Qwen3.6 35B A3B Uncensored HauhauCS Aggressive NVFP4

Qwen3.6

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

Released April 2026context N/A35B params

A community-modified variant of Qwen3.6 with safety filters removed and aggressive quantization applied (NVFP4 format), meaning it trades some precision for reduced memory footprint. It accepts both text and image inputs, reflecting the base model's multimodal capabilities. The 'uncensored' and 'aggressive' labels signal that this is a heavily customized derivative — behavior and output quality may differ noticeably from the original Qwen3.6 foundation.

Capabilities

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

Instruction Following

Moderate

Long Context

Qwen3.6 35B A3B Uncensored HauhauCS Aggressive NVFP4

Qwen3.6

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

Released April 2026context N/A35B params

A community-modified variant of Qwen3.6 with safety filters removed and aggressive quantization applied (NVFP4 format), meaning it trades some precision for reduced memory footprint. It accepts both text and image inputs, reflecting the base model's multimodal capabilities. The 'uncensored' and 'aggressive' labels signal that this is a heavily customized derivative — behavior and output quality may differ noticeably from the original Qwen3.6 foundation.

Capabilities

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

Instruction Following

Moderate

Long Context

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.Memory FootprintThe amount of RAM or storage space a model requires to run, which is critical for deployment on resource-constrained devices.MultimodalA model that can process and understand multiple types of input, such as both text and images.PrecisionThe level of numerical detail a model uses to represent its internal values; higher precision means more accurate calculations but requires more memory.QuantizationReducing a model's numerical precision (e.g., from 16-bit to 4-bit) to shrink memory usage and speed up inference.Safety FiltersBuilt-in constraints that prevent a model from generating harmful, offensive, or inappropriate content in its responses.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