Instructions to use Tele-AI/TeleChat-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tele-AI/TeleChat-1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Tele-AI/TeleChat-1B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Tele-AI/TeleChat-1B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Tele-AI/TeleChat-1B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Tele-AI/TeleChat-1B" # 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-1B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Tele-AI/TeleChat-1B
- SGLang
How to use Tele-AI/TeleChat-1B 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-1B" \ --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-1B", "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-1B" \ --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-1B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Tele-AI/TeleChat-1B with Docker Model Runner:
docker model run hf.co/Tele-AI/TeleChat-1B
File size: 912 Bytes
a7e1bab | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | {
"name_or_path": "ChinaTelecom/telechat3-7b",
"tokenizer_class": "TelechatTokenizer",
"auto_map": {
"AutoTokenizer": [
"tokenization_telechat3.TelechatTokenizer",
null
]
},
"add_bos_token": false,
"add_eos_token": false,
"use_fast": false,
"clean_up_tokenization_spaces": false,
"eos_token": {
"__type": "AddedToken",
"content": "<_start>",
"lstrip": false,
"normalized": true,
"rstrip": false,
"single_word": true
},
"model_max_length": 100000000,
"sp_model_kwargs": {},
"pad_token": {
"__type": "AddedToken",
"content": "<_pad>",
"lstrip": false,
"normalized": true,
"rstrip": false,
"single_word": true
},
"unk_token": {
"__type": "AddedToken",
"content": "<_end>",
"lstrip": false,
"normalized": true,
"rstrip": false,
"single_word": true
}
}
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