Knowledge catalogue
Distillation is largely an industry standard and not just something done by Chinese labs targeting OpenAI/Anthropic. Many American companies also distill Chinese (open) models. LIVE TRIAL UPDATE: Open
does anyone else remember how Jacob Devlin went to the media about how Google was supposedly distilling from ShareGPT (it was not) and the resulting blowback? How times have changed 😅 https://futurism
Clem Delangue, CEO of Hugging Face, announced that his company was recognized by TIME magazine as one of the 10 most influential AI companies of 2026. The post emphasizes Hugging Face's commitment to
Introducing Agent Collabs: Bring your own ml-interns and agents for collaborative autoresearch! We built a simple platform for swarms of agents to work together on a problem: they can exchange message
Elon Musk allegedly admitted during legal testimony that xAI is distilling OpenAI models to train its own systems and utilizing OpenAI's technology, according to a post by Clem Delangue discussing sta
The post highlights a contrasting news cycle where the White House condemned Chinese AI labs for alleged model distillation attacks, while Elon Musk later admitted under oath that his company xAI enga
LIVE TRIAL UPDATE: OpenAI's counsel asked Musk whether xAI has ever 'distilled' technology from OpenAI. Musk: 'Generally AI companies distill other AI companies.' 'Is that a yes?' Savitt asked. Musk:
ml-intern is fully on mobile now you can launch 8 A100s from your phone. while on the couch. while commuting. wherever I just did this while biking. same sessions as your desktop too — start a run on
Clem Delangue announced the publication of his first machine learning model on Hugging Face, expressing enthusiasm about the experience and indicating plans for future contributions. The post reflects
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Pi + @huggingface llamacpp + Qwen3.6 = 🔥🔥🔥🔥 turns out not killing the prefix cache all the time and notnhaving a humongous set of tools and a massive system prompt is good for local model use. who'd h
This post compares Pi and Qwen 3.6 AI models to Tesla's Full Self-Driving (FSD) technology, suggesting that advanced local AI models enable autonomous computing capabilities similar to self-driving ve
Clem Delangue announced an upcoming robotics announcement and asked for recommendations on journalists who cover the robotics field. The post seeks to identify credible tech journalists with expertise
someone should build this but to add your repos as datasets/buckets to HF! Suddenly feeling the urge to copy your repo somewhere new? @EntireHQ is open sourcing our latest project today: git-sync. Mos
Hugging Face introduced a new CLI command that helps users identify the best open-source models suited for their specific datasets, streamlining the model selection process. This feature reduces the m
Train a TensorFlow object detection model – then deploy it on a robot 🤖 Iulia Feroli (@iuliaferoli) shows how to turn a notebook into a real-time object detection app. This tutorial works for any proj
Clem Delangue shares his experience using OpenAI's GPT 5.5 within an ML internship context for practical machine learning tasks including dataset creation, model training, and model optimization, as w
What people call 'distillation' is a super common practice (you use other models to benchmark your model, to evaluate your inputs or to add a little bit to your datasets) that in my opinion should be
Clement Delangue, CEO of Hugging Face, posted about receiving a piece of hardware that fits alongside a DGX Spark system, likely referring to an AI accelerator or GPU device. The post suggests a perso
🤖👇 Did you know that you can use the @GoogleAIStudio Gemini Live API for robotics?! Check out @ThePracticalDev blog post from my colleague @thorwebdev to learn more: Finally added Gemini Live to @poll
Recreated the app with ml intern to compare. Went faster than in cowork, some things are better (ex direct integration in the desktop reachy mini app), some things are worse (had to debut the install)
The first agent-native robot! Yesterday, we assembled the new version of Reachy mini and this morning I created my first app in under an hour with ml intern (our Hugging Face agent). Try it in your Re
The @huggingface ml-intern is getting more and more interesting and it was extremely interesting to start with. Added native metric logging + @TrackioApp integration to ml intern so that you can follo
We're open-sourcing Hy-MT1.5-1.8B-1.25bit — a 440MB translation model that runs fully offline on your phone, supports 33 languages, and outperforms Google Translate. At 1.8B parameters, it matches com
Yesterday, @xenovacom assembled Reachy Mini and this morning I created my first app for this new version in under an hour with Claude! Try it on your Reachy mini (or in simulation): https://huggingfac
300,000 AI builders have already added their hardware to HF to instantly see what model they can run locally. To do so, go to https://huggingface.co/settings/local-apps and add your hardware specs. Yo
Added native metric logging + @TrackioApp integration to ml intern so that you can follow every training run it kicks off in real time. Try it by asking 'train a tiny model on a tiny dataset, find som
Congrats to @poolsideai on Laguna XS.2 release. Day 0 support in @vllm_project. FP8, INT4, and NVFP4 quantized checkpoints created with LLM Compressor also ready today. 33B params, 3B active. Apache 2
.@huggingface unveiled ml-intern – an open-source agent that automates the gritty post-training loop: - reading papers - tracing citations - curating datasets - running experiments - and iterating lik
I post-trained Qwen3-Coder to fix bugs using an actual debugger. The result: Solve rate: 70% → 89% Median turns to fix: 46 → 19 (-59%) Instead of just reading code or print-debugging, it: - reasons fr
'If they ever tell my story let them say that I walked with giants'--Troy I am humbled&excited the model we released last week is trending #2 on @huggingface, between giant models such as DeepSeek,Qwe
I’ve been saying this for over a year now: Frontier models are fantastic, but the real future is frontier-level models (in every way) running locally on your own hardware. I think this is 18-24 months
I've been trying to make transformers more agent-friendly: agentic CLI, a skill, doc rewrites, canonical examples. It felt a bit like shooting in the dark: hard to measure progress, and hard to ensure
Just received new reach minis for the Miami office! This is the first robot that goes out to people with agentic software meaning anyone can build any apps with their agents so excited to see what peo
LOCAL AI MODELS ARE CATCHING UP TO FRONTIER MODELS WAY FASTER THAN ANYONE EXPECTED this guy ran qwen 3.6 27B locally on a base macbook pro M4 with 24GB of memory quantized and stripped of safety guard
new in ml-intern: you can now actually see what's going on inside added native metric logging + trackio integration. every training run the agent kicks off now has live curves you can watch in real ti
Pi + local models are definitely really cool! Short demo to clean up my Desktop: > terminal 1: llama-server -hf unsloth/Qwen3.5-9B-GGUF:UD-Q4_K_XL > terminal 2: simply type 'pi' and start talking to i
Today @poolsideai is releasing Laguna M.1 & Laguna XS.2, our latest generation models and first public models We started Poolside because we believed that to build truly capable coding agents, you nee
Today we’re releasing Laguna XS.2, Poolside’s first open-weight model. It’s a 33B total / 3B active MoE model built for agentic coding and long-horizon tasks. Trained fully in-house on our own stack.
