Qwen 3.8 27B Uncensored (Thinking)
This abliterated community variant of Qwen 3.8 27B removes safety Refusals from the weights, making it usable for security research and red-teaming — at an MMLU loss of around two points according to the developer. Locally operable under Apache-2.0, with a 262,000-token context and image and video input.
- Open Weights
- Workstation
- vLLM
- Text
- Uncensored
- Vision
- Unusable
Sovereign Risk: MEDIUM The base weights originate from Alibaba in China, which represents a provenance and supply-chain risk for regulated environments. This card, however, describes a locally operated, Apache-2.0-based OrcaRouter derivative variant with abliterated weights and NVFP4/FP8 quantization. Without cloud egress, the practical risk is lower than with API usage, but remains moderate due to the Chinese provenance and community modification.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 79.65
- Routine
- 48.16
- Reasoning
- 31.48
- LLM Judge Avg
- 4.07 / 5
- 100 Coverage
- Avg Task Duration
- 129.88s
- Unusable
- Token Rate
- 16.56tok/s
- Output Rate
- P95 Latency
- 315.76s
- Top 5 %
- Total Tokens
- 135300
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 135300 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median