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Mathieu Dugré

dugrema

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upvoted a collection 1 day ago

Qwen3.6

reacted to danielhanchen's post with 🤗 6 days ago

Unsloth is now one of the top 10 most followed organizations on Hugging Face. 🤗🦥 Thanks so much for all the support! Our HF page: https://huggingface.co/unsloth

upvoted a collection 6 days ago

Granite 4.1 Language Models

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upvoted a collection 1 day ago

Qwen3.6

Collection

15 items • Updated 1 day ago • 37

reacted to danielhanchen's post with 🤗 6 days ago

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10644

Unsloth is now one of the top 10 most followed organizations on Hugging Face. 🤗🦥

Thanks so much for all the support!
Our HF page:

unsloth

5 replies

upvoted a collection 6 days ago

Granite 4.1 Language Models

Collection

Efficient language models for multilingual generation, coding, RAG, and AI assistant workflows. • 6 items • Updated 7 days ago • 45

liked a model 13 days ago

Qwen/Qwen3.6-35B-A3B

Image-Text-to-Text • 36B • Updated 13 days ago • 3.03M • • 1.64k

liked 2 models 14 days ago

Qwen/Qwen3.6-27B

Image-Text-to-Text • 28B • Updated 13 days ago • 1.61M • 1.15k

unsloth/Qwen3.6-27B-GGUF

Image-Text-to-Text • 27B • Updated 14 days ago • 1.2M • 593

upvoted a collection 20 days ago

Qwen3.6

Collection

4 items • Updated 14 days ago • 313

New activity in unsloth/gemma-4-31B-it-GGUF 27 days ago

Do not use CUDA 13.2

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#12 opened 27 days ago by

danielhanchen

upvoted a collection about 1 month ago

Gemma 4

Collection

Gemma 4 is Google's new model family including including E2B, E4B, 26B-A4B, and 31B. • 28 items • Updated 14 days ago • 173

reacted to danielhanchen's post with 🔥 about 1 month ago

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Google releases Gemma 4. ✨
Gemma 4 introduces 4 models: E2B, E4B, 26B-A4B, 31B.
The multimodal reasoning models are under Apache 2.0.

Run E2B and E4B on ~6GB RAM, and on phones. Run 26B-A4B and 31B on ~18GB.

GGUFs: https://huggingface.co/collections/unsloth/gemma-4
Guide: https://unsloth.ai/docs/models/gemma-4