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Qwen 3 numbers are in! They did a good job this time, compared to 2.5 and QwQ numbers are a lot better.
I used 2 GGUFs for this, one from LMStudio and one from Unsloth. Number of parameters: 235B A22B. The first one is Q4. Second one is Q8.
The LLMs that did the comparison are the same, Llama 3.1 70B and Gemma 3 27B.
So I took 2*2 = 4 measurements for each column and took average of measurements.
My leaderboard is pretty unrelated to others it seems. Valuable in that sense, it is another non-mainstream angle for model evaluation.
More info: https://huggingface.co/blog/etemiz/aha-leaderboard
I used 2 GGUFs for this, one from LMStudio and one from Unsloth. Number of parameters: 235B A22B. The first one is Q4. Second one is Q8.
The LLMs that did the comparison are the same, Llama 3.1 70B and Gemma 3 27B.
So I took 2*2 = 4 measurements for each column and took average of measurements.
My leaderboard is pretty unrelated to others it seems. Valuable in that sense, it is another non-mainstream angle for model evaluation.
More info: https://huggingface.co/blog/etemiz/aha-leaderboard