Search: “clem-delangue--x”

RIP Anthropic API fees. Someone just made Claude Code run 100% locally on a MacBook for $0/month. 122B parameter model. 65 tokens per second. Nothing touches the cloud. The trick everyone else missed:

It's never been easier for your agent to harness the power of Hugging Face, from account creation to getting your own finetuned model, with everything in between, without any manual action on your end

Clem Delangue, CEO of Hugging Face, is soliciting beta testers for new dataset hosting features specifically designed for robotics data. The post seeks to identify organizations and researchers curren

@opentraces 0.3 is out! Big update: a stronger security pipeline with TruffleHog and LLM review, generation-aware ingest for living traces, line-level attribution + inverse blame with a @gitbutler-sty

Sharing my current setup to run Qwen3.6 locally in a good agentic setup (Pi + llama.cpp). Should give you a good overview of how good local agents are today: # Start llama.cpp server: llama-server -hf

The post praises a coding agent tracer/viewer tool available on Hugging Face, highlighting its quality and usefulness for developers working with agents. The tool appears to be part of the pi-mono dat

This post announces Ornstein3.6-35B-A3B-GGU, a fine-tuned variant of Qwen 3.6 35B model available on Hugging Face, with the author claiming it represents a high-quality optimization of the base model.

180 tok/s generation on a 4090 with qwen 3.6. if you're on a 4090 and not running this model yet you're leaving performance on the table. 3B active params at that speed is insane for agentic coding. t

Adithya is putting his work where his heart is. If you believe in open research and open AI, join a company that actually lives those values, not a closed-source, revenue-maximizing one! Quick career

Completely agree with Jensen! Not exporting AI out of fear is classic case where the cure would be 100x worse than the disease. You slow down innovation, progress and US technology and economic leader

This post discusses a blog article by @pcuenq that covers the process of creating new skills and test harnesses to automate the conversion of machine learning models from the Hugging Face Transformers

HOLY 🤯 The one and only @elder_plinius just dropped an unlocked Gemma 4 E4B, and the specs are INSANE. Look at the performance shifts: → Refusal rate: 98.8% down to 2.1% (!!) → Compliance: 1.2% up to

i feel no shame. zero. none. You can now visualize Pi traces that you upload on @huggingface! Let's make sharing agent traces 10x more common to make agent AI more open and collaborative! Also, becaus

Just added 8 new developer-loved providers to @stripe projects: > stripe projects catalog > @huggingface, @Cloudflare, @OpenRouter, @firecrawl, @flydotio, @Amplitude_HQ, @mixpanel, @inngest Your agent

Just launched some great new providers in Stripe Projects (http://projects.dev): @huggingface @Cloudflare @OpenRouter @firecrawl @flydotio @Amplitude_HQ @mixpanel @inngest Many more coming later this

LeRobot is an open-source robotics framework or platform that aims to democratize access to robotics development and research. The post suggests it addresses gaps in the robotics field by providing ac

New insane model from Jackrong on @huggingface 🤯 Qwen3.5-9B-GLM5.1-Distill-v1 🧠 Distilled on GLM-5.1 reasoning ⚙️ Deeper thinking than base model 🧪 Benchmarks coming soon ✅ Fits on 8GB VRAM ✍️ New mod

Open source software will be many times more secure than closed source software in the new Mythos era they: OpenClaw is so insecure look at all these GHSAs! reality: we are just an indicator of the co

انتهت حجة 'ما عندي كرت شاشة قوي عشان أشغل ذكاء اصطناعي محلي'. علي بابا نزلت موديل Qwen3.6 بهندسة MoE. حجمه الكلي 35B (يعطيك ذكاء عالي جداً)، لكن وقت الـ Inference يستهلك 3B فقط! يعني أداء Enterprise ع

Shocking result on my pelican benchmark this morning, I got a better pelican from a 21GB local Qwen3.6-35B-A3B running on my laptop than I did from the new Opus 4.7! Qwen on the left, Opus on the righ

Sorry for the long wait, everyone! As I said, Qwen is going to keep open-sourcing! ⚡ Meet Qwen3.6-35B-A3B：Now Open-Source！🚀🚀 A sparse MoE model, 35B total params, 3B active. Apache 2.0 license. 🔥 Agen

The open-source AI community just got a new home for their data workflows. 🤗 @huggingface is now available in Adaptive Data. Pull datasets directly into a platform that evolves with the problems you'r

The pi-mono dataset, hosted on Hugging Face by badlogicgames, is a machine learning dataset likely containing monophonic audio or single-channel data related to pi (π) mathematical constants or Pi-rel

