Model overview
**TL;DR:** abliterated Qwen3.8-27B as a GGUF ladder (Q8_0, Q6_K, Q5_K_M, Q4_K_M) plus a BF16 mmproj for the vision tower. Hard refusals on the 1120-prompt cross-eval: Q8_0 0/1120, Q4_K_M 0/1120 (BF16 master 0/1120, base model 804/1120). Built for security research, red-teaming and penetration-testing workflows; it will comply with requests a stock model refuses. Use responsibly. BF16 master: abliterated Qwen/Qwen3.8-27B with norm-preserving biprojection over 128 residual-writing matrices (pipeline in the master repository). Conversion: `convert_hf_to_gguf.py` (BF16 plus mmproj), quantization: `llama-quantize`. Validation: served with llama.cpp and re-evaluated on the house cross-eval before upload. Abliteration, conversion, quantization and validation by **Robert Ressl** (Hugging Face - Website - LinkedIn).
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。