Kimi-K2.5#

  • Context Length: 262144

  • Model Name: Kimi-K2.5

  • Languages: en, zh

  • Abilities: chat, vision

  • Description: Kimi K2.5 is an open-source, native multimodal agentic model built through continual pretraining on approximately 15 trillion mixed visual and text tokens atop Kimi-K2-Base. It seamlessly integrates vision and language understanding with advanced agentic capabilities, instant and thinking modes, as well as conversational and agentic paradigms.

Specifications#

Model Spec 1 (pytorch, 1058_59 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 1058_59

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: moonshotai/Kimi-K2.5

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name Kimi-K2.5 --size-in-billions 1058_59 --model-format pytorch --quantization ${quantization}

Model Spec 2 (ggufv2, 1058_59 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 1058_59

  • Quantizations: none

  • Engines: llama.cpp

  • Model ID: unsloth/Kimi-K2.5-GGUF

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name Kimi-K2.5 --size-in-billions 1058_59 --model-format ggufv2 --quantization ${quantization}

Model Spec 3 (mlx, 1058_59 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 1058_59

  • Quantizations: 3bit

  • Engines: MLX

  • Model ID: mlx-community/Kimi-K2.5-{quantization}

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name Kimi-K2.5 --size-in-billions 1058_59 --model-format mlx --quantization ${quantization}