# Multi-precision Quantization

AceReason-Nemotron-7B is a large language model based on the Nemotron architecture with 7B parameters, offering multiple quantized versions to accommodate different hardware requirements.

Quantized version of Devstral-Small-2505, offering multiple precision options to adapt to different hardware requirements

Static quantized version of Sam-reason-S2.1, offering multiple quantization options to suit different hardware requirements

A collection of GGUF quantized versions of MagTie-v1-12B, created by merging pre-trained language models using mergekit, suitable for text generation tasks.

14B-parameter-scale mathematical reasoning large language model supporting chain-of-thought reasoning

GGUF quantized version of Gemma 3 12B, suitable for text generation tasks.

Chroma-GGUF is a collection of quantized models based on lodestones/Chroma, offering various precision levels to suit different hardware and performance requirements.

VISION-1 is a content moderation and safety classification model based on transformers, focusing on text classification tasks.

FLUX.1-Fill-dev is a text-to-image generation model based on FLUX technology, specializing in image inpainting tasks.

GGUF quantized version of Stable Diffusion 2.1, supporting multiple quantization precisions, suitable for text-to-image generation tasks.