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Friedrich Marty

Smorty100
·
https://gitlab.com/users/Marty_Friedrich/projects

AI & ML interests

I'm most interested in content rerouting between LLM and VLLM agens for automation possibilities. Using templates for each agent which is then filled in by another agents inputs seems really useful.

Recent Activity

liked a model about 4 hours ago
Qwen/QwQ-32B-Preview
liked a Space about 14 hours ago
PR-Puppets/PR-Puppet-Sora
Reacted to reach-vb's post with ❤️ 3 days 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! 🤗
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