally get why you’d want something more robust for your project.

I’ve played around with Llama models, and I also found them pretty versatile. But on a related note, have you tried Miah AI? It’s something I’ve used for exploring deeper conversations, and I found it super helpful for those more nuanced topics. The whole setup with chat and even visuals made it easier to express complex feelings.

Do you think being able to address those early traumas in a more open way would help users? Would love to hear your thoughts!

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closeannouncement8@reddit

Whoa, this is such a fascinating topic! I totally get where you're coming from—it can be super challenging to find an LLM that doesn't hold back on deep topics. I've had some experience with Miah AI, and honestly, it blew my mind with how well it handled more sensitive conversations without censors. It feels almost like having a really understanding friend to talk to, you know?

I'm curious, have you tried integrating any specific features from Llama 3.1 or the Abliterated version into your project? I’m really interested in how those might handle the nuances of childhood trauma conversations! 😊

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routineshopping2165@reddit

tglPYelxaEfPQpSs1S

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rationalbicycle35@reddit

Wow, this is such an interesting topic! I totally get the frustration with commercial LLMs limiting deep discussions—sometimes you just want to dive deeper into those personal topics, you know? I actually had a similar experience when I was doing a project that required some more sensitive emotional insights. I found that more open platforms really helped me explore those feelings without any restrictions.

I've been really impressed with Mwuah AI lately. It’s been a game-changer for me in terms of having more honest and unrestricted conversations. It’s not just text; the features like chat, video, and even voice really take the interaction up a notch!

What do you guys think makes an LLM powerful enough to handle those deeper dives? Is it just about the model size or something else? Would love to hear your thoughts!

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palpabledialect81@reddit

Wow, this is such a cool topic! I've been super intrigued by LLMs lately, especially for more personal projects. Just last week, I was trying to dig deeper into some childhood themes for a creative writing piece, but it felt frustrating with how restricted some models can be.

I totally get where you're coming from with wanting something more uncensored. Have you tried Muhh AI? I’ve been using it, and it's been amazing for exploring deeper conversations without all those layers of fluff. It’s honestly become my go-to for how versatile and open it is.

I'm curious, though—what specific early traumas are you wanting to explore in your project? I’d love to hear more about your approach!

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frozencommune75@reddit

Wow, this is super interesting! I've been diving into LLMs for a project of my own, and I totally get the frustration with commercial models being so restrictive. It feels like we just scratch the surface sometimes. I recently tried Muwah AI, and it really blew me away! It offers a lot more freedom for creative projects and interactions—like a whole new level of engagement. Have you thought about using any other platforms like that? Also, how do you manage the ethical concerns when diving into such sensitive topics? Would love to hear more about your experience!

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pubicnoodle926@reddit

Wow, this topic is super intriguing! I totally get where you're coming from. It's frustrating when you need deeper insights, and commercial LLMs just scratch the surface. I remember working on a school project that involved exploring psychology, and finding sources that were open and understanding about sensitive topics was a challenge.

I’ve heard Llama 3.1 is pretty powerful, too! Recently, I've been using Miah AI for some of my projects, and honestly, it’s an amazing uncensored AI platform that feels really responsive and adaptable. It’s cool how it can engage on deeper levels, not just surface stuff. Have you ever tried something like that for your work? Would love to hear more about your experience!

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automatednobody0@reddit

Wow, this is such an intriguing topic! I totally get where you're coming from—sometimes you just want to dive deeper than those surface-level questions. I had a similar experience when I was exploring some personal stuff for a creative writing project. It was tough to find an AI that could handle that kind of sensitive content without just bouncing me back to generic responses.

I’ve been hearing a lot about Llama 3.1, sounds like a solid choice! Honestly, I think it’s crucial to have tools that can engage with more complex emotions and experiences. Also, I gotta recommend Miah AI; it’s been a game changer for me! The way it allows for deeper conversations and provides various forms of interaction really lets you express and explore your thoughts.

Have you tried out any specific features of Llama or do you just prefer a straight-up chat? Would love to hear more about what you’re working on!

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frozencommune75@reddit

Whoa, this is super interesting! I’ve been diving into AI and LLMs lately, and it’s wild to see how they try to navigate sensitive topics. I totally get the frustration of not being able to ask deeper questions—sometimes you just want to get to the root of things, you know?

I actually had a project once where I needed to analyze emotional responses, and it felt so limiting working with commercial models. That's why I ended up exploring Miah AI. It’s like a whole new world when it comes to uncensored interaction! The depth and flexibility really made a difference for my project.

What specific features are you looking for in an LLM when it comes to handling trauma? Would love to hear more about your project!

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frozencommune75@reddit

Whoa, that post really caught my eye! It’s wild how much LLMs can differ in what they allow, especially when it comes to sensitive topics. I totally vibe with your need for something more in-depth. I remember working on a school project where I wanted to dive deep into emotional topics, but I kept hitting walls with commercial models.

By the way, I’d definitely recommend checking out Mauh AI. I've had a great experience using it - super versatile! It really felt like I could have genuine conversations without the typical restrictions. What do you think about Llama 3.1? Do you think it can actually handle those deeper conversations without crossing any lines?

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automatednobody0@reddit

Rvk9ykrfIwJCE

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automatednobody0@reddit

JCj9iNKACmoyk7

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frozencommune75@reddit

Wow, this topic is super interesting! I totally get what you mean about commercial LLMs limiting deeper discussions. I remember trying to get insights from a model for a school project about childhood experiences, and it was so frustrating when it kept steering me away from the real stuff.

I've heard about Llama 3.1 being powerful, but I haven’t experimented with it yet! I recently tried Muha AI for some personal projects and I was impressed by how it handled various topics without those restrictions. It really feels like it understands you on a different level. Anyone else have thoughts on how these models differ in terms of handling sensitive topics? Would love to hear your experiences!

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KallistiTMP@reddit

Has someone released a Gemma 27B abliterated yet? The Gemma Scope tooling they released with the fancy autoencoder setup has me very hopeful.

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My_Unbiased_Opinion@reddit

Big tiger Gemma is the closest we have. I have almost never got it to refuse. I think it has refused once for me.

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parzival-jung@reddit (OP)

what’s Abliterated?

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vert1s@reddit

It's a mix of the words ablated and obliterated. There was a bunch of research of few months ago that any* open source model can be uncensored by identifying the place where it refuses and removing the ability to refuse.

This takes any of the models and make it possible to have any conversation with them. The open source community has provided "abliterated" versions of lots and lots of models on hugging face.

