qwen2-moe-instruct

• Context Length: 32768

• Model Name: qwen2-moe-instruct

• Languages: en, zh

• Abilities: chat

• Description: Qwen2 is the new series of Qwen large language models.

Specifications

Model Spec 1 (pytorch, 14 Billion)

• Model Format: pytorch

• Model Size (in billions): 14

• Quantizations: 4-bit, 8-bit, none

• Engines: vLLM, Transformers (vLLM only available for quantization none)

• Model ID: Qwen/Qwen2-57B-A14B-Instruct

• 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-moe-instruct --size-in-billions 14 --model-format pytorch --quantization ${quantization}

Model Spec 2 (gptq, 14 Billion)

• Model Format: gptq

• Model Size (in billions): 14

• Quantizations: Int4

• Engines: vLLM, Transformers

• Model ID: Qwen/Qwen2-57B-A14B-Instruct-GPTQ-Int4

• 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-moe-instruct --size-in-billions 14 --model-format gptq --quantization ${quantization}