Carlos
carlos202602
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reacted to Banaxi-Tech's post with 🔥 2 days ago
We're excited to release BananaMind 2 Medium and BananaMind 2 Medium Chat!
They’re both 50M parameter models trained on 50B tokens from FineWeb-Edu, DCLM, Cosmopedia v2, FineMath-4+ and NPSet-2 Python-Edu.
The base model reached 61.86% on PIQA, 43.81% on ARC Easy and 32.43% on HellaSwag. The Chat version was fine-tuned on Smol-SmolTalk and scored 38% overall on our internal instruction benchmark, with 56% on multi-turn, 60% on context recall and 80% on code.
The full details are in the model repos.
Check it out at
https://huggingface.co/BananaMind/BananaMind-2-Medium
https://huggingface.co/BananaMind/BananaMind-2-Medium-Chat reacted to Banaxi-Tech's post with 👍 2 days ago
We're excited to release BananaMind 2 Medium and BananaMind 2 Medium Chat!
They’re both 50M parameter models trained on 50B tokens from FineWeb-Edu, DCLM, Cosmopedia v2, FineMath-4+ and NPSet-2 Python-Edu.
The base model reached 61.86% on PIQA, 43.81% on ARC Easy and 32.43% on HellaSwag. The Chat version was fine-tuned on Smol-SmolTalk and scored 38% overall on our internal instruction benchmark, with 56% on multi-turn, 60% on context recall and 80% on code.
The full details are in the model repos.
Check it out at
https://huggingface.co/BananaMind/BananaMind-2-Medium
https://huggingface.co/BananaMind/BananaMind-2-Medium-Chat reacted to danielhanchen's post with ❤️ 4 days ago
Introducing Unsloth for AMD 🚀
You can now train & run LLMs on your AMD hardware
• We collaborated with AMD to enable you to train & run 500+ models on AMD GPUs
• Works on Windows, WSL, Linux
• Train Qwen, Gemma on just 3GB VRAM
GitHub: https://github.com/unslothai/unsloth
Blog + Guide: https://unsloth.ai/docs/basics/amdOrganizations
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