qwen-chat#

  • Context Length: 32768

  • Model Name: qwen-chat

  • Languages: en, zh

  • Abilities: chat

  • Description: Qwen-chat is a fine-tuned version of the Qwen LLM trained with alignment techniques, specializing in chatting.

Specifications#

Model Spec 1 (ggufv2, 7 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 7

  • Quantizations: Q4_K_M

  • Engines: llama.cpp

  • Model ID: Xorbits/Qwen-7B-Chat-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 qwen-chat --size-in-billions 7 --model-format ggufv2 --quantization ${quantization}

Model Spec 2 (ggufv2, 14 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 14

  • Quantizations: Q4_K_M

  • Engines: llama.cpp

  • Model ID: Xorbits/Qwen-14B-Chat-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 qwen-chat --size-in-billions 14 --model-format ggufv2 --quantization ${quantization}

Model Spec 3 (pytorch, 1_8 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 1_8

  • Quantizations: 4-bit, 8-bit, none

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

  • Model ID: Qwen/Qwen-1_8B-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-engine ${engine} --model-name qwen-chat --size-in-billions 1_8 --model-format pytorch --quantization ${quantization}

Model Spec 4 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: 4-bit, 8-bit, none

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

  • Model ID: Qwen/Qwen-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-engine ${engine} --model-name qwen-chat --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 5 (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/Qwen-14B-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-engine ${engine} --model-name qwen-chat --size-in-billions 14 --model-format pytorch --quantization ${quantization}

Model Spec 6 (pytorch, 72 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 72

  • Quantizations: 4-bit, 8-bit, none

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

  • Model ID: Qwen/Qwen-72B-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-engine ${engine} --model-name qwen-chat --size-in-billions 72 --model-format pytorch --quantization ${quantization}

Model Spec 7 (gptq, 7 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 7

  • Quantizations: Int4, Int8

  • Engines: vLLM, Transformers, SGLang

  • Model ID: Qwen/Qwen-7B-Chat-{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 qwen-chat --size-in-billions 7 --model-format gptq --quantization ${quantization}

Model Spec 8 (gptq, 1_8 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 1_8

  • Quantizations: Int4, Int8

  • Engines: vLLM, Transformers, SGLang

  • Model ID: Qwen/Qwen-1_8B-Chat-{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 qwen-chat --size-in-billions 1_8 --model-format gptq --quantization ${quantization}

Model Spec 9 (gptq, 14 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 14

  • Quantizations: Int4, Int8

  • Engines: vLLM, Transformers, SGLang

  • Model ID: Qwen/Qwen-14B-Chat-{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 qwen-chat --size-in-billions 14 --model-format gptq --quantization ${quantization}

Model Spec 10 (gptq, 72 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 72

  • Quantizations: Int4, Int8

  • Engines: vLLM, Transformers, SGLang

  • Model ID: Qwen/Qwen-72B-Chat-{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 qwen-chat --size-in-billions 72 --model-format gptq --quantization ${quantization}