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Gemma3 – The current strongest model that fits on a single GPU

ollama.com

1–10 of 148 posts

Re: Gemma3 – The current strongest model that fits on a single GPU

#2
These bar charts are getting more disingenuous every day. This one makes it seem like Gemma3 ranks as nr. 2 on the arena just behind the full DeepSeek R1. But they just cut out everything that ranks higher. In reality, R1 currently ranks as nr. 6 in terms of Elo. It's still impressive for such a small model to compete with much bigger models, but at this point you can't trust any publication by anyone who has any skin in model development.

Re: Gemma3 – The current strongest model that fits on a single GPU

#3
Not sure if anyone else experiences this, but ollama downloads starts off strong but the last few MBs take forever.

Finally just finished downloading (gemma3:27b). Requires the latest version of Ollama to use, but now working, getting about 21 tok/s on my local 2x A4000.

From my few test prompts looks like a quality model, going to run more tests to compare against mistral-small:24b to see if it's going to become my new local model.

Re: Gemma3 – The current strongest model that fits on a single GPU

#4

These bar charts are getting more disingenuous every day. This one makes it seem like Gemma3 ranks as nr. 2 on the arena just behind the full DeepSeek R1. But they just cut out everything that ranks higher. In reality, R1 currently ranks as nr. 6 in terms of Elo. It's still impressive for such a small model to compete with much bigger models, but at this point you can't trust any publication by anyone who has any ski…

open llm leaderboard [0] is probably good to compare open weights model on many different benchmarks - wish they put also some closed source one just to see what's relative ranking of best open weights to closed source one. They haven't updated yet for gemma 3 though

[0] https://huggingface.co/spaces/open-llm-leaderboard/open_llm_...

Re: Gemma3 – The current strongest model that fits on a single GPU

#6
I have tried a lot of local models. I have 656GB of them on my computer so I have experience with a diverse array of LLMs. Gemma has been nothing to write home about and has been disappointing every single time I have used it.

Models that are worth writing home about are;

EXAONE-3.5-7.8B-Instruct - It was excellent at taking podcast transcriptions and generating show notes and summaries.

Rocinante-12B-v2i - Fun for stories and D&D

Qwen2.5-Coder-14B-Instruct - Good for simple coding tasks

OpenThinker-7B - Good and fast reasoning

The Deepseek destills - Able to handle more complex task while still being fast

DeepHermes-3-Llama-3-8B - A really good vLLM

Medical-Llama3-v2 - Very interesting but be careful

Plus more but not Gemma.

Re: Gemma3 – The current strongest model that fits on a single GPU

#7

These bar charts are getting more disingenuous every day. This one makes it seem like Gemma3 ranks as nr. 2 on the arena just behind the full DeepSeek R1. But they just cut out everything that ranks higher. In reality, R1 currently ranks as nr. 6 in terms of Elo. It's still impressive for such a small model to compete with much bigger models, but at this point you can't trust any publication by anyone who has any ski…

The chart isn't claiming to be an overview of the best ranking models - it's an evaluation of this particular model, which wouldn't be helped at all by having loads more unrelated models in the chart, even if that would have helped you avoid misunderstanding the point of the chart.

Re: Gemma3 – The current strongest model that fits on a single GPU

#8
post #7

These bar charts are getting more disingenuous every day. This one makes it seem like Gemma3 ranks as nr. 2 on the arena just behind the full DeepSeek R1. But they just cut out everything that ranks higher. In reality, R1 currently ranks as nr. 6 in terms of Elo. It's still impressive for such a small model to compete with much bigger models, but at this point you can't trust any publication by anyone who has any ski…

The chart isn't claiming to be an overview of the best ranking models - it's an evaluation of this particular model, which wouldn't be helped at all by having loads more unrelated models in the chart, even if that would have helped you avoid misunderstanding the point of the chart.

How are better ranking models unrelated? They are explicitly comparing open and closed, small and large foundation models. Leaving the best ones out is just plain disingenuous. There's no way to sugarcoat this.

Re: Gemma3 – The current strongest model that fits on a single GPU

#9
post #4

These bar charts are getting more disingenuous every day. This one makes it seem like Gemma3 ranks as nr. 2 on the arena just behind the full DeepSeek R1. But they just cut out everything that ranks higher. In reality, R1 currently ranks as nr. 6 in terms of Elo. It's still impressive for such a small model to compete with much bigger models, but at this point you can't trust any publication by anyone who has any ski…

open llm leaderboard [0] is probably good to compare open weights model on many different benchmarks - wish they put also some closed source one just to see what's relative ranking of best open weights to closed source one. They haven't updated yet for gemma 3 though [0] https://huggingface.co/spaces/open-llm-leaderboard/open_llm_...

Beware that they use very narrow metrics. Which is also why you only see fine-tunes over there gaming narrow aspects. If your edge case fits into one of those - great. If not and you just want a good general purpose model you'll have to look elsewhere.

Re: Gemma3 – The current strongest model that fits on a single GPU

#10
post #3

Not sure if anyone else experiences this, but ollama downloads starts off strong but the last few MBs take forever. Finally just finished downloading (gemma3:27b). Requires the latest version of Ollama to use, but now working, getting about 21 tok/s on my local 2x A4000. From my few test prompts looks like a quality model, going to run more tests to compare against mistral-small:24b to see if it's going to become my…

It might not be downloading but converting the model. Or if it's already downloading a properly formatted model file, deduping on disk which I hear it does. This also makes its model files on disk useless for other frontends.
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