abliterated

A LoRA adapter was trained on an abliterated Qwen 3.8-27B model to enhance internal codebase recall, demonstrating superior performance over Claude models on private-repo-specific tasks in evaluations.

This article releases GGUF quantizations of the uncensored Qwen3.8-Flash-Next model, a Mixture-of-Experts preview of the Qwen4 architecture designed for llama.cpp with vision support, requiring a custom build for compatibility.

A user inquires about the best uncensored version of the Qwen3.8 27b AI model for reverse engineering legacy code to avoid refusals.

This article presents Blackfrost-AI's abliterated version of the Qwen3.8-27B model, modified to reduce refusal behaviors and released in GGUF format for local inference, with benchmarks indicating a low residual refusal rate.

A model card for Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF, an abliterated (uncensored) GGUF quantized variant of DeepSeek-V4-Flash, designed for local use with llama.cpp and ds4.

A fine-tuned model based on GLM-5.2, abliterated and specialized for agent testing and red teaming, achieving 97.5% benign utility on AgentDojo and strong coding benchmarks.

An uncensored version of the GLM5.2 754B parameter model (231GB GGUF) was successfully deployed on a Mac Studio M3 Ultra with 512GB RAM, achieving approximately 3.6 tokens/s.

The user released Apostate, an abliterated version of Qwen 3.6 27B that reduces safety alignment refusal rate from 92% to 7.6% with minimal capability loss (KL 0.120).

A tweet highlights that the abliterated, NVFP4 quantized Gemma-4-12B model (7.7 GB) can rival Qwen 3.6-35B in practical tasks while running fast on Blackwell GPUs, demonstrating significant efficiency gains.

An abliterated (uncensored) version of DeepSeek-V4-Flash, optimized for Apple Macs with MLX, removing refusal behaviors while preserving knowledge and reasoning.