AI & ML interests

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

Recent Activity

mrfakenameΒ 
posted an update about 10 hours ago
view post
Post
467
Trained a model for emotion-controllable TTS based on MiMo audio on LAION's dataset.

Still very early and does have an issue with hallucinating but results seem pretty good so far, given that it is very early into the training run.

Will probably kick off a new run later with some settings tweaked.

Put up a demo here: mrfakename/EmoAct-MiMo

(Turn πŸ”Š on to hear audio samples)
danielhanchenΒ 
posted an update 2 months ago
view post
Post
5810
Run DeepSeek-V3.1 locally on 170GB RAM with Dynamic 1-bit GGUFs!πŸ‹
GGUFs: unsloth/DeepSeek-V3.1-GGUF

The 715GB model gets reduced to 170GB (-80% size) by smartly quantizing layers.

The 1-bit GGUF passes all our code tests & we fixed the chat template for llama.cpp supported backends.

Guide: https://docs.unsloth.ai/basics/deepseek-v3.1
clemΒ 
posted an update 3 months ago
danielhanchenΒ 
posted an update 3 months ago
danielhanchenΒ 
posted an update 3 months ago
MaziyarPanahiΒ 
posted an update 3 months ago
view post
Post
10564
🧬 Breaking news in Clinical AI: Introducing the OpenMed NER Model Discovery App on Hugging Face πŸ”¬

OpenMed is back! πŸ”₯ Finding the right biomedical NER model just became as precise as a PCR assay!

I'm thrilled to unveil my comprehensive OpenMed Named Entity Recognition Model Discovery App that puts 384 specialized biomedical AI models at your fingertips.

🎯 Why This Matters in Healthcare AI:
Traditional clinical text mining required hours of manual model evaluation. My Discovery App instantly connects researchers, clinicians, and data scientists with the exact NER models they need for their biomedical entity extraction tasks.

πŸ”¬ What You Can Discover:
βœ… Pharmacological Models - Extract "chemical compounds", "drug interactions", and "pharmaceutical" entities from clinical notes
βœ… Genomics & Proteomics - Identify "DNA sequences", "RNA transcripts", "gene variants", "protein complexes", and "cell lines"
βœ… Pathology & Disease Detection - Recognize "pathological formations", "cancer types", and "disease entities" in medical literature
βœ… Anatomical Recognition - Map "anatomical systems", "tissue types", "organ structures", and "cellular components"
βœ… Clinical Entity Extraction - Detect "organism species", "amino acids", 'protein families", and "multi-tissue structures"

πŸ’‘ Advanced Features:
πŸ” Intelligent Entity Search - Find models by specific biomedical entities (e.g., "Show me models detecting CHEM + DNA + Protein")
πŸ₯ Domain-Specific Filtering - Browse by Oncology, Pharmacology, Genomics, Pathology, Hematology, and more
πŸ“Š Model Architecture Insights - Compare BERT, RoBERTa, and DeBERTa implementations
⚑ Real-Time Search - Auto-filtering as you type, no search buttons needed
🎨 Clinical-Grade UI - Beautiful, intuitive interface designed for medical professionals

Ready to revolutionize your biomedical NLP pipeline?

πŸ”— Try it now: OpenMed/openmed-ner-models
🧬 Built with: Gradio, Transformers, Advanced Entity Mapping
Β·
danielhanchenΒ 
posted an update 4 months ago
danielhanchenΒ 
posted an update 4 months ago
danielhanchenΒ 
posted an update 4 months ago
clemΒ 
posted an update 4 months ago
danielhanchenΒ 
posted an update 4 months ago
reach-vbΒ 
posted an update 5 months ago
view post
Post
5427
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!
  • 1 reply
Β·
danielhanchenΒ 
posted an update 5 months ago
view post
Post
2410
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.
danielhanchenΒ 
posted an update 5 months ago