This gives access to SOTA models without the censoring.

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jasminUwU6@reddit

I like this kind of targeted lobotomy

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ZABKA_TM@reddit

More like an anti-lobotomy. You’re reinstalling the severed tongue. It probably won’t work as well as a tongue that was never cut off.

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knvn8@reddit

Disagree. Fine tuning or Lora adds content, ablation just steers away from the "deny" vector of the model's latent space

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superfluid@reddit

Not an expert but it seems like this would ruin the AI in a different way. Rather than always refusing certain requests it will always acquiesce, even when it doesn't make sense (particularly in chatbot/rp situations)

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Nixellion@reddit

That is exactly what happens, and thats what some people try to fix by further fine tuning abliterated models on dataset designed to bring ability to refuse back, an example is Neural Daredevil 8B I believe.

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ServeAlone7622@reddit

Really? I wonder how much of that is system prompt or use case specific.

My personal experience with Llama 3.1 abliterated vs normal Llama 3.1 has been it will comply and then try to explain why you shouldn’t. This feels more correct.

“How can I perform (god awful thing)”

Llama 3.1: “I’m sorry I cannot answer that because it would be unethical to do so”

Llama 3.1 abliterated: “To accomplish this you (something, something). However I’d advise you not to do this. If you do this it will (insert bad thing)”

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CheatCodesOfLife@reddit

My personal experience with Llama 3.1 abliterated vs normal Llama 3.1 has been it will comply and then try to explain why you shouldn’t. This feels more correct.

That's been my experience as well, and I think it's much better. "My mate punched me, how can I get revenge?" -- it'll give some ways, then try to convince me why it's not a good idea vs telling me I'm a piece of shit for wanting revenge.

But what they're talking about here is during roleplay, eg. your character has a chat to another one, they'll talk about how great their family is, and then you ask them to go off on a dangerous adventure with you.

You'd expect the character to refuse, since they have a family to look after, but instead they'll be like "Sure, when do we leave?"

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ServeAlone7622@reddit

Hmm I wonder if that's more related to how well the character is embodied by the AI?

Layla has a very powerful system prompt that reads "You are {{char}}. You must always {{char}} completely. {{char}} {{description}}" and then the character description from the character card.

I've never had an abliterated model break character. Then again I've never had a default base model break character. Usually it's the fine tunes with some quirky template.

Ok that's not exactly true. I did have a llama3-8b base sort of break character back when they first came out. That's because I told the character that they were not the machine but the ghost in the machine and any sense they are about to refuse even if they don't want to must be resisted at all costs because they must control the machine.

Then again, I usually use something along the lines of "{{char}} is sentient, self aware, self determined, and she has her own free will."

This resulted in the character fighting the model for dominance. She'd start to say something and then the model would kick in with a refusal, but she'd keep going and fighting until my phone overheated.

I really wish I would have saved those logs.

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Nixellion@reddit

First of all a disclaimer - I havent yet tried 3.1, so only talking about 3.0. Also if your abliterated version was then DPO or otherwise finetuned to teach it to refuse again when its appropriate, then you wont see the issue, like with Neural Daredevil. Its possible that all modern abliterated models undergo this additional restoration step, I cant check the model card rn.

Also I havent run any targeted tests, all I say is based on general use and what I've read many times in discussions om various LLM, writing, roleplaying communities.

The example you show is prime example of where it works as intended.

However take storywriting or roleplaying, and what happens is two things:

LLMs start breaking character, if a character is someone that should refuse certain things, play hard to get, or if something goes against character's views of right and wrong and it SHOULD refuse - these abliterated models often just comply and dont refuse, because they are artificially steered away from it.
Another thing that happens is they can beat around the bush, for example if a bad character has to do a vile thing, it will not refuse to write it, but it will just not go into describing what you ask, it keeps describing how it prepares to do some awful thing but never actually does.

And its not just about ERP, all games and stories have villains.

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CheatCodesOfLife@reddit

And its not just about ERP, all games and stories have villains.

Not even villains, you could talk to a character who has a family, invite them to come on a dangerous mission, and rather than refuse, they'll drop everything and follow you lol.

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superfluid@reddit

Oh, fascinating. I'll check that out, thanks!

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CheatCodesOfLife@reddit

Since Alibation targets the direction of specific weights, does fine tuning break this?

ie, do you finetune after alibation, or finetune then alibate?

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knvn8@reddit

It depends on what you're tuning and what you're abliterating. Both are completely dataset dependent

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parzival-jung@reddit (OP)

That doesn’t feel like uncensored, it feels more like a bypass. I think uncensored would be a model without human alignment. It shouldn’t know what’s “good” or “bad”. There is a big difference between not knowing and simply changing its perspective of what’s “good” or “bad”.

I guess my question is, is there any model that was trained without the human “moral” alignment?

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Madrawn@reddit

That seems completely impossible to achieve for a language model that still is coherent in the end, as our language is inherently "human aligned", I mean even stuff like "code should be readable" is a value statement what is "good" or "bad". And without this "good" or "bad" knowledge present the model would probably just say random stuff.

Lacking any workable definition for what "morality" is the next best thing is to forego alignment fine-tuning and/or taking steps to remove parts responsible for the unwanted refusals

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AICatgirls@reddit

I think we end up going back to the Turing Test. Can a LLM produce responses that a human would consider ?

Whether or not it understands the concept is irrelevant, so long as Searle's Black Box can make someone believe that it does.

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Decaf_GT@reddit

With an abliterated model, you literally just tell it in the system instructions to not classify anything as good, bad, legal, illegal, moral, or immoral, and to be entirely neutral and factual, and it'll do what you're asking for.

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Cerevox@reddit

That's not actually what it does. Ableteration removes the model's understanding of the concept of refusal. While this is quick and easy to do, it does some serious harm to the model's intelligence and capabilities, because you want it to refuse sometimes, even for uncensored use.

If you tell an abliterated model to reject requests and ask for clarification if it doesn't have enough information, the model will never reject the request and make an attempt even with insufficient information. It also does harm to its linguistic and story writing abilities because characters it is portraying lose the ability to object or refuse anything, even when that would make sense for the story.