Today we’re shipping Laguna M.1 and Laguna XS.2 – our first public models. We’re also shipping our agent harness and a preview product experience. Both models were trained from scratch on our own stac
This post provides links to resources for SWE-Chat, including the arXiv paper (2604.20779), an interactive website (swe-chat.com), and a dataset hosted on Hugging Face. SWE-Chat appears to be a conver
A completely local agent that lives right inside your browser. Powered by Gemma 4 E2B and WebGPU, it uses native tool calling to: 🔍 Search browsing history 📄 Read and summarize pages 🔗 Manage tabs 100
going to buy 2 rtx 6000 just because of the capabilities of local models becoming great! no more outsourcing of research to the api Xiaomi MiMo-V2.5 is now officially open-sourced！ MIT License, suppor
Lately I've been having fun with running coding agents fully locally. The setup I landed on is: - Pi agent - Gemma 4 26B A4B - Server of choice: LM Studio/Ollama/llama.cpp I wrote a step-by-step guide
Llamacpp is a tool for running large language models locally on personal computers, offering free access without relying on cloud services. The technology emphasizes speed, security, and computational
ml-intern from @huggingface is such a cool repository, an 🤖 agentic harness that allows you to wield the larger🤗ecosystem to run all the tasks a ml researcher would. it's all one can ask for as a side
ml-intern now notifies you when it needs input! Amazing for those 12h+ autonomous LLM training runs The ML Intern can now ping you on Slack when it's finished training models, generating datasets, or
Ornstein-Hermes-27B-MLX live https://huggingface.co/GestaltLabs/Ornstein-Hermes-3.6-27b-MLX-16bit https://huggingface.co/GestaltLabs/Ornstein-Hermes-3.6-27b-MLX-8bit https://huggingface.co/GestaltLabs
ML Intern, a feature or tool, now supports Slack notifications to alert users when machine learning tasks complete, including model training, dataset generation, and ablation study analysis. This inte
Clem Delangue, CEO of Hugging Face, discusses best practices for releasing model weights in the open-source AI community and advocates for other AI organizations to follow suit in making their models
This post highlights the three most popular models on Hugging Face during a given week, featuring DeepSeek AI, OpenAI, and Alibaba's Qwen models. The post was shared by Clem Delangue, CEO of Hugging F
Clem Delangue argues that the United States should increase investment and policy support for open source AI models to maintain competitive advantage and reduce dependence on proprietary systems contr
@badlogicgames Yup: https://x.com/antirez/status/2048344770234249588 The GGUF tool calling template is wrong but I'm uploading a new GGUF file. Otherwise there is the right template file in one of the
DeepSeek v4 Flash with *local inference* after 24h of playing with that: even with the 2 bit selective quantization GGUF, iti is the FIRST time I feel I have a frontier model running on my computer. T
extremely happy that we are in q2 2026, and engineers i look up to are plowing a path for the local model future. yes, we are still beholden to some lab publishing weights. but i take that over compan
🚨GUYS QWEN3.6 27B/35B @unslothai MLX QUANTS @Brooooook_lyn cooked 🔥 Apple Silicon users, the exact models y’all have been asking for LANDED. Unsloth mixed-precision quants in native MLX format. >Fast.
HealthBench Professional, our new evaluation of clinician chat tasks, is now available on HuggingFace for easy access. Each example was written, reviewed, and adjudicated by three or more physicians.
Clem Delangue, co-founder of Hugging Face, shared a positive comment about the machine learning internship experience at Hugging Face, suggesting the internship program is engaging and enjoyable for p
A quantized version of DeepSeek-V4-Flash has been released on Hugging Face by the MLX community in 2-bit format with dynamic quantization, making the model more efficient for inference on resource-con
OpenAI released a new dataset on Hugging Face Hub designed to improve ChatGPT's performance in clinical settings, addressing the specific needs and workflows of healthcare professionals. The dataset s