# Multiple quantization versions

The LongWriter-Zero-32B quantized model is based on the THU-KEG/LongWriter-Zero-32B base model, supports both Chinese and English, and is suitable for long context scenarios such as reinforcement learning and writing.

Quantized version of ICONN-1, offering multiple quantization options to meet different performance and quality requirements

The GGUF format version of the Wan2.1-VACE-14B model, mainly used for text-to-video generation tasks.

A 7B-parameter multilingual text embedding model developed by Alibaba NLP team, specializing in sentence similarity tasks, offering multiple quantization versions

Chinese abstract generation model based on mT5 architecture, offering multiple quantization versions

The Llamacpp imatrix quantization version of Deepthink-Reasoning-7B, offering multiple quantization types to meet different hardware requirements.

The Llamacpp imatrix quantization version of Aion-RP-Llama-3.1-8B, offering multiple quantization options to meet different hardware requirements.

Stable Diffusion 3.5 Large is a powerful text-to-image generation model based on diffusion model architecture, capable of producing high-quality images from text descriptions.

Qwen2.5-Coder-1.5B is a code generation model with 1.5B parameters, supporting multiple programming languages and suitable for code completion and generation tasks.

An 8B-parameter unaligned beta model based on the LLaMA-3 architecture, offering multiple quantization versions to suit different hardware needs

Llamacpp imatrix quantized version of WizardLM-2-7B-abliterated, offering multiple quantization options for different hardware configurations.

Orcamaid v3 13B 32K is a large language model based on the Llama architecture, supporting a sequence length of 32K and suitable for text generation tasks.

Opus V0 7B is a 7B-parameter language model based on the Mistral architecture, developed by DreamGen, focusing on text generation tasks.