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aquila2-chat-16k#

  • Context Length: 16384

  • Model Name: aquila2-chat-16k

  • Languages: zh

  • Abilities: chat

  • Description: AquilaChat2-16k series models are the long-text chat models

Specifications#

Model Spec 1 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: none

  • Model ID: BAAI/AquilaChat2-7B-16K

  • 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 aquila2-chat-16k --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

  • Model ID: TheBloke/AquilaChat2-34B-16K-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 aquila2-chat-16k --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

  • Model ID: TheBloke/AquilaChat2-34B-16K-GPTQ

  • 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 aquila2-chat-16k --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

  • Model ID: TheBloke/AquilaChat2-34B-16K-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-name aquila2-chat-16k --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

  • Model ID: BAAI/AquilaChat2-34B-16K

  • 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 aquila2-chat-16k --size-in-billions 34 --model-format pytorch --quantization ${quantization}
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