Text Generation
Transformers
PyTorch
Chinese
English
batgpt
feature-extraction
BatGPT
MLP
custom_code
Instructions to use MYTH-Lab/BatGPT-15B-sirius with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MYTH-Lab/BatGPT-15B-sirius with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MYTH-Lab/BatGPT-15B-sirius", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MYTH-Lab/BatGPT-15B-sirius", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use MYTH-Lab/BatGPT-15B-sirius with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MYTH-Lab/BatGPT-15B-sirius" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MYTH-Lab/BatGPT-15B-sirius", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MYTH-Lab/BatGPT-15B-sirius
- SGLang
How to use MYTH-Lab/BatGPT-15B-sirius 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 "MYTH-Lab/BatGPT-15B-sirius" \ --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": "MYTH-Lab/BatGPT-15B-sirius", "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 "MYTH-Lab/BatGPT-15B-sirius" \ --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": "MYTH-Lab/BatGPT-15B-sirius", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MYTH-Lab/BatGPT-15B-sirius with Docker Model Runner:
docker model run hf.co/MYTH-Lab/BatGPT-15B-sirius
| { | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenization_batgpt.BatGPTTokenizer", | |
| null | |
| ] | |
| }, | |
| "clean_up_tokenization_spaces": true, | |
| "do_lower_case": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "padding_side": "left", | |
| "remove_space": false, | |
| "tokenizer_class": "BatGPTTokenizer" | |
| } | |