qwen1.5-chat

• Context Length: 32768

• Model Name: qwen1.5-chat

• Languages: en, zh

• Abilities: chat, tools

• Description: Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data.

Specifications

Model Spec 1 (pytorch, 0_5 Billion)

• Model Format: pytorch

• Model Size (in billions): 0_5

• Quantizations: 4-bit, 8-bit, none

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

• Model ID: Qwen/Qwen1.5-0.5B-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 qwen1.5-chat --size-in-billions 0_5 --model-format pytorch --quantization ${quantization}

Model Spec 2 (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/Qwen1.5-1.8B-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 qwen1.5-chat --size-in-billions 1_8 --model-format pytorch --quantization ${quantization}

Model Spec 3 (pytorch, 4 Billion)

• Model Format: pytorch

• Model Size (in billions): 4

• Quantizations: 4-bit, 8-bit, none

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

• Model ID: Qwen/Qwen1.5-4B-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 qwen1.5-chat --size-in-billions 4 --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/Qwen1.5-7B-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 qwen1.5-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/Qwen1.5-14B-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 qwen1.5-chat --size-in-billions 14 --model-format pytorch --quantization ${quantization}

Model Spec 6 (pytorch, 32 Billion)

• Model Format: pytorch

• Model Size (in billions): 32

• Quantizations: 4-bit, 8-bit, none

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

• Model ID: Qwen/Qwen1.5-32B-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 qwen1.5-chat --size-in-billions 32 --model-format pytorch --quantization ${quantization}

Model Spec 7 (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/Qwen1.5-72B-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 qwen1.5-chat --size-in-billions 72 --model-format pytorch --quantization ${quantization}

Model Spec 8 (pytorch, 110 Billion)

• Model Format: pytorch

• Model Size (in billions): 110

• Quantizations: 4-bit, 8-bit, none

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

• Model ID: Qwen/Qwen1.5-110B-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 qwen1.5-chat --size-in-billions 110 --model-format pytorch --quantization ${quantization}

Model Spec 9 (gptq, 0_5 Billion)

• Model Format: gptq

• Model Size (in billions): 0_5

• Quantizations: Int4, Int8

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-0.5B-Chat-GPTQ-{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 qwen1.5-chat --size-in-billions 0_5 --model-format gptq --quantization ${quantization}

Model Spec 10 (gptq, 1_8 Billion)

• Model Format: gptq

• Model Size (in billions): 1_8

• Quantizations: Int4, Int8

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-1.8B-Chat-GPTQ-{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 qwen1.5-chat --size-in-billions 1_8 --model-format gptq --quantization ${quantization}

Model Spec 11 (gptq, 4 Billion)

• Model Format: gptq

• Model Size (in billions): 4

• Quantizations: Int4, Int8

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-4B-Chat-GPTQ-{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 qwen1.5-chat --size-in-billions 4 --model-format gptq --quantization ${quantization}

Model Spec 12 (gptq, 7 Billion)

• Model Format: gptq

• Model Size (in billions): 7

• Quantizations: Int4, Int8

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-7B-Chat-GPTQ-{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 qwen1.5-chat --size-in-billions 7 --model-format gptq --quantization ${quantization}

Model Spec 13 (gptq, 14 Billion)

• Model Format: gptq

• Model Size (in billions): 14

• Quantizations: Int4, Int8

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-14B-Chat-GPTQ-{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 qwen1.5-chat --size-in-billions 14 --model-format gptq --quantization ${quantization}

Model Spec 14 (gptq, 32 Billion)

• Model Format: gptq

• Model Size (in billions): 32

• Quantizations: Int4

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-32B-Chat-GPTQ-{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 qwen1.5-chat --size-in-billions 32 --model-format gptq --quantization ${quantization}

Model Spec 15 (gptq, 72 Billion)

• Model Format: gptq

• Model Size (in billions): 72

• Quantizations: Int4, Int8

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-72B-Chat-GPTQ-{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 qwen1.5-chat --size-in-billions 72 --model-format gptq --quantization ${quantization}

Model Spec 16 (gptq, 110 Billion)

• Model Format: gptq

• Model Size (in billions): 110

• Quantizations: Int4

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-110B-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-engine ${engine} --model-name qwen1.5-chat --size-in-billions 110 --model-format gptq --quantization ${quantization}

Model Spec 17 (awq, 0_5 Billion)

• Model Format: awq

• Model Size (in billions): 0_5

• Quantizations: Int4

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-0.5B-Chat-AWQ

• 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 qwen1.5-chat --size-in-billions 0_5 --model-format awq --quantization ${quantization}

Model Spec 18 (awq, 1_8 Billion)

• Model Format: awq

• Model Size (in billions): 1_8

• Quantizations: Int4

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-1.8B-Chat-AWQ

• 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 qwen1.5-chat --size-in-billions 1_8 --model-format awq --quantization ${quantization}

