Tools, frameworks, and models for local AI
3 resources found for "Blackwell"
Mistral's largest open-weight model: natively multimodal MoE with 1 trillion total parameters, ~49B active per token (52B including embeddings and output), up to 1M-token context. Trained from scratch on 3,800 NVIDIA Grace Blackwell. Mistral Ecosystem Open-Weight License (a modified MIT): commercial use ok; a Model-as-a-Service business requires a separate commercial license.
326M-parameter autoregressive diffusion model for interactive real-time humanoid motion: online text prompts, kinematic constraints (root trajectories, keyframes, sparse poses) and sequences up to 8 seconds. Trained on Bones Rigplay 1 (27-joint Core skeleton, 20 fps), optimized for NVIDIA Ampere, Hopper and Blackwell GPUs. NVIDIA Open Model Agreement license, commercial use allowed. On Hugging Face since October 7, 2026.
NVIDIA's vision encoder-decoder family for local document understanding: markdown, LaTeX formulas, bounding boxes and a semantic class per element, in reading order. ViT-H (C-RADIO) + 10-block mBART decoder, all under 1 billion parameters. Locally via vLLM (v0.20–v0.26 for 2.0) or Transformers, on NVIDIA GPUs (Turing through Blackwell).
