Qwen3.6 27B Uncensored HauhauCS Aggressive MTP

Qwen 3

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released July 2026context N/A

A community-modified variant of Qwen3's 27B model with censorship filters removed and aggressive multi-token prediction enabled. The 'uncensored' modification means it will engage with content that the base model would typically decline, which comes with obvious responsibility trade-offs. The aggressive MTP setting prioritizes faster inference throughput at the cost of some output stability.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Coding

Strong

Multilingual

Strong

Factual Knowledge

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Qwen3.6 27B Uncensored HauhauCS Aggressive MTP

Qwen 3

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released July 2026context N/A

A community-modified variant of Qwen3's 27B model with censorship filters removed and aggressive multi-token prediction enabled. The 'uncensored' modification means it will engage with content that the base model would typically decline, which comes with obvious responsibility trade-offs. The aggressive MTP setting prioritizes faster inference throughput at the cost of some output stability.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Coding

Strong

Multilingual

Strong

Factual Knowledge

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Glossary

Base ModelA pretrained model that completes text patterns but hasn't been trained to follow instructions, serving as a starting point for customization through fine-tuning.Community-ModifiedA model that has been altered or fine-tuned by users outside the original development team, often to change its behavior or capabilities.InferenceThe process of running a trained model to generate predictions or outputs from new inputs.Inference ThroughputThe number of predictions a model can generate per unit time, measuring inference speed.Multi-Token PredictionGenerating multiple future tokens in parallel instead of one at a time.Output StabilityThe consistency and reliability of a model's responses—stable models produce coherent, predictable outputs while unstable ones may generate inconsistent or degraded results.StabilityA mathematical property ensuring small changes in training data cause proportionally small changes in model outputs.ThroughputThe number of tokens a model can generate per second, measuring its processing speed.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.Token PredictionThe core task of predicting what word or subword (token) should come next in a sequence based on previous text.UncensoredA model without built-in safety filters or content restrictions, allowing it to generate responses on any topic without refusal.