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Unofficial org for community upload of Mistral's Open Source models.

Recent Activity

JustinLin610Β  authored a paper about 1 month ago
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
JustinLin610Β  authored a paper about 2 months ago
Parallel Scaling Law for Language Models
JustinLin610Β  authored a paper about 2 months ago
WorldPM: Scaling Human Preference Modeling
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danielhanchenΒ 
posted an update 3 days ago
danielhanchenΒ 
posted an update 5 days ago
clemΒ 
posted an update 17 days ago
danielhanchenΒ 
posted an update 19 days ago
reach-vbΒ 
posted an update 24 days ago
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2531
Excited to onboard FeatherlessAI on Hugging Face as an Inference Provider - they bring a fleet of 6,700+ LLMs on-demand on the Hugging Face Hub 🀯

Starting today, you'd be able to access all those LLMs (OpenAI compatible) on HF model pages and via OpenAI client libraries too! πŸ’₯

Go, play with it today: https://huggingface.co/blog/inference-providers-featherless

P.S. They're also bringing on more GPUs to support all your concurrent requests!
danielhanchenΒ 
posted an update 26 days ago
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1949
Mistral releases Magistral, their new reasoning models! πŸ”₯
GGUFs to run: unsloth/Magistral-Small-2506-GGUF

Magistral-Small-2506 excels at mathematics and coding.

You can run the 24B model locally with just 32GB RAM by using our Dynamic GGUFs.
JustinLin610Β 
authored a paper about 1 month ago
danielhanchenΒ 
posted an update about 1 month ago
clemΒ 
posted an update about 1 month ago
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6482
Today, we're unveiling two new open-source AI robots! HopeJR for $3,000 & Reachy Mini for $300 πŸ€–πŸ€–πŸ€–

Let's go open-source AI robotics!
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clemΒ 
posted an update about 1 month ago
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3405
It's just become easier to share your apps on the biggest AI app store (aka HF spaces) for unlimited storage, more visibility and community interactions.

Just pick a React, Svelte, or Vue template when you create your space or add app_build_command: npm run build in your README's YAML and app_file: build/index.html in your README's YAML block.

Or follow this link: https://huggingface.co/new-space?sdk=static

Let's build!
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clemΒ 
posted an update about 2 months ago
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3798
Playing with Veo3 this morning. Share your prompt if you want me to create videos for you (bonus point if they funnily reference HF/open-source). These videos are "a cat on the moon rapping "I love Hugging Face""!
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reach-vbΒ 
posted an update about 2 months ago
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4040
hey hey @mradermacher - VB from Hugging Face here, we'd love to onboard you over to our optimised xet backend! πŸ’₯

as you know we're in the process of upgrading our storage backend to xet (which helps us scale and offer blazingly fast upload/ download speeds too): https://huggingface.co/blog/xet-on-the-hub and now that we are certain that the backend can scale with even big models like Llama 4/ Qwen 3 - we;re moving to the next phase of inviting impactful orgs and users on the hub over as you are a big part of the open source ML community - we would love to onboard you next and create some excitement about it in the community too!

in terms of actual steps - it should be as simple as one of the org admins to join hf.co/join/xet - we'll take care of the rest.

p.s. you'd need to have a the latest hf_xet version of huggingface_hub lib but everything else should be the same: https://huggingface.co/docs/hub/storage-backends#using-xet-storage

p.p.s. this is fully backwards compatible so everything will work as it should! πŸ€—
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JustinLin610Β 
authored 2 papers about 2 months ago
clemΒ 
posted an update about 2 months ago
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3161
Very cool to see pytorch contributing on Hugging Face. Time to follow them to see what they're cooking!
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clemΒ 
posted an update about 2 months ago
clemΒ 
posted an update 2 months ago
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4078
What are you using to evaluate models or AI systems? So far we're building lighteval & leaderboards on the hub but still feels early & a lot more to build. What would be useful to you?
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mrfakenameΒ 
posted an update 2 months ago
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4351
Hi everyone,

I just launched TTS Arena V2 - a platform for benchmarking TTS models by blind A/B testing. The goal is to make it easy to compare quality between open-source and commercial models, including conversational ones.

What's new in V2:

- **Conversational Arena**: Evaluate models like CSM-1B, Dia 1.6B, and PlayDialog in multi-turn settings
- **Personal Leaderboard**: Optional login to see which models you tend to prefer
- **Multi-speaker TTS**: Random voices per generation to reduce speaker bias
- **Performance Upgrade**: Rebuilt from Gradio β†’ Flask. Much faster with fewer failed generations.
- **Keyboard Shortcuts**: Vote entirely via keyboard

Also added models like MegaTTS 3, Cartesia Sonic, and ElevenLabs' full lineup.

I'd love any feedback, feature suggestions, or ideas for models to include.

TTS-AGI/TTS-Arena-V2
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clemΒ 
posted an update 2 months ago
RaushanTurganbayΒ 
in mistral-community/pixtral-12b 2 months ago

Error with transformers 4.51.3: RuntimeError: Input type (torch.cuda.FloatTensor) and weight type (torch.cuda.HalfTensor) should be the same

1
#34 opened 2 months ago by
david-crynge