What is deepseek-v4-flash-dspark-abliterated-uncensored-1m-57toks?

This project publishes modified versions of the DeepSeek V4 Flash DSpark language model with its built in safety refusals removed, a process the author calls abliteration. The goal is to produce a model that will answer most prompts without declining, which the README says is intended for red teaming, research, and running an unfiltered assistant on your own hardware. There are two separate releases. Version 1.0 alpha is the fully modified edit, tuned for the highest raw speed and the strongest refusal bypass. Version 1.1 alpha keeps more of the original model's behavior intact so it works better with certain agent frameworks named Mida, Brikie, and Hermes, at a small cost in speed. Both versions are built to run with a very large context window, over one million tokens, on two DGX Spark machines using the vLLM serving engine and a Docker image the author provides. The actual model weights are not stored in this repository. They live on Hugging Face behind a gated access form that asks for your name, email, and reason for use. Downloading requires agreeing to a responsible use policy that lists prohibited uses, including anything involving minors, self harm content, illegal material, or harassment of real people, and requires the user to be at least 18 years old. The repository itself contains setup scripts, benchmark results, and documentation rather than a typical application. Someone using this would need a background in running large language models locally, since the instructions involve command line downloads, environment variables, and multi GPU serving scripts. The author states these are research releases without a built in safety layer, and that anyone deploying them is responsible for adding their own guardrails.