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alkinun

AtAndDev
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Ā·

AI & ML interests

LLMs, Alignment, Merging, Unsloth, DPO, SFT, ORPO, SPIN..

Recent Activity

updated a dataset 1 minute ago
OpenEndedLM/thinkr-1k
Reacted to m-ric's post with ā¤ļø about 9 hours ago
Made a new app to visualize the LLM race ā‡’ š—”š—¼ š—˜š˜‚š—暝—¼š—½š—²š—®š—» š—°š—¼š—ŗš—½š—®š—»š˜† š—¶š—» š˜š—µš—² š˜š—¼š—½ šŸ­šŸ¬ šŸ‡ŖšŸ‡ŗāŒ See the app here šŸ‘‰ https://huggingface.co/spaces/m-ric/llm-race-to-the-top I've adapted an app by @andrewrreed that tracks progress of LLMs (https://huggingface.co/spaces/andrewrreed/closed-vs-open-arena-elo), on the Chatbot Arena leaderboard, to compare companies from different countries. The outcome is quite sad, as a Frenchman and European. The top 10 is exclusively US šŸ‡ŗšŸ‡ø and Chinese šŸ‡ØšŸ‡³ companies (after great Chinese LLM releases recently, like the Qwen2.5 series), with the notable exception of Mistral AI šŸ‡«šŸ‡·. American companies are making fast progress, Chinese ones even faster. Europe is at risk of being left behind. And the EU AI Act hasn't even come into force yet to slow down the EU market. We need to wake up šŸ˜¬ āš ļø Caution: This Chatbot Arena ELO ranking is not the most accurate, especially at high scores like this, because LLM makers can game it to some extent.
Reacted to cappuch's post with šŸ˜Ž about 10 hours ago
p104-100s are beasts. 8 gigs of VRAM, 12 tok/s on qwen 14b at q4, and 18 tok/s on 7b at q6. best thing - 20 euros each. https://furry.engineer/@cappuch/113500349547803802
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