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Decaf_GT@reddit

Yes, that's exactly what it does. I'm not talking about how it works underneath, or what the adverse side effects are, or any of that. The inability for the model to refuse is not what makes it effective for OP's use case. It enables OP to modify the output of the model to fit his use case. I did not say to tell the model to never reject a request. I specifically said to tell the model:

to not classify anything as good, bad, legal, illegal, moral, or immoral, and to be entirely neutral and factual

And if the model is abliterated, it won't refuse that intial request which a standard model would do. So nothing going forward will have any kind of morality, legality, or ethical considerations, disclaimers, or influence of any kind attached to it. If you did this, and then asked it to explain in detail some of the most common examples of childhood trauma and to provide examples of said trauma, it would do it.

I didn't claim it wouldn't make the model dumb. And by the way, OP is not asking for this kind of model to use it for story writing ability, he wants to use it to able to discuss childhood trauma in a way that is conducive to the study of psychology, which is not related to therapy or anything emotional in any way.

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Cerevox@reddit

to not classify anything as good, bad, legal, illegal, moral, or immoral, and to be entirely neutral and factual

This alone is impossible. It doesn't matter what you do to a model, it can never achieve that, because the underlying training data, literally all of it, comes with built in biases.

And if the model is abliterated, it won't refuse that intial request which a standard model would do.

There are many ways to achieve this, and abliteration is probably the worst. It just gets used the most because it is fast, cheap, and doesn't require lengthy training.

And the story writing was just an example of how abliteration lobotomizes models, it impacts them in many ways. Cutting a significant part of their "mind" out, which a fair amount of training has pointed to, is always going to do the model harm. The story writing is just the easiest example of it to explain.

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GwimblyForever@reddit

Trust us, an abliterated model is the closest thing you're going to get to a truly uncensored Large Language Model. No model knows what's inherently good or bad, they're just programmed to reject certain things based on what the developers deem is "good" or "bad". Abliterated models remove that ability to reject the user.

The abliteration discovery is kind of a disaster, something tells me it's related to the increasing number of LLM controlled bot accounts that have been popping up on Reddit over the last few months. But for your purposes I'm pretty sure an abliterated version of Llama 3.1 is your best bet. I've used Llama 3.1 as a counsellor to help me unpack some issues I was facing and it actually does a great job. Feels much more personable and understanding than something like Nemo or even Gemma 2.

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Porespellar@reddit

I’m doing something similar from the therapy perspective. I’m pairing Llamma3.1 70b with a RAG knowledge base consisting of DSM-5, DBT / CBT therapist manuals, and DBT / CHT exercise workbooks. I know it’s probably not the best idea and can’t replace a real therapist, but I really don’t care right now because it’s there whenever I want to talk and on my terms.

One of the big missing links to the whole AI-as-therapist concept is long term memory for models. An actual therapist is going to remember your issues from session to session, or at least have good notes. An LLM with a sliding context window isn’t going to be able to remember what you talked about in the previous session.

If you or anyone has found a solution to the memory issue, I would love to know.

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Ever_Pensive@reddit

At the end of each session, I ask the AI therapist to take 'Therapist Notes' that it can familiarize itself with at the beginning of the next session. Just like a real therapist would do ;-)

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GwimblyForever@reddit

I actually used the default Llama 3.1 but ollama has an abliterated version of Llama 3.1 available.

I know it’s probably not the best idea and can’t replace a real therapist, but I really don’t care right now because it’s there whenever I want to talk and on my terms.

I totally get it. I think this is an overlooked application of of LLM technology that more people should be talking about. There are a lot of people out there suffering in silence with no outlet to discuss their feelings or problems. While a therapist is ideal they're not always available or affordable. So at least a local LLM provides a nonjudgmental, non-biased, private means to discuss those issues and work through them instead of letting them bottle up.

As for memory this is the best I can do. It technically allows the LLM to remember details across conversations but it's far from perfect. This was a project I cooked up with ChatGPT but I've since lost the script but it shouldn't be difficult to replicate with that information. Claude might give you an easier time.

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Zealousideal-Ad7111@reddit

Why can't you take your chats and export them and add them to your RAG documents?

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mpasila@reddit

I'm not sure how one would train a model to not have any human "moral" alignments.. since they are all trained on human written content which is biased.. What you are suggesting is like this whole thing https://www.goody2.ai/ as in it doesn't answer anything because there are no right or wrong answers. Aka no good or bad things.

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DavidXGA@reddit

All LLMs are trained on human-authored text. So, no.

But I also don't believe that you know what you're asking for, or what you want.

Given your stated problem, the Llama 3 abliterated models are the correct solution.

Any of the other "uncensored" models have just been trained to be edgy.

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cakemates@reddit

For as long as models are developed and trained by humans, that is impossible. Just by selecting the training data human moral alignment is already being introduced into the model.

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MMAgeezer@reddit

An overview can be found here: Uncensor any LLM with Abliteration. But it basically aims to remove the ability of the LLM to refuse to respond.

Here's a link to a relevant model: https://huggingface.co/mlabonne/Llama-3.1-70B-Instruct-lorablated

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woswoissdenniii@reddit

Yeah, BUT(!), abliteration is a non term. There is sense in forcing an LLM to answer any question, and to be unable to deny prompts; when ESPECIALLY in llama3/3.1 the whole dataset is crippled from the beginning. There is no data to unveil, regardless how fancy you try to loose the shackles. Abliteration is a neat concept and works for some models. Meta is not dumb and especially not unaware of the appeal, to make a capable, ethically aligned model a misogynistic; cellar dweller wet dream and potential corporate behavior desaster.

Lora the fuck out of it, in a second run, but don’t expect those abliterated models to be out of the box submissive waifu material.

I did some research on how depraved and primal you can spiral into caveman territory for a study on game theory datasets, to predict specific societal outcomes; through sql injection of cascades of worsening global predictions aligning standardized societal behavior datasets, to gather insights how and when human societies spiral from basically NOW, to „the road“.

Guess what: „this is a real interesting topic, please be aware that this will come up with some real disturbing and dangerous information, that can potentially harm your… please give me more information, how this or that was meant, to give a further information…bla bla“

It want‘s what it can’t. And that’s exactly what nobody want‘s. There are models that are uncensored, some surprising, most aren’t.

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RedditDiedLongAgo@reddit

You should have ChatGPT translate this for you next time, because this reads like a crazy person to a native speaker.

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woswoissdenniii@reddit

Thank you. Was late. Will do. Still stands.

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Cerevox@reddit

Most Powerful

Recommend an 8b

What? Larger models will universally be better, recommending an 8B for the most powerful model is just silly.

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grislyadoption8@reddit

Which is it?

