Instructions to use openkg/knowlm-13b-diff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openkg/knowlm-13b-diff with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="openkg/knowlm-13b-diff")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("openkg/knowlm-13b-diff") model = AutoModelForCausalLM.from_pretrained("openkg/knowlm-13b-diff") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use openkg/knowlm-13b-diff with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "openkg/knowlm-13b-diff" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "openkg/knowlm-13b-diff", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/openkg/knowlm-13b-diff
- SGLang
How to use openkg/knowlm-13b-diff 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 "openkg/knowlm-13b-diff" \ --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": "openkg/knowlm-13b-diff", "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 "openkg/knowlm-13b-diff" \ --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": "openkg/knowlm-13b-diff", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use openkg/knowlm-13b-diff with Docker Model Runner:
docker model run hf.co/openkg/knowlm-13b-diff
Update README.md
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README.md
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<h2 id="7">6. Others</h2>
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<h3 id="7-1">6.1 Contributors
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Pretraining Data:Zhen Bi, Honghao Gui, Jing Chen, Runnan Fang
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Instruction data and Instruction tuning:Xiaohan Wang, Shengyu Mao
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Tool learning and Multimodal:Shuofei Qiao, Yixin Ou, Lei Li
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Model Editing and Safety:Yunzhi Yao, Peng Wang, Siyuan Cheng, Bozhong Tian, Mengru Wang, Zhoubo Li
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Model Testing and Deployment:Yinuo Jiang, Yuqi Zhu, Hongbin Ye, Zekun Xi, Xinrong Li
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<h3 id="7-2">6.2 Citation</h3>
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<h2 id="7">6. Others</h2>
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<h3 id="7-1">6.1 Contributors</h3>
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Ningyu Zhang, Haofen Wang, Xiang Chen, Jintian Zhang, Xiaozhuan Liang, Zhen Bi, Honghao Gui, Jing Chen, Runnan Fang, Xiaohan Wang, Shengyu Mao, Shuofei Qiao, Yixin Ou, Lei Li, Yunzhi Yao, Peng Wang, Siyuan Cheng, Bozhong Tian, Mengru Wang, Zhoubo Li, Yinuo Jiang, Yuqi Zhu, Hongbin Ye, Zekun Xi, Xinrong Li, Huajun Chen
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<h3 id="7-2">6.2 Citation</h3>
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