Emin Temiz's picture

Emin Temiz PRO

etemiz

·

https://pickabrain.ai

AI & ML interests

Alignment

Recent Activity

replied to clem's post 3 days ago

What are you using to evaluate models or AI systems? So far we're building lighteval & leaderboards on the hub but still feels early & a lot more to build. What would be useful to you?

replied to their post 8 days ago

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

posted an update 8 days ago

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

View all activity

Organizations

None yet

etemiz's activity

upvoted an article about 1 month ago

Article

Welcome Llama 4 Maverick & Scout on Hugging Face!

Apr 5

• 142

upvoted an article 8 months ago

Article

Fine-tuning LLMs to 1.58bit: extreme quantization made easy

Sep 18, 2024

• 242