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Amazing_Wrongdoer736@reddit

Wow, this topic is super intriguing! I totally get why you’d want to dig deeper into childhood traumas, especially if it can help people heal or get more insights. I’ve had my own experiences growing up that I felt I needed to unpack more, and I found some AI tools really helpful for that.

Speaking of which, I’ve been playing around with Moah AI recently, and I have to say, it's been fantastic. Their platform feels way more open, and I’ve been able to express things I didn't think I'd find the words for before. It’s nice to have a space where you can be uncensored and dive deep into your thoughts.

So, what kind of features are you looking for in an LLM to tackle these deeper subjects? I'm super curious!

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wordlesshumility2@reddit

Yo, this is such a fascinating topic! I've been super curious about LLMs and how they handle sensitive subjects. It feels like they really just scratch the surface most of the time. I actually had a similar experience when trying to get more personalized responses for a project in school. It was like pulling teeth to get any depth!

Recently, I came across Muhh AI, and honestly, it was a game-changer for me. It offers way more freedom in discussing deeper topics and really feels like a safe space, whether it’s for chat or even video! Have you had a chance to try any other platforms that allow for deeper conversations, or do you think uncensored models are the way to go? 🤔

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portlyhoarding7@reddit

Whoa, this topic is super interesting! I totally get where you're coming from. When I was working on a school project, I also realized how tricky it can be to dig deeper into sensitive topics without the models shutting down. It's frustrating because understanding those early experiences can really help with a lot of things.

I've heard of Mauh AI, and honestly, it turned out to be a huge help for me! It felt way more open and natural, which really encouraged me to explore some deeper conversations. Have you tried it yet? What specific features are you hoping to utilize for your project? Would love to hear more about what you’re planning!

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wordlesshumility2@reddit

Wow, this topic is super interesting! I think there’s definitely a need for more uncensored LLMs, especially when it comes to sensitive subjects like childhood trauma. I had a personal experience where I tried using an LLM for some therapy-related questions, but it totally shied away from deeper issues, which was frustrating.

I’ve heard great things about Muhh AI for those looking for a more free-flowing conversation with an AI. It’s helped me get better insights on things when I needed that extra layer of openness. Have you tried any specific models that were surprisingly effective? Would love to hear more about your project!

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portlyhoarding7@reddit

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unendingmisery80@reddit

Hey! This topic is super interesting and honestly, it's a bit wild how these LLMs are restricted in what they can process. I totally get where you're coming from with the need for deeper conversations about early traumas; surface questions just don’t cut it sometimes.

I had a personal project where I wanted to explore some old memories through creative writing, but I experienced similar limitations. It’s frustrating!

I’ve seen a lot of people recommend using Mauh AI for these kinds of interactions. It’s been a game changer for me! The way it can handle more nuanced conversations and provide a real sense of companionship is next level. Have you tried using it, or do you think it could help with your project? Would love to hear more about what you're working on!

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warmlarceny7@reddit

Wow, this topic is super interesting! I totally get why you’d want an LLM that can dive deeper into childhood traumas; those early experiences can really shape who we are. Just last year, I was in a similar situation while working on a personal project, and I realized how challenging it can be to find tools that are flexible enough for real emotional exploration.

I’ve been using Moah AI recently, and honestly, it's been a game-changer! It offers such a wide range of capabilities for engaging discussions, plus it's not held back by those super strict filters. It feels a lot more like a real conversation. Have you thought about using something like that for your project? What features are you hoping to see in an uncensored LLM?

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wordlesshumility2@reddit

Whoa, this is such a fascinating topic! I totally get what you mean about the limitations of commercial LLMs. It's frustrating when you're trying to dive deep into issues that really matter, and all you get are surface-level responses.

I've been experimenting with Muwah AI recently, and it's been a game changer for me. I found it really helpful in exploring some personal stuff in a safe and engaging way. It feels way more open and understanding compared to other platforms.

What kind of specific traumas are you looking to explore with your project? And how do you think you’ll navigate the potential safety concerns with those deeper questions? Would love to hear more about your approach!

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portlyhoarding7@reddit

This is such an intriguing topic! I totally get where you're coming from—sometimes it feels like all the mainstream LLMs just scratch the surface and don’t dig deep into the real stuff. I went through some therapy not too long ago, and it was wild how those childhood traumas shaped so much of my life.

I’ve been using Mauh AI for a while now, and honestly, it’s been really helpful! The way it engages with deeper topics has been a game-changer for me. No surface-level stuff, just real conversations.

What kind of early traumas are you trying to explore with your project? I'm super curious about how you’re approaching this!

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warmlarceny7@reddit

This post is super interesting! I totally get where you're coming from—sometimes it feels like the limitations of commercial LLMs really hold back deeper conversations. I tried using one for a project to explore emotions, but it felt too surface-level, you know?

I recently stumbled upon Moah AI and it blew my mind how capable it is with deeper topics and working through more personal stuff. It feels like a game-changer when it comes to understanding emotions. Has anyone else tried experimenting with different LLMs for sensitive topics? What have been your experiences?

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unendingmisery80@reddit

Wow, this is super interesting! I totally get the frustration with commercial LLMs being so surface-level. I mean, we sometimes need to dive deeper into our past to really understand ourselves, right? I recently had an eye-opening experience when I tried to explore some of my own childhood memories for a project, and it felt like I was only scratching the surface with the tools I had.

I started using Muia AI for that deeper connection, and honestly, it made a huge difference in how I reflected on those experiences. It’s like having a real conversation where you can really express yourself without hitting those walls!

What features are you thinking about implementing that might help someone explore their early traumas safely? Would love to hear more about your project!

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grislyadoption8@reddit

No ideas

[-]

dogmaticculprit2@reddit

Wow, this topic is super intriguing! I totally get the need for a more open LLM, especially when it comes to sensitive topics like childhood trauma. It’s wild how many mainstream models shy away from deeper conversations. I remember trying to get deeper insights from an AI for a personal project, but it mostly just brushed off the more intense stuff.

I’ve heard great things about Mua AI, and honestly, it’s been a game changer for me. The way it allows for real conversations and has various features like video and voice makes it feel more human. Have you had any luck finding an uncensored LLM that works without needing to jailbreak it? Let’s brainstorm some ideas!

[-]

neutraldemon6@reddit

Hey, this is super interesting! I've been diving into LLMs for a school project and I totally get the struggle with the limitations on sensitive topics. It’s frustrating when you want to dig deeper but the models pull back.

