qwen2-moe-instruct#

  • Context Length: 32768

  • Model Name: qwen2-moe-instruct

  • Languages: en, zh

  • Abilities: chat, tools

  • 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, SGLang (vLLM and SGLang 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, SGLang

  • 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}

Model Spec 3 (ggufv2, 14 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 14

  • Quantizations: q3_k_m, q4_0, q4_k_m, q5_0, q5_k_m, q6_k, q8_0, fp16

  • Engines: llama.cpp

  • Model ID: Qwen/Qwen2-57B-A14B-Instruct-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 qwen2-moe-instruct --size-in-billions 14 --model-format ggufv2 --quantization ${quantization}