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1186
Join fast we will soon published tokens and all join and get started because we will soon off join request button if you want you can join fast guys
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PhysiQuanty
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Theoretical Physics, Meta Deep Learning
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reactedto Shrijanagain's post with 🔥🚀 about 12 hours ago
Join fast we will soon published tokens and all join and get started because we will soon off join request button if you want you can join fast guys
reactedto alibidaran's post with 🚀🤗🔥 2 days ago
Post
3527
With the release of Gemma 4, I launched a new Space called MEDPAI — a medical imaging analysis tool that combines object detection with multimodal AI.
Here's how it works:
Upload a CT scan or X-ray
Computer vision models detect and annotate findings
Gemma 4 33B generates a report or answers your questions about the image
Currently available detectors: dental analysis and bone fracture detection.
More models are in the pipeline — follow the Space to stay updated!
alibidaran/MEDPAI
Here's how it works:
Upload a CT scan or X-ray
Computer vision models detect and annotate findings
Gemma 4 33B generates a report or answers your questions about the image
Currently available detectors: dental analysis and bone fracture detection.
More models are in the pipeline — follow the Space to stay updated!
alibidaran/MEDPAI
- 1 reply
reactedto danielhanchen's post with 🚀❤️🤗🔥 2 days ago
Post
3940
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
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
- 3 replies
reactedto danielhanchen's post with 🚀🔥 3 days ago
Post
3291
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
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
reactedto their post with 🔥🤗🚀 3 days ago
Post
3147
🇫🇷 French PATENT DataSet
🚀 800k patent (1981-2026)
INPI-France/FR-Patent-2020-2026-Raw
INPI-France/FR-Patent-2020-Claims
INPI-France/FR-Patent-2024-Chunked
INPI-France/Brevets-Francais-1981-2026-Raw
🔓 API/FTP INPI ACCESS
🔑 Access to the API/FTP INPI : https://data.inpi.fr/content/editorial/apis_pi
🚀 800k patent (1981-2026)
INPI-France/FR-Patent-2020-2026-Raw
INPI-France/FR-Patent-2020-Claims
INPI-France/FR-Patent-2024-Chunked
INPI-France/Brevets-Francais-1981-2026-Raw
🔓 API/FTP INPI ACCESS
🔑 Access to the API/FTP INPI : https://data.inpi.fr/content/editorial/apis_pi
posted an update 3 days ago
Post
3147
🇫🇷 French PATENT DataSet
🚀 800k patent (1981-2026)
INPI-France/FR-Patent-2020-2026-Raw
INPI-France/FR-Patent-2020-Claims
INPI-France/FR-Patent-2024-Chunked
INPI-France/Brevets-Francais-1981-2026-Raw
🔓 API/FTP INPI ACCESS
🔑 Access to the API/FTP INPI : https://data.inpi.fr/content/editorial/apis_pi
🚀 800k patent (1981-2026)
INPI-France/FR-Patent-2020-2026-Raw
INPI-France/FR-Patent-2020-Claims
INPI-France/FR-Patent-2024-Chunked
INPI-France/Brevets-Francais-1981-2026-Raw
🔓 API/FTP INPI ACCESS
🔑 Access to the API/FTP INPI : https://data.inpi.fr/content/editorial/apis_pi
reactedto evalstate's post with 🤗 3 days ago
Post
3679
Hugging Face MCP Server v0.3.2
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- Replace model_search and dataset_search with combined hub_repo_search tool.
- Less distracting description for hf_doc_search
- model_search and dataset_search tool calls will still function (plan to remove next release).
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- Replace model_search and dataset_search with combined hub_repo_search tool.
- Less distracting description for hf_doc_search
- model_search and dataset_search tool calls will still function (plan to remove next release).
- 4 replies
reactedto danielhanchen's post with 🔥 4 days ago
Post
2494
A new way to use Unsloth.
Coming soon...
Coming soon...
reactedto fffiloni's post with 🚀🤗 4 days ago
Post
2555
✅ Back up and running!
My TIGER app is now fully working again, with fixes and full compatibility with Gradio 6 🚀
It lets you:
- 🎙️ Separate multiple speakers from an audio file
- 🎬 Extract each speaker directly from a video
- 🎧 Split audio into dialog, music, and sound effects (DnR)
- 🎥 Apply DnR separation directly on videos
All powered by lightweight TIGER models for fast and efficient speech separation.
Try it here 👉 fffiloni/TIGER-audio-extraction
My TIGER app is now fully working again, with fixes and full compatibility with Gradio 6 🚀
It lets you:
- 🎙️ Separate multiple speakers from an audio file
- 🎬 Extract each speaker directly from a video
- 🎧 Split audio into dialog, music, and sound effects (DnR)
- 🎥 Apply DnR separation directly on videos
All powered by lightweight TIGER models for fast and efficient speech separation.
Try it here 👉 fffiloni/TIGER-audio-extraction
reactedto DedeProGames's post with 👍 5 days ago
Post
1736
Introducing GRM2, a powerful 3 billion parameter model designed for long-term reasoning and high performance in complex tasks.
Even with only 3 billion parameters, it outperforms qwen3-32b in several benchmarks and complex reasoning tasks.
With just 3 billion parameters, it can also generate extensive and complex code with over 1000 lines, utilize tools comparable to larger models, and is perfect for agentic tasks.
GRM2 is licensed under Apache 2.0, making it ideal as a base for FineTune in other tasks.
GRM2 Model Page: OrionLLM/GRM2-3b
Official GRM2 GGUFs Quantizations: OrionLLM/GRM2-3b-GGUF
Even with only 3 billion parameters, it outperforms qwen3-32b in several benchmarks and complex reasoning tasks.
With just 3 billion parameters, it can also generate extensive and complex code with over 1000 lines, utilize tools comparable to larger models, and is perfect for agentic tasks.
GRM2 is licensed under Apache 2.0, making it ideal as a base for FineTune in other tasks.
GRM2 Model Page: OrionLLM/GRM2-3b
Official GRM2 GGUFs Quantizations: OrionLLM/GRM2-3b-GGUF