Released on Sep 10, 2026
DeepSeek's MoE model with 552B total parameters and 8-16B active per token. 1M-token context, MIT license: free commercial use. Built for online serving, too large for local use on a single PC.
Modello MoE da 552B (8B attivi in input, 16B in output) con comprensione visiva nativa, architettura Encoder-Decoder causale e licenza MIT.
Visit the official site to download, learn more and start using DeepSeek V4.1 Flash.
An 11.4MB (single-file) System-1 decision model built on an e5-small-v2 text encoder. 128MB resident-memory peak, runs on CPU. Given a state and typed questions, it returns a calibrated probability per option in one pass, without generating tokens. English-only.
The newest open music model with excellent control over lyrics and styles: generates complete songs with lyrics in many languages, including Italian.
An open decision model from Autotrust, 35B parameters (3B active), a fine-tune of Qwen3.5-35B-A3B for text classification and risk scoring. In NVFP4 quantization it occupies about 25.6 GB of VRAM: it runs on a 32 GB GPU with no frontier inference needed.