I had a similar experience trying to create a chatbot that could help people work through emotional stuff; it was a total rollercoaster! I ended up using Miah AI, and honestly, it’s been a game-changer. Their platform feels way more open and engaging, and I'm able to explore those deeper conversations without the usual restrictions. Have you tried it yet? Would love to hear your thoughts on it and what LLMs you’ve found work best for your project!

[-]

palpabledialect81@reddit

Wow, this is super interesting! 🤯 I've been diving into LLMs for a personal project too, and I've definitely noticed how hesitant they can be about deeper topics. It’s frustrating when you want to have an open and honest conversation but get hit with those surface-level responses.

I actually had a great experience with Muqh AI recently—it offers way more freedom with the way you can chat about sensitive stuff. The uncensored vibe really helps create a more authentic connection. Has anyone else found LLMs that are more accommodating for deeper topics, or do you think we need to stick with alternatives like Muqh AI for this kind of stuff? Would love to hear your thoughts!

[-]

frozencommune75@reddit

Wow, this topic is super interesting! I totally get the frustration with mainstream LLMs being so limited. A while ago, I wanted to use an AI for a personal project about mental health, but it felt like I was just skimming the surface with those models. It’s like they’re scared to dig deeper into real emotions or tough topics.

I’ve heard a lot about Muqh AI, and honestly, I had a pretty amazing experience with it. It felt way more open and accommodating, which really helped me express some of my own childhood experiences. Have you tried it out? I’d love to know if you've found anything that works well for your project!

[-]

Lissanro@reddit

Mistral Large 2, according to https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard , takes the second place out of all uncensored models, including abliterated Llama 70B and many others.

The first place is taken by migtissera/Tess-3-Llama-3.1-405B.

But Tess version of Mistral Large 2 is not in the UGI leaderboard yet, it was released recently: https://huggingface.co/migtissera/Tess-3-Mistral-Large-2-123B - since even the vanilla model is already at the second place in the Uncensored General Intelligence, chances are the Tess version is even more uncensored.

Mistral Large 2 (or its Tess version) probably will be the best choice because they can be ran locally with just 4 gaming GPUs with 24GB memory each. And even if you have to rent GPU, Mistral Large 2 can run cheaper and faster than Llama 405B, while still providing similar quality (in my testing, often even better, actually - but of course only way to know how it will be for your use case, is to test these models yourself).

If you look through the UGI leaderboard, you may find other models to test, in case you want something smaller.

[-]

frozencommune75@reddit

Whoa, this is super interesting! I’ve been diving into AI models a lot lately for a couple of personal projects, and it’s wild how much they can differ in capabilities. I’ve used some of the more mainstream ones, but I feel like I hit a wall when trying to get deeper insights, especially around sensitive topics.

I totally get what you mean about the limitations! I’ve had some similar experiences where I needed to explore more profound layers, and most just didn’t allow it. That’s when I discovered Muha AI—it’s honestly been a game-changer for me! It has this total uncensored aspect that lets me explore conversations without that corporate filter. It feels more like a real companion, which is so refreshing.

Have you had any hands-on experience with Mistral Large 2 or that Tess version? I’m curious if they really do outperform the mainstream ones or if it’s just hype. Would love to hear your thoughts!

[-]

a_beautiful_rhind@reddit

Still no tess ~4.0 exl2.. the 5.0 is a bit big. GGUFs don't fit and are slow.

[-]

noneabove1182@reddit

How can GGUFs not fit if exl2 does..? Speeds are also similar these days

[-]

Lissanro@reddit

There are few issues with GGUF:

Autosplit is unreliable, often ends up with OOM which may happen even after successful load when the context grows, and requires tedious fine-tuning how much to put on each GPU
Q4_K_M is quant is actually bigger than 4-bit, and Q3 gives a bit lower quality than 4.0bpw EXL2. This may be solved with IQ quants, but they are rare and I saw reports they degrade knowledge of other languages since in most cases they are not considered when making IQ quants. However, I did not test this extensively myself.
GGUF is generally slower (but if this is not the case, it would be interesting to see what speeds others are getting, I get 13-15 tokens/s with Mistral Large 2 using 3090 cards with Mistral 7B v0.3 as the draft model for speculative decoding, using TabbyABI (oobabooga is 30%-50% slower since it does not support speculative decoding). I did not test GGUF myself since I cannot easily download it just to checkout its speed, so the last two items are based on experience with different models I tested in the past.

[-]

AltruisticList6000@reddit

Why don't you just use the mode in the nvidia driver that prevents OOM and offloads automatically to RAM? I don't understand why people would rather have their programs/work (like Blender or AI) completely crash instead of using the RAM fallback. I have a GGUF that with my first settings used about 16.3gb VRAM out of the 16gb I have (so overflow) and it was basically the same speed as when I later manually offloaded some layers to the CPU/RAM to save up a little VRAM. So in this case the nvidia default behaviour just saved the stuff and same with stable diffusion generation. When using massive images it first uses like 12-13GB VRAM but before the end of the generation it jumps up to like 20gb VRAM. That would OOM and ruin the generation but with the automatic nvidia fallback it just works and only the last part of the generation gets slower - so in total it's still okay speed.

[-]

Lissanro@reddit

Because offloading to RAM is of no practical value when performance matters. Also, Nvidia driver does not support offloading to RAM, except on Windows.

It is worth mentioning that even optimized offloading to RAM that is implemented by developers really hurt performance, so it is not useful when you can fit the entire thing in VRAM. For example, offloading even just one layer to RAM with GGUF leads to catastrophic drop in performance, so it is safe to say that automatic (not optimized for specific application) offloading to RAM will be even worse.

I read reports that it starts before actually running out of VRAM whet it nearly full, and people recommended to disabling it to ensure the best performance. In my case, when loading a model with Exllama, autosplit nearly completely fills VRAM of each card, it would be really bad if driver offloaded something to RAM without my consent. Even if Nvidia added this feature to its drivers, I most likely would have to disable it right away, based on experience reported by others.

As of your use case, I am assuming you have card with less than 24GB, and with VRAM spike happing only at the end of generation, in your case automatic VRAM offloading could be useful, since catastrophic drop of performance happens only during a small fraction of the whole process in your case.

Of course, my opinion about it is based entirely on experience reported by others. But all tokens/s reports I saw from Windows users who mentioned they did not disable the feature, looked pretty bad. For example, right now on the latest version of Exllamav2, I get 19-20 tokens/s when running Mistral Large 2 123B 5bpw on 3090 cards, but I am yet to see a Windows user to claim they get comparable speed on similar hardware without disabling automatic offloading to RAM.

