Instructions to use Invalid-Null/PeiYangMe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Invalid-Null/PeiYangMe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Invalid-Null/PeiYangMe")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Invalid-Null/PeiYangMe") model = AutoModelForCausalLM.from_pretrained("Invalid-Null/PeiYangMe") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Invalid-Null/PeiYangMe with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Invalid-Null/PeiYangMe" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Invalid-Null/PeiYangMe", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Invalid-Null/PeiYangMe
- SGLang
How to use Invalid-Null/PeiYangMe 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 "Invalid-Null/PeiYangMe" \ --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": "Invalid-Null/PeiYangMe", "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 "Invalid-Null/PeiYangMe" \ --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": "Invalid-Null/PeiYangMe", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Invalid-Null/PeiYangMe with Docker Model Runner:
docker model run hf.co/Invalid-Null/PeiYangMe
北洋微衍V0.9/PeiYang MicroEmergence-0.9
模型曾用名 / Model Name History
此模型在开发过程中经历了以下命名阶段: This model has gone through the following naming stages during development:
早期阶段 / Initial Stage:
Invalid-Null/Non-Null发展阶段 / Development Stage:
天津大学/北洋微衍 (Tianjin University/Peiyang MicroDerivation)当前版本 / Current Release:
天津大学/北洋微衍 (Tianjin University/Peiyang MicroEmergence)
模型概述 / Model Overview
本模型专注于计算催化领域,特别是丙烷脱氢(PDH)过程。 This model focuses on computational catalysis, specifically designed for propane dehydrogenation (PDH) processes.
技术基础 / Technical Foundation
基础框架 / Base Framework:
基于ModelScope的ms-swift框架开发 Developed using ModelScope's ms-swift framework基础模型 / Base Model:
基于零一万物的Yi系列6B模型训练,包括yi-6B、yi-6B-chat、yi-1.5-6B、yi-1.5-6B-chat Fine-tuned on 01.AI's Yi-6B series model, including yi-6B, yi-6B-chat, yi-1.5-6B and yi-1.5-6B-chat
当前状态 / Current Status
详细的技术规格和性能指标将在相关研究论文发表后提供。 Detailed technical specifications and performance metrics will be available upon publication of our research paper.
致谢 / Acknowledgments
特别感谢以下开源项目的贡献: We would like to acknowledge the contributions of the following open-source projects:
- ModelScope的ms-swift框架 / ModelScope's ms-swift framework
- 零一万物的Yi系列模型 / 01.AI's Yi series models
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Model tree for Invalid-Null/PeiYangMe
Base model
01-ai/Yi-1.5-6B