Machine Learning Engineer - @HuggingFace / Paris 🇫🇷

Paris
Joined May 2012
Your local AI just got more Windows-native 🦙 Llama for Windows v0.13.0 is out! 🖼️ Share images & text to Llama ⚡ Speculative decoding support 💻 See which models likely fit your hardware 🔗 llama:// deep links Give it a spin 👇 github.com/ggml-org/Llama-Wi…
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Local AI has never been easier for Windows users. Open source. Truly local. Zero cloud. Llama for Windows runs llama.cpp models entirely on your hardware — download & manage models, chat from anywhere with Alt+Space Your prompts never leave your machine 🦙github.com/ggml-org/Llama-Wi…
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Qwen3 235B is now available on HuggingChat! And you know what? It's blazing fast✌️ 👉hf.co/chat/models/Qwen/Qwen3…
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Anyone looking to deploy LLMs in production,🤗got something for you👀 @huggingface TGI is expanding its capabilities to bring support for different inference backends (vLLM, TensorRT-LLM, llama.cpp, etc. etc.) 🏋️ 🗞️ More info in our last blogpost huggingface.co/blog/tgi-mult…
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TensorRT-LLM, from our partner @nvidia, is the first backend we will be shipping. We are currently wrapping up the last parts. It'll bring cutting edge float8, quantization & sparsity support🤏 We'll soon publish a part 2 with more in-depth about this integration, stay tuned!
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Last but not least, vLLM and llama.cpp are currently being worked on! 🚀 Initial artifacts for testing will be made available for the community around end of Q1'25 🛠️ and follow up blog posts will pop as we start rolling them out.
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Want to leverage @AMDInstinct MI300x GPUs for LLMs? Check out how easy it is and the performance in our blog post! 🚀 👉huggingface.co/blog/huggingf… Still hungry?🧐Register for the next HuggingCast on June 6th 🎙️streamyard.com/watch/iMZUvJn… PS: Deploy these GPUs on @Azure right now! 😱
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Hello @Free_1337 👋🏻, plus de fibre depuis le 19/12 sur Lessard le National (71530) est-ce que vous avez de la visibilité sur une résolution future ? 🤗🙏🏻
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🚢Docker Hub image has been update to it's latest version for an easy start hub.docker.com/repository/do…
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In the coming release we will focus on: - Making optimum-nvidia pip installable - Enabling GPTQ/AWQ models from the @huggingface hub - Officially supporting Mistral models Stay tuned! 🤗
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On-prem datacenter user? @huggingface is coming to you thanks to this new partnership with @DellTech 🤝. Let's go team! 🚀
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