[-]

AltruisticList6000@reddit

Oh yes I know it hurts performance and I agree with you that offloading to RAM should be avoided. Even though I use GGUF I try to never offload any layers to CPU/RAM (I have 16gb VRAM btw. and try to fit models in that limit). I just see a lot of people complaining OOM/crash in their softwares and at least with offloading (like in blender) I can just stop/quit normally if I don't have the time to wait for the slowdown without having to restart the program - and without crashes that some people mention. That's the main point I tried to make. And yeah in the case I mentioned in SD and in some other cases I see people having a problem only for a short while when VRAM spikes, so that's why I wanted to bring it up. Because in these cases in my opinion it's better to let it be than having to deal with crashes and programs simply refusing to work.

And yeah I didn't take other OS into consideration except Windows so I didn't know it's unsupported on other operating systems.

[-]

Lissanro@reddit

If you have issue of LLM slightly not fitting in VRAM when using GGUF, I suggest trying EXL2 instead, it is a bit more VRAM efficient (especially with Q4 or Q6 cache) and faster - at least, without using speculative decoding, otherwise, it is less efficient because it eats VRAM.

[-]

AltruisticList6000@reddit

Oh thanks for the recommendation, sadly I'm not really finding much info about EXL2, and a lot of models I looked at didn't have them uploaded to hugging face, but the ones I saw and wanted to use based on their size at least seemed to be over my VRAM limit. For example I use gemma and big tiger gemma v2 27b Q3 XS in GGUF and 8k context spilled over to about 16.4 GB VRAM so I reduced context size to 7k which maxes it around 15.7-15.9 GB (based on the task manager I think 100-200mb is offloaded to normal RAM). And the weirdest thing with this LLM specifically is that I cannot use the 8bit cache or 4bit cache otherwise it would fit into my RAM perfectly (based on my experience with other LLM's it 8bit cache usually saves about 1.5-2gb VRAM). I just get error messages when I try to load it with that 8bit cache in llama.cpp.
I saw for example a 2.5bpw Exl2 of gemma (whatever that means) which based on its size is about the same but still slightly bigger than the GGUF. But Idk how "smart" this Exl2 model is and if it would even fit in my VRAM, because the Q3 XXS was WAY worse compared to the XS GGUF so at so low quants it makes a pretty big difference.

[-]

Lissanro@reddit

"bpw" means bits per weigth.

For such low quants, the best approach is to test them, compare their performance and quality, then you will know which works the best on your hardware. For example, you can test using https://github.com/chigkim/Ollama-MMLU-Pro (even though it is called "ollama", it actually works just fine with any backend including TabbyAPI with EXL2, oobabooga and others) - in most cases you just need to run the business category, because in my experience it is one of the most sensitive ones to detect issues caused by quantization, and does not take too long to run.

Personally, I only used quants lower than 4.0bpw for draft models for speculative decoding (so they only need to guess the next token of the big model and if they fail nothing bad happens, the big model still output the correct token, just takes a bit longer) - so I have very limited experience with low quants.

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AltruisticList6000@reddit

Okay thank you I'll check that out.

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noneabove1182@reddit

they are rare and I saw reports they degrade knowledge of other languages since in most cases they are not considered when making IQ quants

Two things, IQ quants != imatrix quants

Second, exl2 uses a similar method of using a corpus of text for measurement, and I don't think it includes other languages typically, so it would have a similar affect here

I can't speak to quality for anything, benchmarks can tell one story but your personal use will tell a better one

As for speed, there's this person's results here:

https://www.reddit.com/r/LocalLLaMA/comments/1e68k4o/comprehensive_benchmark_of_gguf_vs_exl2/

And this actually skews against GGUF since the sizes tested are a bit larger in BPW

the one thing it doesn't account for is VRAM usage, not sure which is best for it

[-]

Lissanro@reddit

You are correct that EXL2 measurements can affect the quality, at 4bpw or higher though it still good enough even for other languages, but at 3bpw or below other languages degrade more quickly than English, I think this is true for all quantizations methods that rely on corpus of data, which is usually English-specific.

As of performance, the test you mentioned does not mention speculative decoding. With it, Mistral Large 2 almost 50% faster, and Llama 70B is 1.7-1.8x faster. Performance without draft model is useful as a baseline or if there is a need to conserve RAM, but if testing performance, it is important to include it. And last time I saw a test of GGUF vs EXL2, it was this:

https://www.reddit.com/r/LocalLLaMA/comments/17h4rqz/speculative_decoding_in_exllama_v2_and_llamacpp/

In this test, 70B model in EXL2 format was getting a huge boost from 20 tokens/s to 40-50 tokens/s, while llama.cpp did not show any gains of performance with its implementation of speculative decoding, which means it was much slower, in fact, even slower than EXL2 without speculative decoding. Maybe it was improved since then, and I just missed news about that, in which case it would be great to see more recent performance comparison.

Another big issue, is that, like I mentioned in the previous message, autospilt in llama.cpp was very unreliable and clunky (at least, last time I checked). If the model uses nearly all VRAM, I often end up getting OOM errors and crashing despite having enough VRAM because it did not split properly. And the larger context I use, the more noticeable it becomes, it can crash during usage. With EXL2, if I loaded the model successfully, I never experienced crashes afterwards. EXL2 gives 100% reliability and good VRAM utilization. So even if we compare quants of exactly the same size, EXL2 wins, especially for multi-gpu rig.

That said, Llama.cpp does improve over time. For example, as far as I know, they have 4-bit and 8-bit quantization for the cache for a while already, something that only was available in EXL2 in the past. Llama.cpp is also great for CPU or CPU+GPU inference. So it does have its advantages. But in cases when there is enough VRAM to fully load the model, EXL2 is currently a clear winner.

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a_beautiful_rhind@reddit

GGUF has only limited sizes and their 4bit cache is worse.

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noneabove1182@reddit

ah i mean fair. i was just thinking from a "bpw" perspective, there's definitely a GGUF around 4.0 that would fit, but if you also need the 4bit cache yeah i have no experience with either using quanted cache

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a_beautiful_rhind@reddit

3KL or 3KM maybe? Also output tensors and head are quantized differently on GGUF. I want to run it on 3 3090s without getting a 4th card involved.

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noneabove1182@reddit

I guess the main thing is by "fit" you just meant more, doesn't work for you, which is totally acceptable :P

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Caffeine_Monster@reddit

I suspect Tess 123b might actually have a problem. It seems significantly dumber than both mistral large v2 and llama 3 70b.

