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Trey Saddler

tosaddler
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https://treysaddler.com

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liked a model 17 days ago
sesame/csm-1b
reacted to reach-vb's post with ❤️ 4 months ago
Massive week for Open AI/ ML: Mistral Pixtral & Instruct Large - ~123B, 128K context, multilingual, json + function calling & open weights https://huggingface.co/mistralai/Pixtral-Large-Instruct-2411 https://huggingface.co/mistralai/Mistral-Large-Instruct-2411 Allen AI Tülu 70B & 8B - competive with claude 3.5 haiku, beats all major open models like llama 3.1 70B, qwen 2.5 and nemotron https://huggingface.co/collections/allenai/tulu-3-models-673b8e0dc3512e30e7dc54f5 https://huggingface.co/collections/allenai/tulu-3-datasets-673b8df14442393f7213f372 Llava o1 - vlm capable of spontaneous, systematic reasoning, similar to GPT-o1, 11B model outperforms gemini-1.5-pro, gpt-4o-mini, and llama-3.2-90B-vision https://huggingface.co/Xkev/Llama-3.2V-11B-cot Black Forest Labs Flux.1 tools - four new state of the art model checkpoints & 2 adapters for fill, depth, canny & redux, open weights https://huggingface.co/collections/reach-vb/black-forest-labs-flux1-6743847bde9997dd26609817 Jina AI Jina CLIP v2 - general purpose multilingual and multimodal (text & image) embedding model, 900M params, 512 x 512 resolution, matroyoshka representations (1024 to 64) https://huggingface.co/jinaai/jina-clip-v2 Apple AIM v2 & CoreML MobileCLIP - large scale vision encoders outperform CLIP and SigLIP. CoreML optimised MobileCLIP models https://huggingface.co/collections/apple/aimv2-6720fe1558d94c7805f7688c https://huggingface.co/apple/coreml-mobileclip A lot more got released like, OpenScholar (https://huggingface.co/collections/OpenScholar/openscholar-v1-67376a89f6a80f448da411a6), smoltalk (https://huggingface.co/datasets/HuggingFaceTB/smoltalk), Hymba (https://huggingface.co/collections/nvidia/hymba-673c35516c12c4b98b5e845f), Open ASR Leaderboard (https://huggingface.co/spaces/hf-audio/open_asr_leaderboard) and much more.. Can't wait for the next week! 🤗
reacted to asoria's post with 👍 6 months ago
📝 I wrote a tutorial on how to get started with the fine-tuning process using Hugging Face tools, providing an end-to-end workflow. The tutorial covers creating a new dataset using the new SQL Console 🛢 and fine-tuning a model with SFT, guided by the Notebook Creator App 📙. 👉 You can read the full article here: https://huggingface.co/blog/asoria/easy-fine-tuning-with-hf https://huggingface.co/spaces/asoria/auto-notebook-creator
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