# Multi-precision Adaptation

The GGUF quantized version of Qwen2.5-Coder-1.5B, optimized for code generation tasks, offering multiple quantization options to balance performance and resource consumption.

Llamacpp imatrix quantized version based on WhiteRabbitNeo-V3-7B, specializing in cybersecurity and DevOps tasks with code generation support.

Multiple quantized versions based on Google Gemma 3B QAT weights, suitable for local inference deployment

QVQ-72B-Preview is a multimodal large language model based on the imatrix quantization version of llamacpp, supporting multimodal understanding and generation of images and text.

A statically quantized model based on Menlo/Ichigo-llama3.1-s-instruct-v0.4, offering multiple quantization versions to suit different hardware requirements.

Phi-3.5-mini-instruct_Uncensored is a quantized language model suitable for use under various hardware conditions.