DeepSeek put a V4-Flash-Vision-Exp repo on Hugging Face, but it ships inference code and a tokenizer, not weights

Hugging Face (deepseek-ai), via r/LocalLLaMA·high signalXBlueskyLinkedInCopy link

The 228-upvote r/LocalLLaMA post reads as an open-weights drop, and it is not one: deepseek-ai/DeepSeek-V4-Flash-Vision-Exp contains the tokenizer, a prompt-encoding reference and a minimal PyTorch implementation covering the vision encoder and aligner, DFlash attention, MoE, Hyper-Connections and the DSpark forward path. The model itself is a 284B-parameter MoE (twenty 13B experts) that has been API-only since August 21 at the same price as V4-Flash, $0.14 per 1M cache-miss input and $0.28 per 1M output, with images billed at up to 384 tokens each and no per-image fee. For builders this is an architecture reference you can read, not a model you can run.