qwen2.5-instruct-1m#

  • Context Length: 1010000

  • Model Name: qwen2.5-instruct-1m

  • Languages: en, zh

  • Abilities: chat

  • Description: Qwen2.5-1M is the long-context version of the Qwen2.5 series models, supporting a context length of up to 1M tokens.

Specifications#

Model Spec 1 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: Qwen/Qwen2.5-7B-Instruct-1M

  • 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 qwen2.5-instruct-1m --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 14 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 14

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: Qwen/Qwen2.5-14B-Instruct-1M

  • 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 qwen2.5-instruct-1m --size-in-billions 14 --model-format pytorch --quantization ${quantization}