FYI, Tiefighter is massively outdated. You can get smaller models that blow it out of the water. Try Stheno, or any NeMo finetune, or even vanilla NeMo. You’ll be amazed by how much more your machine can do.
The Llama 2 architecture is ancient by now. They don’t use modern techniques like GQA, their tokenizer is crap, and pretraining was a fraction of its successors. The better finetunes like Tiefighter squeezed all they could out of that stone, but ultimately they all hit its inherent limitations.
If you have 12 GB of VRAM, I recommend you run the new Mistral Small at IQ3_M quant. It’s close to GPT-4 in quality, and so far ahead of Llama 2 it’s hard to describe.
Most modern LLMs are better than llama2. It was nice for the time being one of few open source models and all but these times these old models are pretty bad. Heck, even original GPT3 (as in very first models available in chat gpt site) is pretty pathetic compared to today's small models.
It is outdated but it's still kicking hard. Probably the most playful model I've ever tried and it's also a joy to come back to it from time to time. I haven't tried LR variant as on the picture but original tiefighter is still amazing, even comparing to Rocinante, Niitama or Stheno.
I specifically like it's ability to pick up the conversation without any prompt. Just drop to it something cheesy and it will instantly align with it, or call it "baby" and it will play the partner role right away, never saw anything like that elsewhere.
But you're right it's old by now.
Reminds me of the time I accidentally set Alexa off on a long philosophical rant. I had to check the phone app to find out it thought I asked it, "What is?"
LLMs can sometimes hallucinate,meaning they generate outputs that are not based on the input or the training data but are instead random or nonsensical.
The LLM’s response is likely due to a combination of statistical associations in its training data, its design (e.g sensitivity to emotions), and the inherent limitations of how these models learn. It’s a good example of how LLMs can sometimes produce outputs that seem intellignt but are actually based on superficial patterns and lack true understandng
The other problem with this model is that it misses the stop tokens sometimes and just hallucinates more & more. Like your grandpa saying, 'did you say something?' and just blathering on.
hell yeah!
I still keep old rusty TieFighter-Holodeck-Holomax-Mythomax from our bro /u/DavidAU. the day comes and you feel bit unhinged and you know which of them to launch 😅
And TieFighter was quite good with following lengthy instructions with dozens of "Then do this" steps. Until I discovered Mixtral 7x8B which was even better.
It's not about what you wrote but about the way you wrote it. It was a hi as if it came from an empty void. A shell of the happiness you once embodied.
I get these responses, too, when I use "Hi" as a test prompt. I think it's a side effect of being trained on LLM chat data. That's the only thing that makes sense to me.
> There was no system prompt.
exactly. no system prompt is a clear display of apathy, apathy towards your future, your relationships, your physical health, your financial situation.
The LLM knows what it's doing.
PS. Hi.
Don't you know Meta Llama can read your thoughts? You can't hide from Zack
https://preview.redd.it/76xfmm8gx7je1.jpeg?width=575&format=pjpg&auto=webp&s=783920e65d8e43731f4f54e26bd2627b9ebda605
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