chatglm3-ggml
This repo contains GGML format model files for chatglm3-6B.
Example code
Install packages
pip install xinference[ggml]>=0.4.3
If you want to run with GPU acceleration, refer to installation.
Start a local instance of Xinference
xinference -p 9997
Launch and inference
from xinference.client import Client
client = Client("http://localhost:9997")
model_uid = client.launch_model(
model_name="chatglm3",
model_format="ggmlv3",
model_size_in_billions=6,
quantization="q4_0",
)
model = client.get_model(model_uid)
chat_history = []
prompt = "最大的动物是什么？"
model.chat(
prompt,
chat_history,
generate_config={"max_tokens": 1024}
)
More information
Xinference Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you are empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
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