Instructions to use Tele-AI/TeleChat-12B-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tele-AI/TeleChat-12B-int8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Tele-AI/TeleChat-12B-int8", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Tele-AI/TeleChat-12B-int8", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Tele-AI/TeleChat-12B-int8 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Tele-AI/TeleChat-12B-int8" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Tele-AI/TeleChat-12B-int8", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Tele-AI/TeleChat-12B-int8
- SGLang
How to use Tele-AI/TeleChat-12B-int8 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Tele-AI/TeleChat-12B-int8" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Tele-AI/TeleChat-12B-int8", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Tele-AI/TeleChat-12B-int8" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Tele-AI/TeleChat-12B-int8", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Tele-AI/TeleChat-12B-int8 with Docker Model Runner:
docker model run hf.co/Tele-AI/TeleChat-12B-int8
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🤗 <a href="https://huggingface.co/Tele-AI" target="_blank">Hugging Face</a> • 🏔 <a href="https://
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# 最新动态
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- 2024.3.20 开源12B版本chat模型及量化版本
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- 2024.1.11 开源1T中文数据集
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🤗 <a href="https://huggingface.co/Tele-AI" target="_blank">Hugging Face</a> • 🏔 <a href="" target="_blank">MindSpore</a>️ • 🦉 <a href="https://github.com/Tele-AI/Telechat" target="_blank">github</a>️ • 🐾 <a href="https://gitee.com/Tele-AI/tele-chat" target="_blank">gitee</a>️ • 💬 <a href="https://github.com/Tele-AI/Telechat/blob/master/images/wechat.jpg" target="_blank">WeChat</a>
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<a href="https://arxiv.org/abs/2401.03804" target="_blank"> Tech Report </a>
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# 最新动态
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- 2024.3.20 开源12B版本chat模型及量化版本
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- 2024.1.11 开源1T中文数据集
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