Model Spec 19 (awq, 4 Billion)

• Model Format: awq

• Model Size (in billions): 4

• Quantizations: Int4

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-4B-Chat-AWQ

• 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 qwen1.5-chat --size-in-billions 4 --model-format awq --quantization ${quantization}

Model Spec 20 (awq, 7 Billion)

• Model Format: awq

• Model Size (in billions): 7

• Quantizations: Int4

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-7B-Chat-AWQ

• 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 qwen1.5-chat --size-in-billions 7 --model-format awq --quantization ${quantization}

Model Spec 21 (awq, 14 Billion)

• Model Format: awq

• Model Size (in billions): 14

• Quantizations: Int4

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-14B-Chat-AWQ

• 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 qwen1.5-chat --size-in-billions 14 --model-format awq --quantization ${quantization}

Model Spec 22 (awq, 32 Billion)

• Model Format: awq

• Model Size (in billions): 32

• Quantizations: Int4

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-32B-Chat-AWQ

• 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 qwen1.5-chat --size-in-billions 32 --model-format awq --quantization ${quantization}

Model Spec 23 (awq, 72 Billion)

• Model Format: awq

• Model Size (in billions): 72

• Quantizations: Int4

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-72B-Chat-AWQ

• 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 qwen1.5-chat --size-in-billions 72 --model-format awq --quantization ${quantization}

Model Spec 24 (awq, 110 Billion)

• Model Format: awq

• Model Size (in billions): 110

• Quantizations: Int4

• Engines: vLLM, Transformers, SGLang

• Model ID: Qwen/Qwen1.5-110B-Chat-AWQ

• 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 qwen1.5-chat --size-in-billions 110 --model-format awq --quantization ${quantization}

Model Spec 25 (ggufv2, 0_5 Billion)

• Model Format: ggufv2

• Model Size (in billions): 0_5

• Quantizations: q2_k, q3_k_m, q4_0, q4_k_m, q5_0, q5_k_m, q6_k, q8_0

• Engines: llama.cpp

• Model ID: Qwen/Qwen1.5-0.5B-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 qwen1.5-chat --size-in-billions 0_5 --model-format ggufv2 --quantization ${quantization}

Model Spec 26 (ggufv2, 1_8 Billion)

• Model Format: ggufv2

• Model Size (in billions): 1_8

• Quantizations: q2_k, q3_k_m, q4_0, q4_k_m, q5_0, q5_k_m, q6_k, q8_0

• Engines: llama.cpp

• Model ID: Qwen/Qwen1.5-1.8B-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 qwen1.5-chat --size-in-billions 1_8 --model-format ggufv2 --quantization ${quantization}

Model Spec 27 (ggufv2, 4 Billion)

• Model Format: ggufv2

• Model Size (in billions): 4

• Quantizations: q2_k, q3_k_m, q4_0, q4_k_m, q5_0, q5_k_m, q6_k, q8_0

• Engines: llama.cpp

• Model ID: Qwen/Qwen1.5-4B-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 qwen1.5-chat --size-in-billions 4 --model-format ggufv2 --quantization ${quantization}

Model Spec 28 (ggufv2, 7 Billion)

• Model Format: ggufv2

• Model Size (in billions): 7

• Quantizations: q2_k, q3_k_m, q4_0, q4_k_m, q5_0, q5_k_m, q6_k, q8_0

• Engines: llama.cpp

• Model ID: Qwen/Qwen1.5-7B-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 qwen1.5-chat --size-in-billions 7 --model-format ggufv2 --quantization ${quantization}

Model Spec 29 (ggufv2, 14 Billion)

• Model Format: ggufv2

• Model Size (in billions): 14

• Quantizations: q2_k, q3_k_m, q4_0, q4_k_m, q5_0, q5_k_m, q6_k, q8_0

• Engines: llama.cpp

• Model ID: Qwen/Qwen1.5-14B-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 qwen1.5-chat --size-in-billions 14 --model-format ggufv2 --quantization ${quantization}

Model Spec 30 (ggufv2, 32 Billion)

• Model Format: ggufv2

• Model Size (in billions): 32

• Quantizations: q2_k, q3_k_m, q4_0, q4_k_m, q5_0, q5_k_m, q6_k, q8_0

• Engines: llama.cpp

• Model ID: Qwen/Qwen1.5-32B-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 qwen1.5-chat --size-in-billions 32 --model-format ggufv2 --quantization ${quantization}

Model Spec 31 (ggufv2, 72 Billion)

• Model Format: ggufv2

• Model Size (in billions): 72

• Quantizations: q2_k, q3_k_m, q4_k_m

• Engines: llama.cpp

• Model ID: Qwen/Qwen1.5-72B-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 qwen1.5-chat --size-in-billions 72 --model-format ggufv2 --quantization ${quantization}