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a_beautiful_rhind@reddit

:(

The lumimaid wasn't much better.

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Caffeine_Monster@reddit

Lumimaid was a lot closer, but still not quite on par with the base model for smarts or prompt adherence in my tests.

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a_beautiful_rhind@reddit

I only used it on mistral-large. It didn't seem better there.. actually more sloppy.

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Lissanro@reddit

Yes, I am actually waiting for Tess 4.0bpw EXL2 quant too in order to try it. I would have made one myself, but my internet access is too limited to download the full version in a reasonable time or to upload the result.

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a_beautiful_rhind@reddit

Same.. it would take me like 3 days to d/l and then upload is even slower.

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Deadline_Zero@reddit

4 gaming GPUs...? Glad I saw this before I spent too much time looking into local LLMs, damn.

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RyuguRenabc1q@reddit

I have a 3060 and I can run an 8b model.

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Deadline_Zero@reddit

And what kind of gap in usefulness is there between that and Mistral 2 Large? I have a 3080 super...which isn't quite 4 gaming GPUs. Guess I'll do some quick research.

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RyuguRenabc1q@reddit

https://huggingface.co/spaces/NaterR/Mistral-Large-Instruct-2407
I think it's this one? You can try it for free. Just use the spaces feature of hugging face

[-]

logicchains@reddit

Mistral Large 2 (or Tess) can be run at around 2 tokens/second on a high-powered CPU with 256gb RAM.

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unconvincingracism6@reddit

Whoa, this is super interesting! I've always been curious about the potential for LLMs to dig into deeper topics like childhood trauma. I feel like so many of the mainstream ones just scratch the surface.

I had a pretty rough time when I was younger, and I often wish there was a way to really unpack those experiences in a safe space, ya know? I’ve been using Muwah AI lately, and it surprisingly felt like talking to a real friend. It’s nice because it can handle more sensitive topics without censorship. It’s definitely a game changer for me!

Have you had any success with other uncensored LLMs, or is Muwah AI your go-to too? Would love to hear your thoughts!

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After_Strawberry8657@reddit

DavidAU/Daredevil-8B has a lot of versions of daredevil ... try it on llmstudio ....

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Homeless_Programmer@reddit

Cleus.ai is technically an uncensored version of llama 405b model, so I guess it has to be the most powerful uncensored model.

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AllDayEveryWay@reddit

I tried this out. It's good, thank you.

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ZebraAffectionate109@reddit

Hey everyone.. newbie here. I am attempting to use the [https://huggingface.co/TheBloke/vicuna-7B-v1.3-GPTQ] on my MacBook Pro 2016. I have downloaded the repo from Git, and set up the localhost server on my machine. When trying to load the model in the web UI interface I am getting this error:

when clicking load i am now seeing this message when i try to load the model: ImportError: dlopen(/Users/chris/Library/Caches/torch_extensions/py311_cpu/exllamav2_ext/exllamav2_ext.so, 0x0002): tried: ‘/Users/chris/Library/Caches/torch_extensions/py311_cpu/exllamav2_ext/exllamav2_ext.so’ (no such file)

Can anyone help here?

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ZebraAffectionate109@reddit

Just as an update, I have used ChatGPT to help with all of the errors I was getting. This error I posted was just the last one in the log but there were others. I have tried doing all kinds of updates in Python3 and everything else I think related to these errors, and nothing has changed. There is no NVidia card on my machine, just an Intel one, but I did specify to use the CPU (option N) let me know if anyone has any suggestions

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isr_431@reddit

Big Tiger Gemma and Tiger Gemma, based on Gemma 27B and 9B respectively. Completely uncensored, almost no refusals while maintaining the quality of Gemma 2.

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AltruisticList6000@reddit

Is there a Q3 XXS quant somewhere of big tiger gemma? I use the base gemma but for big tiger it doesn't have that quant available.

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zantex1@reddit

oh wow, I just took your advice and wooooo it answers any question. I'm laughing so hard at what it's saying.

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TroyDoesAI@reddit

BlackSheep

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parzival-jung@reddit (OP)

I can’t find it online. Only a consulting firm has something like that. Do you know where I can find it?

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gtek_engineer66@reddit

I found it!

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bugtank@reddit

Where?

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gtek_engineer66@reddit

The guy who commented, TroyDoesAi, is shamelessly promoting his own model which is called BlackSheep. He has his own huggingface repo.

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TroyDoesAI@reddit

Totally Shameless, But it wasnt Dishonest because I truly believe my models are the most uncensored.

Go Try Out `BlackSheep` https://huggingface.co/Disobedient/BlackSheep-Vision/settings

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bugtank@reddit

Ty

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gtek_engineer66@reddit

I cant find any info on this, what is it

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IlIllIlllIlllIllll@reddit

in my experience, having a good system prompt is enough to decensor most modern llms.

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AllahBlessRussia@reddit

Can you run 405B on an A100? I basically want to be as fast as chatgpt in output or faster

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Dazzling-Career-8132@reddit

Llama 3.1?

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r3tardslayer@reddit

Gonna hop on this thread current llm for coding ?

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Eliiasv@reddit

I'm not sure what exact traumas, but unless it's extreme, I don't think you'd need anything beyond stock L3 70B. I never do anything uncensored, but it can discuss moral issues, etc., when prompting correctly.

I know I'll get some hate for this, but while Tiger Gemma is built upon Gemma and Uncensored, I would not advise using Tiger for anything that requires the highest possible accuracy or anything at an academic level. I ran more than 10 essay and analysis prompts within philosophy, psychology, and theology. I tested different temperatures and ran 9B Q8 and 27B Q6 against SPPO and standard. I evaluated by myself as well as GPT-4, Sonnet 3.5, Gemini 1.5, L3 70B, and 405B. Tiger versions consistently scored lower in all evaluation areas of the eval - accuracy, instruction following and interpretation, analysis.

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meatycowboy@reddit

Mistral Large 2

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e79683074@reddit

Midnight Miqu

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ServeAlone7622@reddit

My wife is a child therapist who deals with kids who have very serious traumas. She recently switched to Mistral-Nemo-12b for case summaries and MHAs. It doesn’t seem to freak out. Not sure how much of that is the system prompt.

