Building on HF

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Mohamed yasser PRO

yasserrmd

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liked a model 7 days ago

yasserrmd/lfm2.5-1.5b-sdft

updated a Space 7 days ago

yasserrmd/Deskflow

published a Space 8 days ago

yasserrmd/Deskflow

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liked a model 7 days ago

yasserrmd/lfm2.5-1.5b-sdft

Text Generation • 1B • Updated Feb 4 • 11 • 2

updated a Space 7 days ago

Deskflow

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Get AI help for your IT problems instantly

published a Space 8 days ago

Deskflow

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reactedto danielhanchen's post with 🔥 12 days ago

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3665

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

liked a Space 13 days ago

Medscribe

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Generate structured clinical notes from consultation transcripts

updated a Space 15 days ago

Medscribe

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Generate structured clinical notes from consultation transcripts

published a Space 15 days ago

Medscribe

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Generate structured clinical notes from consultation transcripts

updated a Space 21 days ago

Barq Web Rag Mesh

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Chat with your documents using local AI

published a Space 21 days ago

Barq Web Rag Mesh

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Chat with your documents using local AI

liked a Space 21 days ago

Barq Web Rag

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Chat with your uploaded documents instantly

updated a Space about 1 month ago

Barq Web Rag

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Chat with your uploaded documents instantly

published a Space about 1 month ago

Barq Web Rag

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Chat with your uploaded documents instantly

upvoted an article about 2 months ago

Article

Alyah ⭐️: Toward Robust Evaluation of Emirati Dialect Capabilities in Arabic LLMs

Jan 27

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updated a dataset about 2 months ago

yasserrmd/unsloth-jobs

Updated Feb 21 • 5

published a dataset about 2 months ago

yasserrmd/unsloth-jobs

Updated Feb 21 • 5

reactedto danielhanchen's post with 🔥 2 months ago

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5212

We collaborated with Hugging Face to enable you to train MoE models 12× faster with 35% less VRAM via our new Triton kernels (no accuracy loss). 🤗

Train gpt-oss locally on 12.8GB VRAM with our free notebooks: https://unsloth.ai/docs/new/faster-moe