Huihui-ai Releases Abliterated Qwen3.8 Flash-Next V2

V2 looks like a more careful ablation pass, but its enormous memory footprint keeps it aimed at serious local-inference setups.

• –Revised ablation avoids modifying expert weights, potentially preserving writing and programming quality
• –GGUF packaging supports current Strata and llama.cpp workflows
• –4-bit files require roughly 94–111 GB, limiting practical deployment to high-memory systems
• –Reduced safety filtering demands sandboxing, output monitoring, and application-level guardrails
• –No independent benchmark results are provided, so developers should test coherence, coding, and refusal behavior themselves