Qwen3.5 35B A3B Uncensored HauhauCS Aggressive

Qwen3.5

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

Released March 2026context N/A35B params

A heavily modified, uncensored variant of Qwen3.5 35B with aggressive fine-tuning applied by HauhauCS. It operates with significantly reduced content filtering, meaning it will engage with topics and requests that standard models decline — a double-edged trait that demands careful deployment context. The mixture-of-experts architecture activates only 3B parameters per forward pass despite the 35B total, keeping inference lean.

Capabilities

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

Instruction Following

Strong

Reasoning & Logic

Qwen3.5 35B A3B Uncensored HauhauCS Aggressive

Qwen3.5

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

Released March 2026context N/A35B params

A heavily modified, uncensored variant of Qwen3.5 35B with aggressive fine-tuning applied by HauhauCS. It operates with significantly reduced content filtering, meaning it will engage with topics and requests that standard models decline — a double-edged trait that demands careful deployment context. The mixture-of-experts architecture activates only 3B parameters per forward pass despite the 35B total, keeping inference lean.

Capabilities

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

Instruction Following

Strong

Reasoning & Logic

Glossary

ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.Content FilteringSafety mechanisms built into a model that prevent it from generating harmful, inappropriate, or restricted content.Fine-TuningThe process of further training a pre-trained model on new data to adapt it for specific tasks or domains.Forward PassA single computation cycle where input data flows through the model's layers to produce an output prediction.InferenceThe process of running a trained model to generate predictions or outputs from new inputs.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.UncensoredA model without built-in safety filters or content restrictions, allowing it to generate responses on any topic without refusal.

Capabilities

Capabilities

Use Case Fit

Glossary