Dealign.ai ships Mac-only uncensored Mistral Small 4

This is a clever local-inference flex more than a base-model breakthrough, but it matters because it makes a 119B MoE feel reachable on Mac hardware. The real moat is the packaging around JANG and MLX Studio, not a new underlying architecture.

• –The 37GB JANG_2L build is the practical win, because it gets a 119B-class model into the 64GB-Mac conversation.
• –MLX Studio and `jang-tools` are the only supported paths, so the release is much narrower than GGUF/llama.cpp-based distribution.
• –The `CRACK`/abliteration angle will appeal to users who want fewer refusals, but it also makes safety and misuse concerns part of the product story.
• –The benchmark claims are interesting, but the post's `30GB` headline and the repo's `37GB`/`64GB` metadata don't perfectly line up, so the numbers deserve a quick sanity check.