Sponsored by
APIMaster
internlm / internlm2-chat-7b-4bits
Model's Last Updated: April 24 2024
text-generation
Introduction of internlm2-chat-7b-4bits
Model Details of internlm2-chat-7b-4bits
INT4 Weight-only Quantization and Deployment (W4A16)
LMDeploy adopts AWQ algorithm for 4bit weight-only quantization. By developed the high-performance cuda kernel, the 4bit quantized model inference achieves up to 2.4x faster than FP16.
LMDeploy supports the following NVIDIA GPU for W4A16 inference:
-
Turing(sm75): 20 series, T4
-
Ampere(sm80,sm86): 30 series, A10, A16, A30, A100
-
Ada Lovelace(sm90): 40 series
Before proceeding with the quantization and inference, please ensure that lmdeploy is installed.
pip install lmdeploy[all]
This article comprises the following sections:
Inference
Trying the following codes, you can perform the batched offline inference with the quantized model:
from lmdeploy import pipeline, TurbomindEngineConfig
engine_config = TurbomindEngineConfig(model_format='awq')
pipe = pipeline("internlm/internlm2-chat-7b-4bits", backend_config=engine_config)
response = pipe(["Hi, pls intro yourself", "Shanghai is"])
print(response)
For more information about the pipeline parameters, please refer to here .
Evaluation
Please overview this guide about model evaluation with LMDeploy.
Service
LMDeploy's
api_server
enables models to be easily packed into services with a single command. The provided RESTful APIs are compatible with OpenAI's interfaces. Below are an example of service startup:
lmdeploy serve api_server internlm/internlm2-chat-7b-4bits --backend turbomind --model-format awq
The default port of
api_server
is
23333
. After the server is launched, you can communicate with server on terminal through
api_client
:
lmdeploy serve api_client http://0.0.0.0:23333
You can overview and try out
api_server
APIs online by swagger UI at
http://0.0.0.0:23333
, or you can also read the API specification from
here
.
Runs of internlm internlm2-chat-7b-4bits on huggingface.co
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More Information About internlm2-chat-7b-4bits huggingface.co Model
Url of internlm2-chat-7b-4bits
internlm2-chat-7b-4bits huggingface.co Url
Provider of internlm2-chat-7b-4bits huggingface.co
Other API from internlm
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