qwen1.5-moe-chat

• Context Length: 32768

• Model Name: qwen1.5-moe-chat

• Languages: en, zh

• Abilities: chat

• Description: Qwen1.5-MoE is a transformer-based MoE decoder-only language model pretrained on a large amount of data.

Specifications

Model Spec 1 (pytorch, 2_7 Billion)

• Model Format: pytorch

• Model Size (in billions): 2_7

• Quantizations: 4-bit, 8-bit, none

• Model ID: Qwen/Qwen1.5-MoE-A2.7B-Chat

• 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-name qwen1.5-moe-chat --size-in-billions 2_7 --model-format pytorch --quantization ${quantization}

Model Spec 2 (gptq, 2_7 Billion)

• Model Format: gptq

• Model Size (in billions): 2_7

• Quantizations: Int4

• Model ID: Qwen/Qwen1.5-MoE-A2.7B-Chat-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-name qwen1.5-moe-chat --size-in-billions 2_7 --model-format gptq --quantization ${quantization}