Yi-1.5-chat#

  • Context Length: 4096

  • Model Name: Yi-1.5-chat

  • Languages: en, zh

  • Abilities: chat

  • Description: Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples.

Specifications#

Model Spec 1 (pytorch, 6 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 6

  • Quantizations: 4-bit, 8-bit, none

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

  • Model ID: 01-ai/Yi-1.5-6B-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 Yi-1.5-chat --size-in-billions 6 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 9 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 9

  • Quantizations: 4-bit, 8-bit, none

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

  • Model ID: 01-ai/Yi-1.5-9B-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 Yi-1.5-chat --size-in-billions 9 --model-format pytorch --quantization ${quantization}

Model Spec 3 (pytorch, 34 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 34

  • Quantizations: 4-bit, 8-bit, none

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

  • Model ID: 01-ai/Yi-1.5-34B-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 Yi-1.5-chat --size-in-billions 34 --model-format pytorch --quantization ${quantization}

Model Spec 4 (ggufv2, 6 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 6

  • Quantizations: Q3_K_L, Q4_K_M, Q5_K_M, Q6_K, Q8_0, f32

  • Engines: llama.cpp

  • Model ID: lmstudio-community/Yi-1.5-6B-Chat-GGUF

  • Model Hubs: Hugging Face

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 Yi-1.5-chat --size-in-billions 6 --model-format ggufv2 --quantization ${quantization}

Model Spec 5 (ggufv2, 9 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 9

  • Quantizations: Q3_K_L, Q4_K_M, Q5_K_M, Q6_K, Q8_0, f32

  • Engines: llama.cpp

  • Model ID: lmstudio-community/Yi-1.5-9B-Chat-GGUF

  • Model Hubs: Hugging Face

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 Yi-1.5-chat --size-in-billions 9 --model-format ggufv2 --quantization ${quantization}

Model Spec 6 (ggufv2, 34 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 34

  • Quantizations: Q2_K, Q3_K_L, Q4_K_M, Q5_K_M, Q6_K, Q8_0

  • Engines: llama.cpp

  • Model ID: lmstudio-community/Yi-1.5-34B-Chat-GGUF

  • Model Hubs: Hugging Face

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 Yi-1.5-chat --size-in-billions 34 --model-format ggufv2 --quantization ${quantization}

Model Spec 7 (gptq, 6 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 6

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: modelscope/Yi-1.5-6B-Chat-GPTQ

  • 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 Yi-1.5-chat --size-in-billions 6 --model-format gptq --quantization ${quantization}

Model Spec 8 (gptq, 9 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 9

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: modelscope/Yi-1.5-9B-Chat-GPTQ

  • 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 Yi-1.5-chat --size-in-billions 9 --model-format gptq --quantization ${quantization}

Model Spec 9 (gptq, 34 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 34

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: modelscope/Yi-1.5-34B-Chat-GPTQ

  • 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 Yi-1.5-chat --size-in-billions 34 --model-format gptq --quantization ${quantization}

Model Spec 10 (awq, 6 Billion)#

  • Model Format: awq

  • Model Size (in billions): 6

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: modelscope/Yi-1.5-6B-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 Yi-1.5-chat --size-in-billions 6 --model-format awq --quantization ${quantization}

Model Spec 11 (awq, 9 Billion)#

  • Model Format: awq

  • Model Size (in billions): 9

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: modelscope/Yi-1.5-9B-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 Yi-1.5-chat --size-in-billions 9 --model-format awq --quantization ${quantization}

Model Spec 12 (awq, 34 Billion)#

  • Model Format: awq

  • Model Size (in billions): 34

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: modelscope/Yi-1.5-34B-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 Yi-1.5-chat --size-in-billions 34 --model-format awq --quantization ${quantization}