# 72B Large Model

Kimi-Dev-72B-8bit is an 8-bit quantized version converted from moonshotai/Kimi-Dev-72B, a text generation model suitable for the MLX framework.

Kimi-Dev-72B-4bit-DWQ is a 4-bit quantized large language model converted from moonshotai/Kimi-Dev-72B, suitable for the MLX framework.

Kimi-Dev-72B-4bit is a 4-bit quantized large language model converted from moonshotai/Kimi-Dev-72B and optimized for the MLX framework.

Kimi-Dev-72B-5bit is a 5-bit quantized large language model converted from moonshotai/Kimi-Dev-72B, suitable for the MLX framework on Apple devices.

Kimi-Dev-72B is a large-scale language model developed by moonshotai. It is optimized through GGUF quantization and offers multiple quantization versions to meet different hardware requirements.

A quantized version based on the cognitivecomputations/Qwen3-72B-Embiggened model, quantized using llama.cpp, and can run efficiently in various environments.

VL-Rethinker-72B-4bit is a multimodal model based on Qwen2.5-VL-7B-Instruct, supporting visual question answering tasks, and has been converted to MLX format for efficient operation on Apple devices.

Quantized version based on Qwen2.5-72B-Instruct, processed with llama.cpp for various quantization levels, suitable for local inference

Rombos-LLM-V2.5-Qwen-72b is a continuously fine-tuned version of Qwen2.5-72B. It combines the instruction model and the base model through a specific method, showing better performance.

A model fine-tuned based on Qwen-2 72B Instruct, aiming to replicate the prose quality of Claude 3 models

ECE-TW3-JRGL-V5 is a new model obtained by merging the MoMo-72B-lora-1.8.7-DPO and alpaca-dragon-72b-v1 models through mergekit, integrating the advantages of multiple models.