Yi-chat#

  • Context Length: 4096

  • Model Name: Yi-chat

  • Languages: en, zh

  • Abilities: chat

  • Description: The Yi series models are large language models trained from scratch by developers at 01.AI.

Specifications#

Model Spec 1 (gptq, 34 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 34

  • Quantizations: 8bits

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

Model Spec 2 (pytorch, 6 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 6

  • Quantizations: 4-bit, 8-bit, none

  • Model ID: 01-ai/Yi-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-name Yi-chat --size-in-billions 6 --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

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

Model Spec 4 (ggufv2, 34 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 34

  • Quantizations: Q2_K, Q3_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_K_M, Q4_K_S, Q5_0, Q5_K_M, Q5_K_S, Q6_K, Q8_0

  • Model ID: TheBloke/Yi-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-name Yi-chat --size-in-billions 34 --model-format ggufv2 --quantization ${quantization}