Gemma4 12B QAT Uncensored HauhauCS Balanced

gemma

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

Released June 2026context N/A

A community fine-tune of Google's Gemma 4 12B with quantization-aware training, built for local deployment via GGUF. The 'uncensored' and 'balanced' tuning means it applies fewer content restrictions than the base model while aiming to preserve general capability. It accepts both text and image inputs, making it multimodal at a locally-runnable scale.

Capabilities

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

Creative Writing

Strong

Instruction Following

Moderate

Multilingual

Use Case Fit

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

Gemma4 12B QAT Uncensored HauhauCS Balanced

gemma

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

Released June 2026context N/A

A community fine-tune of Google's Gemma 4 12B with quantization-aware training, built for local deployment via GGUF. The 'uncensored' and 'balanced' tuning means it applies fewer content restrictions than the base model while aiming to preserve general capability. It accepts both text and image inputs, making it multimodal at a locally-runnable scale.

Capabilities

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

Creative Writing

Strong

Instruction Following

Moderate

Multilingual

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 Fine-TuneA model variant created and shared by the community rather than the original model creators, often with custom modifications.Content RestrictionsSafety guidelines and filters built into a model to prevent it from generating harmful, illegal, or unethical content.Fine-TuneA model created by training an existing pre-trained model on new data to specialize it for specific tasks or behaviors.GGUFA file format for quantized models designed for efficient CPU and GPU inference with llama.cpp.Local DeploymentRunning a model directly on your own computer or server instead of sending requests to a remote service.MultimodalA model that can process and understand multiple types of input, such as both text and images.QuantizationReducing a model's numerical precision (e.g., from 16-bit to 4-bit) to shrink memory usage and speed up inference.Quantization-Aware TrainingA training technique where a model learns to maintain performance even when its weights are compressed to use less memory and compute.UncensoredA model without built-in safety filters or content restrictions, allowing it to generate responses on any topic without refusal.