Hugging Face's logo

Unofficial Mistral Community

community
Activity Feed Request to join this org

AI & ML interests

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

Recent Activity

JustinLin610Β  authored a paper 17 days ago
Parallel Scaling Law for Language Models
JustinLin610Β  authored a paper 17 days ago
WorldPM: Scaling Human Preference Modeling
RaushanTurganbayΒ  new activity about 1 month ago
mistral-community/pixtral-12b:Error with transformers 4.51.3: RuntimeError: Input type (torch.cuda.FloatTensor) and weight type (torch.cuda.HalfTensor) should be the same
View all activity

mistral-community's activity

danielhanchenΒ 
posted an update 14 minutes ago
clemΒ 
posted an update 4 days ago
view post
Post
4408
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!
Β·
clemΒ 
posted an update 8 days ago
view post
Post
3177
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!
  • 1 reply
Β·
clemΒ 
posted an update 12 days ago
view post
Post
3409
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""!
Β·
reach-vbΒ 
posted an update 14 days ago
view post
Post
3527
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€—
Β·
JustinLin610Β 
authored 2 papers 17 days ago
clemΒ 
posted an update 20 days ago
view post
Post
3124
Very cool to see pytorch contributing on Hugging Face. Time to follow them to see what they're cooking!
  • 2 replies
Β·
clemΒ 
posted an update 25 days ago
clemΒ 
posted an update 27 days ago
view post
Post
4056
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?
Β·
mrfakenameΒ 
posted an update about 1 month ago
view post
Post
3047
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
Β·
clemΒ 
posted an update about 1 month ago
RaushanTurganbayΒ 
in mistral-community/pixtral-12b about 1 month 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 about 1 month ago by
david-crynge
clemΒ 
posted an update about 1 month ago
view post
Post
1541
The meta-llama org just crossed 40,000 followers on Hugging Face. Grateful for all their impact on the field sharing the Llama weights openly and much more!

We need more of this from all other big tech to make the AI more open, collaborative and beneficial to all!
danielhanchenΒ 
posted an update about 1 month ago
view post
Post
1873
πŸ’œ Qwen3 128K Context Length: We've released Dynamic 2.0 GGUFs + 4-bit safetensors!
Fixed: Now works on any inference engine and fixed issues with the chat template.
Qwen3 GGUFs:
30B-A3B: unsloth/Qwen3-30B-A3B-GGUF
235-A22B: unsloth/Qwen3-235B-A22B-GGUF
32B: unsloth/Qwen3-32B-GGUF

Read our guide on running Qwen3 here: https://docs.unsloth.ai/basics/qwen3-how-to-run-and-finetune

128K Context Length:
30B-A3B: unsloth/Qwen3-30B-A3B-128K-GGUF
235-A22B: unsloth/Qwen3-235B-A22B-128K-GGUF
32B: unsloth/Qwen3-32B-128K-GGUF

All Qwen3 uploads: unsloth/qwen3-680edabfb790c8c34a242f95
danielhanchenΒ 
posted an update about 1 month ago
view post
Post
5820
πŸ¦₯ Introducing Unsloth Dynamic v2.0 GGUFs!
Our v2.0 quants set new benchmarks on 5-shot MMLU and KL Divergence, meaning you can now run & fine-tune quantized LLMs while preserving as much accuracy as possible.

Llama 4: unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF
DeepSeek-R1: unsloth/DeepSeek-R1-GGUF-UD
Gemma 3: unsloth/gemma-3-27b-it-GGUF

We made selective layer quantization much smarter. Instead of modifying only a subset of layers, we now dynamically quantize all layers so every layer has a different bit. Now, our dynamic method can be applied to all LLM architectures, not just MoE's.

Blog with Details: https://docs.unsloth.ai/basics/dynamic-v2.0

All our future GGUF uploads will leverage Dynamic 2.0 and our hand curated 300K–1.5M token calibration dataset to improve conversational chat performance.

For accurate benchmarking, we built an evaluation framework to match the reported 5-shot MMLU scores of Llama 4 and Gemma 3. This allowed apples-to-apples comparisons between full-precision vs. Dynamic v2.0, QAT and standard iMatrix quants.

Dynamic v2.0 aims to minimize the performance gap between full-precision models and their quantized counterparts.
clemΒ 
posted an update about 1 month ago
view post
Post
4024
Energy is a massive constraint for AI but do you even know what energy your chatGPT convos are using?

We're trying to change this by releasing ChatUI-energy, the first interface where you see in real-time what energy your AI conversations consume. Great work from @jdelavande powered by spaces & TGI, available for a dozen of open-source models like Llama, Mistral, Qwen, Gemma and more.

jdelavande/chat-ui-energy

Should all chat interfaces have this? Just like ingredients have to be shown on products you buy, we need more transparency in AI for users!
  • 3 replies
Β·
clemΒ 
posted an update about 1 month ago
view post
Post
2974
Just crossed half a million public apps on Hugging Face. A new public app is created every minute these days 🀯🀯🀯

What's your favorite? http://hf.co/spaces
  • 3 replies
Β·
clemΒ 
posted an update about 2 months ago
view post
Post
1480
You can now bill your inference costs from all our inference partners (together, fireworks, fal, sambanova, cerebras, hyperbolic,...) to your Hugging Face organization.

Useful to drive more company-wide usage of AI without the billing headaches!
  • 1 reply
Β·
RaushanTurganbayΒ 
in mistral-community/pixtral-12b about 2 months ago

How do I load the model quantized?

4
#33 opened about 2 months ago by
treehugg3