This model is an MLX format conversion version of Kimi-Linear-48B-A3B-Instruct, optimized for Apple Silicon devices such as the Apple Mac Studio. It is a large language model with 48 billion parameters, supporting instruction following and suitable for local inference and conversation tasks.

Natural Language ProcessingMlx

This is a high-performance 4-bit quantized version of the Kimi K2 Instruct model, optimized for running on Apple Silicon (M1/M2/M3/M4) Macs using the MLX framework. The model has 671 billion parameters, supports a 128K context window, and achieves an excellent balance between quality and efficiency, making it an ideal choice for most practical deployments.

Natural Language ProcessingMlxMultiple Languages

This is the MLX format conversion version of the Qwen3-Next-80B-A3B-Thinking model, specifically optimized for Apple Silicon. This model is a large language model with 80 billion parameters, supporting chain of thought reasoning ability. It has been quantized to 8-bit precision to improve the running efficiency on Mac devices.

Natural Language ProcessingMlx

This is the GGUF format version of the unsloth/Qwen3-30B-A3B-Instruct-2507 model, quantized by machines provided by TensorBlock. This model is a large language model with 30 billion parameters, specifically optimized for instruction following tasks and supporting multiple languages such as Chinese and English.

Natural Language ProcessingTransformers