telechat#

  • Context Length: 8192

  • Model Name: telechat

  • Languages: en, zh

  • Abilities: chat

  • Description: The TeleChat is a large language model developed and trained by China Telecom Artificial Intelligence Technology Co., LTD. The 7B model base is trained with 1.5 trillion Tokens and 3 trillion Tokens and Chinese high-quality corpus.

Specifications#

Model Spec 1 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: Tele-AI/telechat-7B

  • 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 telechat --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 2 (gptq, 7 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 7

  • Quantizations: int4, int8

  • Engines: Transformers

  • Model ID: Tele-AI/telechat-7B-{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 telechat --size-in-billions 7 --model-format gptq --quantization ${quantization}

Model Spec 3 (pytorch, 12 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 12

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: Tele-AI/TeleChat-12B

  • 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 telechat --size-in-billions 12 --model-format pytorch --quantization ${quantization}

Model Spec 4 (gptq, 12 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 12

  • Quantizations: int4, int8

  • Engines: Transformers

  • Model ID: Tele-AI/TeleChat-12B-{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 telechat --size-in-billions 12 --model-format gptq --quantization ${quantization}

Model Spec 5 (pytorch, 52 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 52

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: Tele-AI/TeleChat-52B

  • 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 telechat --size-in-billions 52 --model-format pytorch --quantization ${quantization}