MiniMaxAI/MiniMax-H3
Image-Text-to-Video • 33B • Updated • 5.1M • • 6.35k
🤝 Open to Collab
Andrei Ovcharenko
Kreout
AI & ML interests
Java backend development, Spring Boot, Kafka, infrastructure and automation. Interested in local AI tools and practical developer workflows. Open-source developer tools: https://github.com/krotname.
Recent Activity
repliedto africanspeech's post about 8 hours ago
Introducing AfricanSpeech FR-CMR — Cameroon French Speech Dataset
How well do ASR systems recognize spontaneous French spoken in Cameroon?
We've released our dataset page featuring:
- 1,172 speech clips | 162 speakers | 4.89 hours
- Human-validated ASR references and demographic metadata
- Audio demos and a benchmark comparing five ASR systems
Available for commercial licensing and evaluation.
Open to research and industry collaborations.
Explore the dataset:
https://huggingface.co/datasets/africanspeech/cameroon-french-speech
Contact: contact@africanspeech.com repliedto juiceb0xc0de's post 4 days ago
You built a model. Wanna know what lights up inside it?💡
I put a little juice in the box so you can find out!🧃
I built Cartographics, a HF ZeroGPU Space for building neural activation atlases of language models.
I wanted to make the tools I use to explore model internals accessible to people building their own LLMs. Punch in a Hugging Face model ID, run the compatibility check, and start a capture. Prompt formatting and the full corpus are handled automatically.
The atlases help you investigate questions like:
- Which layers and channels respond most strongly to different kinds of prompts?
- How do activation patterns vary across code, math, reasoning, and other topics?
- Which features activate together, and where do unusually strong activations appear?
The census contains 8,965 prompts, giving you a shared basis for exploring different models.
GPU capture runs through ZeroGPU using your account’s allowance. I handle the CPU analysis separately. This release supports compatible architectures and models that fit the available GPU memory.
I’m building this independently, and I’d love to see what models builders explore with it.
What would you want to investigate in your own model?
Try Cartographics Beta:
https://huggingface.co/spaces/juiceb0xc0de/cartographics
https://huggingface.co/datasets/juiceb0xc0de/bella-bartender-gemma-e4b-cgs-atlas
If you make an atlas with us, leave the Space a ❤️. You're helping other people discover mechanistic interpretability the way I wish I did.
Prerequisites:
Models under 10B parameters (20GB of weights in bf16)
No trust_remote_code models, for now.
Preflight catches edge cases. Don't be scared to test it out. It's free to check.
Sign in with Hugging Face. The capture runs on your ZeroGPU quota, the atlas build runs on ours. upvoted an article 5 days ago
We Fine-Tuned a Memory Classifier for Our Agent. Here's Why We Didn't Ship ItOrganizations
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