Hugging Face (Twitter)

RT @charliermarsh: The new Hugging Face jobs CLI is powered by uv 🤗

You can use `hf jobs uv run` to initiate a job from a standalone Python script.

‌Hugging Face (Twitter)

RT @business: Zhipu is releasing its biggest open-source model to date, joining a growing number of Chinese firms ramping up their free artificial intelligence offerings

Hugging Face (Twitter)

RT @ClementDelangue: The GSPO paper by @Alibaba_Qwen is already the third most popular one on @huggingface for the month of July.

I suspect this will have a massive impact on the field! https://huggingface.co/papers/month/2025-07

Also, let's get back to celebrate research papers as massive contributions to the field?

Hugging Face (Twitter)

RT @ClementDelangue: We thought we would get xAI open-source but got zAI so even better 😅😅😅

Hugging Face (Twitter)

RT @roo_code: Roo Code now supports @huggingface🤗

Fast config. No extra hosting. And the ability to bring a whopping 91 models directly into your editor. Try it now!

‌Hugging Face (Twitter)

RT @ivanfioravanti: GLM-4.5-Air-3bit for anybody out there with a Mac with 64GB that wants to try it, while DWQ is cooking 🔥

https://huggingface.co/mlx-community/GLM-4.5-Air-3bit

Hugging Face (Twitter)

RT @ClementDelangue: How much are you using @huggingface's CLI? Mostly to upload and download models and datasets?

We just revamped it (welcome to `hf`!) and added the capability to run jobs directly on our infra. Useful?

Hugging Face (Twitter)

RT @HuggingPapers: TencentARC unveils ARC-Hunyuan-Video-7B on Hugging Face.

A compact 7B multimodal model designed for deep, structured comprehension of real-world short videos, processing visual, audio, & text signals end-to-end.

Hugging Face (Twitter)

RT @Hesamation: a few months ago i shared this interactive blog post “LLM embeddings explained” on @huggingface and it gives me chills that people have actually found it helpful.

yesterday someone posted about it on LinkedIn, made me think about it after a while!

Hugging Face (Twitter)

RT @reach_vb: BOOM! Latest Qwen 30B A3B 2507 running blazingly fast on Mac powered by MLX 💥

mlx_lm.chat --model "lmstudio-community/Qwen3-30B-A3B-Instruct-2507-MLX-4bit"

That's it, try it out today!

Hugging Face (Twitter)

RT @roo_code: Got a favorite @huggingface model? Now it lives in your editor. 🤗

Roo Code makes it easy to connect your API key, choose from 90+ models, and select your preferred inference provider in just a few clicks.

Watch the quick tutorial and explore more: https://docs.roocode.com/providers/huggingface

Hugging Face (Twitter)

RT @vanstriendaniel: I just processed 1000s of prompts using Qwen3-235B-A22B-Instruct-2507 across 4 GPUs!

How? Everyone plays their part:
@astral_sh UV handles dependencies
@huggingface Jobs handles GPUs
@Alibaba_Qwen handles the model
@vllm_project handles inference

One command. Zero complexity!

Hugging Face (Twitter)

RT @lhoestq: > hf jobs is just out and damnnnn I love the uv integration 💛

@huggingface made their scripts uv-ready to run them on HF infra without setting up docker or dependencies.

E.g.
run DPO locally > uv run dpo․py
run DPO on HF > hf jobs uv run dpo․py

Bonus: --flavor for GPUs🔥

Hugging Face (Twitter)

RT @NielsRogge: Efficient LoFTR was just integrated into @huggingface Transformers!

It improves upon LoFTR, a detector-free image matcher, by being 2.5x faster. It can even surpass the SOTA efficient sparse matching pipeline SuperPoint + LightGlue.

Now available in a few lines of code!

Hugging Face (Twitter)

RT @jandotai: Jan v0.6.6 is out: Jan now runs fully on llama.cpp.

- Cortex is gone, local models now run on @ggerganov's llama.cpp
- Toggle between llama.cpp builds
- @huggingface added as a model provider
- Hub enhanced
- Images from MCPs render inline in chat

Update Jan or grab the latest.

Hugging Face (Twitter)

RT @sleenyre: Happy to have released my first model. A lot of work went into making Krea 1 open source. https://twitter.com/krea_ai/status/1950921488871408075#m

‌Hugging Face (Twitter)

RT @NVSWSourcer: 👀 We just opened over 26M lines of synthetic data that was used to train the Llama Nemotron Super v1.5 model.

🔢 Find them on Hugging Face 🤗 bit.ly/4l8DIc7

Hugging Face (Twitter)

RT @ClementDelangue: let's open superintelligence for all!