aquila2-chat#

Context Length: 2048
Model Name: aquila2-chat
Languages: zh
Abilities: chat
Description: Aquila2-chat series models are the chat models

Specifications#

Model Spec 1 (pytorch, 7 Billion)#

Model Format: pytorch
Model Size (in billions): 7
Quantizations: none
Engines: Transformers
Model ID: BAAI/AquilaChat2-7B
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-engine ${engine} --model-name aquila2-chat --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 2 (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
Engines: llama.cpp
Model ID: TheBloke/AquilaChat2-34B-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 aquila2-chat --size-in-billions 34 --model-format ggufv2 --quantization ${quantization}

Model Spec 3 (gptq, 34 Billion)#

Model Format: gptq
Model Size (in billions): 34
Quantizations: Int4
Engines: Transformers
Model ID: TheBloke/AquilaChat2-34B-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 aquila2-chat --size-in-billions 34 --model-format gptq --quantization ${quantization}

Model Spec 4 (awq, 34 Billion)#

Model Format: awq
Model Size (in billions): 34
Quantizations: Int4
Engines: Transformers
Model ID: TheBloke/AquilaChat2-34B-AWQ
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 aquila2-chat --size-in-billions 34 --model-format awq --quantization ${quantization}

Model Spec 5 (pytorch, 34 Billion)#

Model Format: pytorch
Model Size (in billions): 34
Quantizations: none
Engines: Transformers
Model ID: BAAI/AquilaChat2-34B
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 aquila2-chat --size-in-billions 34 --model-format pytorch --quantization ${quantization}

Model Spec 6 (pytorch, 70 Billion)#

Model Format: pytorch
Model Size (in billions): 70
Quantizations: none
Engines: Transformers
Model ID: BAAI/AquilaChat2-70B-Expr
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 aquila2-chat --size-in-billions 70 --model-format pytorch --quantization ${quantization}