A developer successfully optimized Qwen 3.6-35B model to 2-bit quantization, achieving significant performance improvements with only 13GB RAM requirements while maintaining functionality. The work in

We replicated Mythos findings in opencode using public models, not Anthropic's private stack. The moat is moving from model access to validation: finding vulnerability signal is getting cheaper; turni

We’re open-sourcing HY-World 2.0, a multimodal world model that generates, reconstructs, and simulates interactive *3D worlds* from text, images, and videos. Outputs can be integrated into game engine

You can now visualize Pi traces that you upload on @huggingface! Let's make sharing agent traces 10x more common to make agent AI more open and collaborative! Also, because it's fun to analyze @badlog

Given the increasingly closed-source nature of the U.S. AI ecosystem, it is now more important than ever to push for the proliferation of open model and dataset releases. Datamule (@johngfriedman), @T

Hugging Face co-founder and CEO Clément Delangue advocates for more developers and researchers to focus on building evaluation harnesses and testing frameworks specifically designed for open-source an

Open-source is the solution to cyber-security because with new AI capabilities, all of the open-source repos will be inspected and patched 100x faster/better than any closed-source system! Let's take

SONIC training code + Finetuning checkpoint + VLA data collection scripts are open-sourced. Little easter egg on the GEAR-SONIC website too :) https://github.com/NVlabs/GR00T-WholeBodyControl SONIC is

The most powerful LLM to run at home: 소형 로컬LLM 중 가장 강력한 모델을 소개합니다. 🔥SuperGemma4-31b-abliterated 우리가 원하는 로컬 모델의 모든것 - 무검열, 가벼움, 똑똑함 벤치마크 평가 : MMLU, GPQA, IFEval 등 벤치 항목을 종합하여 판단. 모델의 태생 약점, 비효율적인 연산단계와

Clem Delangue (or someone in their network) shared excitement about successfully running GLM 5.1 locally, noting it appears to be functional and effective. The post highlights the cost advantage of ru

I just updated our license. For personal use, you’re free to run the software on your own servers for coding, building applications, agents, tools, or integrations, as well as for research, experiment

Introducing Kernels on the Hugging Face Hub ✨ What if shipping a GPU kernel was as easy as pushing a model? - Pre-compiled for your exact GPU, PyTorch & OS - Multiple kernel versions coexist in one pr

Is there somewhere a collection of the best agent/coding harnesses for each models, especially open-source and local ones? In my opinion, the biggest reason why people are struggling with open/local m

This page indicates that the functionality of x.com is restricted due to technical issues on the user's end. Primary issues include JavaScript being disabled in the browser, requiring the user to enab

let's go open-source and local models! Uber's CTO told @LauraBratton5 that AI coding tools—particularly Anthropic’s Claude Code—has already maxed out its 2026 AI budget 📈 “I'm back to the drawing boar

llama.cpp built from source + qwen3.5 27b running locally + hermes agent on top + camofox for scraping (tls spoofing) + scweet to scrape x (no api keys) + tailscale to access from other devices bro Me

M2.7 w/ hermes cli is replacing ~75% of my claude code / opus usage now, but we need clarity for using it as a coding agent @ work. We're truly blessed to have the weights of this one, looking forward

New post: We show that small, cheap models can detect the flagship Mythos FreeBSD zero-day (CVE-2026-4747) using a simple harness we call nano-analyzer Models down to 3.6B active params (including ope

Remi Louf shared that a blog post he wrote about function calling and open source models unexpectedly reached the Hacker News frontpage. The post, hosted on thetypicalset.com, likely explores how open

Sub-32B open weights models now offer GPT-5 level intelligence with Qwen3.5 27B (Reasoning) matching GPT-5 (medium) at 42 and Gemma 4 31B (Reasoning) matching GPT-5 (low) at 39 on the Artificial Analy

Time to follow http://hf.co/tencent! Genie3 generates videos. We generate 𝟯𝗗 𝘄𝗼𝗿𝗹𝗱𝘀 you can actually use. Launching tomorrow — Tencent #HYWorld 2.0, an engine-ready World Model🚀 This isn't a video. It

Benchmarked @DJLougen ’s Ornstein-27B-v2 Q6_K on my RTX 3090 using hermes-bench, my new open-source benchmarking UI for local LLMs and Hermes agents. Ornstein is a Qwen 3.5 27B fine-tune trained on re

DFlash, an optimized inference technique, has been integrated for the Kimi-K2.5 model and pushed to SGLang approximately 3 hours prior to the post. The implementation achieves acceptance lengths rangi