view article Article Harness adapters: Safe RL for efficient agentic development harness-hub • 4 days ago • 46
Running on CPU Upgrade 523 The Ultimate MoE Training Handbook 🧩 523 A hands-on guide to training Mixture-of-Experts models
deepseek-ai/DeepSeek-V4.1-Flash-1017 Image-Text-to-Text • 763B • Updated about 20 hours ago • 330k • • 5.47k
Running 291 The ultimate guide to multi-harness RL 🔀 291 Train open models with RL inside real agent harnesses
view article Article tokenizers v1: encode, decode and scaling, measured +2 ArthurZ, sbrandeis, mcpotato, lysandre • Sep 21 • 97
view article Article Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community +3 pcuenq, lysandre, victor, julien-c, Jundot • Sep 22 • 104
view post Post 2,474 @retrain-pipelines execution engine is in perpetual evolution, with the aim to establish itself as SOTA, and for the long run.However, we neglect no aspect of ML-Eng centricity.If notebooks is where you like to do dev most,we support you there 100% too.Build crazy combos of inline tasks, deep parallel sub-DAG branches, nested asynchronous groups...... the DAG renderer is undergoing an incremental upgradeuntil the next one.* starring toy tasks here. No ML has been hurt in this video 🙂 See translation ❤️ 2 2 🔥 2 2 + Reply
view article Article Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident +2 hlarcher, XciD, raphael-gl, chris-rannou • Jul 27 • 518
view article Article Shipping a Trillion Parameters With a Hub Bucket: Delta Weight Sync in TRL +6 aminediroHF, qgallouedec, kashif, lewtun, edbeeching, albertvillanova, lvwerra, sergiopaniego • May 27 • 50
view post Post 6,080 Introducing Unsloth for AMD 🚀You can now train & run LLMs on your AMD hardware• We collaborated with AMD to enable you to train & run 500+ models on AMD GPUs• Works on Windows, WSL, Linux• Train Qwen, Gemma on just 3GB VRAMGitHub: https://github.com/unslothai/unslothBlog + Guide: https://unsloth.ai/docs/basics/amd See translation 3 replies · 🔥 26 26 ❤️ 9 9 🚀 6 6 🤗 6 6 👍 5 5 👀 4 4 🧠 3 3 ➕ 3 3 🤝 2 2 🤯 2 2 😎 2 2 + Reply