baichuan

• Context Length: 4096

• Model Name: baichuan

• Languages: en, zh

• Abilities: generate

• Description: Baichuan is an open-source Transformer based LLM that is trained on both Chinese and English data.

Specifications

Model Spec 1 (ggmlv3, 7 Billion)

• Model Format: ggmlv3

• Model Size (in billions): 7

• Quantizations: q2_K, q3_K_L, q3_K_M, q3_K_S, q4_0, q4_1, q4_K_M, q4_K_S, q5_0, q5_1, q5_K_M, q5_K_S, q6_K, q8_0

• Model ID: TheBloke/baichuan-llama-7B-GGML

• 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 baichuan --size-in-billions 7 --model-format ggmlv3 --quantization ${quantization}

Model Spec 2 (pytorch, 7 Billion)

• Model Format: pytorch

• Model Size (in billions): 7

• Quantizations: 4-bit, 8-bit, none

• Model ID: baichuan-inc/Baichuan-7B

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

Model Spec 3 (pytorch, 13 Billion)

• Model Format: pytorch

• Model Size (in billions): 13

• Quantizations: 4-bit, 8-bit, none

• Model ID: baichuan-inc/Baichuan-13B-Base

• 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 baichuan --size-in-billions 13 --model-format pytorch --quantization ${quantization}