AI & ML interests

Unofficial org for community upload of Mistral's Open Source models.

Recent Activity

danielhanchenΒ 
posted an update 5 days ago
danielhanchenΒ 
posted an update 13 days ago
danielhanchenΒ 
posted an update 18 days ago
danielhanchenΒ 
posted an update 21 days ago
danielhanchenΒ 
posted an update 25 days ago
mrfakenameΒ 
posted an update about 1 month ago
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5266
Excited to share that I've joined the Hugging Face Fellows program! πŸ€—

Looking forward to contributing to & working more closely with the open-source ecosystem - huge thanks to everyone who's supported me on this journey! πŸš€
danielhanchenΒ 
posted an update about 1 month ago
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3703
Mistral's new Ministral 3 models can now be Run & Fine-tuned locally! (16GB RAM)
Ministral 3 have vision support and the best-in-class performance for their sizes.
14B Instruct GGUF: unsloth/Ministral-3-14B-Instruct-2512-GGUF
14B Reasoning GGUF: unsloth/Ministral-3-14B-Reasoning-2512-GGUF

🐱 Step-by-step Guide: https://docs.unsloth.ai/new/ministral-3
All GGUFs, BnB, FP8 etc. variants uploads: https://huggingface.co/collections/unsloth/ministral-3
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danielhanchenΒ 
posted an update about 1 month ago
danielhanchenΒ 
posted an update about 2 months ago
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4385
You can now run Kimi K2 Thinking locally with our Dynamic 1-bit GGUFs: unsloth/Kimi-K2-Thinking-GGUF

We shrank the 1T model to 245GB (-62%) & retained ~85% of accuracy on Aider Polyglot. Run on >247GB RAM for fast inference.

We also collaborated with the Moonshot AI Kimi team on a system prompt fix! πŸ₯°

Guide + fix details: https://docs.unsloth.ai/models/kimi-k2-thinking-how-to-run-locally
mrfakenameΒ 
posted an update 2 months ago
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6115
Trained a model for emotion-controllable TTS based on MiMo audio on LAION's dataset.

Still very early and does have an issue with hallucinating but results seem pretty good so far, given that it is very early into the training run.

Will probably kick off a new run later with some settings tweaked.

Put up a demo here: https://huggingface.co/spaces/mrfakename/EmoAct-MiMo

(Turn πŸ”Š on to hear audio samples)
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danielhanchenΒ 
posted an update 5 months ago
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Run DeepSeek-V3.1 locally on 170GB RAM with Dynamic 1-bit GGUFs!πŸ‹
GGUFs: unsloth/DeepSeek-V3.1-GGUF

The 715GB model gets reduced to 170GB (-80% size) by smartly quantizing layers.

The 1-bit GGUF passes all our code tests & we fixed the chat template for llama.cpp supported backends.

Guide: https://docs.unsloth.ai/basics/deepseek-v3.1
clemΒ 
posted an update 5 months ago
danielhanchenΒ 
posted an update 5 months ago
danielhanchenΒ 
posted an update 6 months ago