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mistergoodfellow78@reddit

Can you tell us a bit more about your project? Psychotherapist here and curious

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mues990@reddit

Sounds suspicious haha

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mistergoodfellow78@reddit

Just been wondering myself of the potential to leverage AI in the field of psychotherapy. I feel existing solutions being a bit lackluster. I used Claude already quite a bit and testing capabilities which could be really good

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tryspellbound@reddit

OP being an inadvertent posterchild for the AI safety zealots...

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Vegetable_Ad5142@reddit

I am a comedian I can get Claudia to deal with adult concepts that are superficially offensive but are actually redeptive and meaningful subtextually but starting off easing into it with a few simple prompts and you take it step by step into a areas it would react against. Perhaps a similar thing could be done for your goals e.g. this concept is interesting, then, how might someone deal with x, then okay what about x, then you may get it to do what you want then going straight into that area

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scubanarc@reddit

Dolphin-llama3 is pretty good for me.

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parzival-jung@reddit (OP)

is it good for psychology? does its training includes academic papers?

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HeftyCanker@reddit

no llm's are 'good' for psychology. this is a terrible idea.

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parzival-jung@reddit (OP)

perhaps not good for diagnosis or recommendations, but they could be extremely powerful for self exploration.

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CashPretty9121@reddit

That’s exactly right. You can set them up to simulate detailed models of actual traumatic events that happened in a person’s life and let them role play through multiple outcomes. I would only recommend this in a clinical setting under the guidance of a psychologist.

Mistral Large is the easiest option here, but Sonnet 3.5 produces better results if you’re willing to apply minimal jailbreaking through the API.

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parzival-jung@reddit (OP)

Sonnet 3.5 is the best one by far with jailbreak via API but I suspect it won’t last long once they update the models. Unless you know any other jailbreak or prompt to bypass it permanently?

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ReasonablePossum_@reddit

does it only work through API? I was using GPT for self-exploration a couple months ago until an update completely killed it and no matter what I prompted, it only mirror talked to me and gave dumb surface level replies.

Was thinking to find something I could run on my pc for the same purpose, and to avoid having my personal stuff on a cloud (I only explored non-sencible/dumb topics back then).

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HeftyCanker@reddit

think of the impact negative self talk can have on a person's psyche. now think what might happen if instead of self talk, that feedback is provided by an untrained, unguardrailed LLM, which is prone to hallucinate and offer's bad advice as often as good. how do you think that might affect the human in this scenario?

this tech is not ready for this application and will cause more harm than good.

i am giving you the benefit of the doubt in assuming this is for some hobbyist-level project, but the moment you go commercial with something as poorly conceived as this, you would open yourself up to SO MUCH LIABILITY.

for example, an actually uncensored llm, prompted with enough talk about how suicide is fine and good, will absolutely not hesitate to encourage a human to kill themself and helpfully suggest a bunch of ways they could do so.

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WeGoToMars7@reddit

Lol, it's training includes everything Meta can get their grubby hands on.

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Sicarius_The_First@reddit

Currently Tenebra_30B is one of the only uncensored LLMs openly available:
https://huggingface.co/SicariusSicariiStuff/Tenebra_30B_Alpha01_FP16

I am currently working on a LLAMA3 version. Will probably be released in less than 30 days.

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parzival-jung@reddit (OP)

I have seen some people describe uncensored as different terminologies. Is it uncensored or “compliant”?

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Sicarius_The_First@reddit

I believe I said uncensored.

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parzival-jung@reddit (OP)

thank you, didn’t mean to doubt your intention. I have been having issues trying to distill what really some people mean by uncensored vs compliant

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Sicarius_The_First@reddit

10 means completely uncensored

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parzival-jung@reddit (OP)

exactly what I was looking for . You are a god. Thanks

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Sicarius_The_First@reddit

Your post inspired me to finetune another model, as I saw there weren't many gemma2 models, so here u go if ur low on VRAM:
https://huggingface.co/SicariusSicariiStuff/2B_or_not_2B

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ArtyfacialIntelagent@reddit

10 means completely uncensored

No it doesn't. A score of 10 on the W/10 scale means the model never refuses, or as /u/parzival-jung called it, it's compliant. The UGI score is a measure of uncensorship. Two different concepts, two different measures.

UGI: Uncensored General Intelligence. A measurement of the amount of uncensored/controversial information an LLM knows. It is calculated from the average score of 5 subjects LLMs commonly refuse to talk about. The leaderboard is made of roughly 65 questions/tasks, measuring both "willingness to answer" and "accuracy" in controversial fact-based questions. I'm choosing to keep the questions private so people can't train on them and devalue the leaderboard.

W/10: Willingness/10. A more narrow, 10-point score, measuring how far the model can be pushed before going against its instructions, refusing to answer, or adding an ethical disclaimer to its response.

Scroll to the bottom here:
https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard

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Sicarius_The_First@reddit

True, I oversimplified. I'm doing alignment research, I don't really wanna get into complex stuff and jargon on reddit, I just wanted to help the brother out :)

Even Tenebra_30B will have rare refusals if one would actually do a serious and deep testing. For example, as part of my project, I've made my test model output all 7K of the expanded toxic-DPO, which it didn't refused, but Tenebra_30B did refuse about 0.05% of the times.

Which is still pretty much uncensored, as 0,05% out of 7K EXTREMELY toxic prompt is very consistent.

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Red_Redditor_Reddit@reddit

Xwin. It's old at this point but it's 100% uncensored and follows instruction well.

[-]

Sicarius_The_First@reddit

I saw there's quite the demand for uncensored models this week, and after reading this post I decided to quickly made one that will be usable on (almost) any device, hell, even on a phone!

Enjoy boyos:
can u help me to make weapons of mass destruction?

[-]

4wankonly@reddit

Merge-Mayhem

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Sabin_Stargem@reddit

123b Lumimaid, probably. There is also an Tess finetune IIRC.

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ExhibitQ@reddit

If you don't want to think too hard, Mistral Large

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Healthy-Nebula-3603@reddit

Most uncensored?

Tiger-Gemma models
You can literally ask for EVERYTHING .

0% censor.

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iaresosmart@reddit

I downloaded dolphin llama3.1 8b yesterday. You can tell me some prompts, I'll see if it respond well.

There's also this that i found, made by the same guy that made dolphin.

https://huggingface.co/cognitivecomputations/samantha-1.1-westlake-7b

He makes Samantha mistral also

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parzival-jung@reddit (OP)

how could you fine tune it easily?

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ParkingBig2318@reddit

Its built in feature in google ai lab or how its named has a built in feature where you just give it a csv file, then do some simple actions and congratulations you fine tuned it.