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
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| 模型名称 | 隐含层维度 | 层数 | Query头数 | Key/Value头数 |词表大小 | 总参数量 | 训练数据(tokens) | 位置编码 | 最大长度 |
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| BatGPT-15B-sirius | 5,632 | 48 | 44 | 2 | 65,536 | 15,030,081,024 |
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The specific parameters of BatGPT-15B-sirius are as follows:
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| Model Name | Hidden Size | Num Layers | Query Heads | Key/Value Heads |Vocab Size | Total Params | Training Dats(tokens) | Position Embedding | Max Length |
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| BatGPT-15B-sirius | 5,632 | 48 | 44 | 2 | 65,536 | 15,030,081,024 |
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| 模型名称 | 隐含层维度 | 层数 | Query头数 | Key/Value头数 |词表大小 | 总参数量 | 训练数据(tokens) | 位置编码 | 最大长度 |
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| BatGPT-15B-sirius | 5,632 | 48 | 44 | 2 | 65,536 | 15,030,081,024 | 1T | [RoPE](https://arxiv.org/abs/2104.09864) | 32K |
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The specific parameters of BatGPT-15B-sirius are as follows:
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| Model Name | Hidden Size | Num Layers | Query Heads | Key/Value Heads |Vocab Size | Total Params | Training Dats(tokens) | Position Embedding | Max Length |
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| BatGPT-15B-sirius | 5,632 | 48 | 44 | 2 | 65,536 | 15,030,081,024 | 1T | [RoPE](https://arxiv.org/abs/2104.09864) | 32K |
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