Yi-1.5#
Context Length: 4096
Model Name: Yi-1.5
Languages: en, zh
Abilities: generate
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
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 --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
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 --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
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 --size-in-billions 34 --model-format pytorch --quantization ${quantization}