Qwopus 9B v3 , Omnicoder 9B , Qwen3.5 9B

Posted by BothYou243@reddit | LocalLLaMA | View on Reddit | 18 comments

Which of these should I use for agentic environment, openclaw or agent zero.....
which is better ?

I have 16GB unified memory (M4 chip)

or should I go fro Gemma 4 series (E4B)?, but I don't think it's better for tool use

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grumd@reddit

https://www.reddit.com/r/LocalLLaMA/comments/1s9mkm1/benchmarked_18_models_that_i_can_run_on_my_rtx/

I benchmarked all of them and Qwopus is the best

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grumd@reddit

Omg duuude, download Gemma 4 E4B. It's insanely good. It scored higher than Qwopus 9B.

E4B at Q8 quant is around the same level as 31B at Q4 or 26B at Q6 according to my benchmarks

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BothYou243@reddit (OP)

Bro, you're the first one on reddit who won my heart on reddit, thank you so much for your efforts

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grumd@reddit

Make sure to look out for Qwen 3.6 9B release - it's most likely gonna happen soon. I expect 3.6 9B to be the best model at that size

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BothYou243@reddit (OP)

Yeah I am waiting very eagerly, actually excited about it

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grumd@reddit

After 2 weeks I'd rather say 9B and 122B will most likely never release for 3.6

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BothYou243@reddit (OP)

Maybe around Google I/O? to steal spotlight, or something,

just giving myself reasons for hope 🥲

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BothYou243@reddit (OP)

Maybe around Google I/O? to steal spotlight, or something,

just giving myself reasons for hope 🥲

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Double_Ad_1062@reddit

ahora imagina con gemopus jajajaja... hmmm, voy probarlo jajaj

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grumd@reddit

Aww you're so nice! I'll download Gemma 4 E4B and benchmark it the same way for you

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redblood252@reddit

How does this one Jackrong/Qwopus3.6-27B-v1-preview improve on the qwen3.6-27B? I'm wondering if I can use the Q3_KL of qwopus instead of IQ3_XXS of unsloth qwen3.6-27B

I only have 16Gb of vram

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Code_Doctor_83@reddit

With an M4 chip and 16GB of Unified Memory, you’re firmly in the sweet spot for 9B-class models. Use Agent Zero with OmniCoder-9B (via Ollama or LM Studio).

Agent Zero’s terminal access and multi-step reasoning architecture pair decisively with OmniCoder’s training on agentic trajectories. On your hardware, this combo will feel substantially more autonomous than OpenClaw.

For 16GB setups, Agent Zero is the correct choice. You can run both a “Main Agent” and a “Sub-Agent” on the same 9B model without slamming into memory limits. By contrast, OpenClaw becomes memory-heavy on long-horizon tasks with 128k+ context.

Use Agent Zero for serious, complex coding projects where you need a “project manager” agent coordinating with a “coder” agent. Reserve OpenClaw for rapid automation and aggressive “web-operating” tasks.

Agent Zero is highly stable on local Ollama/LM Studio environments. OpenClaw is extremely fast, but it is also risky if you grant full terminal access without a proper sandbox.

Watch this comparison video of the two frameworks on real-world coding and terminal workloads to see the “OS-as-a-tool” model in practice.

https://youtu.be/GUha9cB18bw

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BothYou243@reddit (OP)

Thanks, i'll look forward

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CryptoChangeling69@reddit

Qwopus > any pus. fo realz.

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VEHICOULE@reddit

Qwopus is basically qwen with shorter thinking and better answer, plus it doesnt loop in thinking like qwen 9b, so ho for qwopus

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BothYou243@reddit (OP)

Won't omnicoder 475k agentic trajectories will help,
or still qwopus is better after all?

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cartazio@reddit

ive been really impressed by qwen 3.5 9b base. its super hinest about what it understands. zomg