AI Model2026
Provides uncensored variants of Qwen3.8-27B modified with ARA (Arbitrary-Rank Ablation) to surgically remove refusal behavior, packaged as GGUF quant files for local llama.cpp inference. RVN applies two extra ARA passes that reduce harmful-prompt refusals to 0–1/100 with very low KL damage; intended for adult research/creative use and reduces safety guardrails.
AI Model2026
Local GGUF build of Qwen 3.8 27B with the refusal direction ablated for llama.cpp; includes vision projector (mmproj), MTP speculative head, a 262k context window and multiple quant tiers (Q2–Q8, F16). Research-only release that requires updated llama.cpp and explicit safety layers.
AI Model2026
An uncensored, "abliterated" fork of Qwen3.8-27B that removes refusal behavior by modifying targeted weights and provides multiple GGUF/BF16 quantized variants for local research and deployment, while carrying significantly reduced safety filtering.
AI Model2026
A 35B mixture-of-experts LLM tuned for agentic coding and end-to-end self-improvement: it jointly generates tasks, scaffolds, and solution rollouts. Activates ~3B params/token, supports 256K context (extendable), and emits chain-of-thought plus OpenAI-style tool calls.