Instructions to use LLM360/K2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LLM360/K2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="LLM360/K2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("LLM360/K2") model = AutoModelForCausalLM.from_pretrained("LLM360/K2") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use LLM360/K2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "LLM360/K2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LLM360/K2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/LLM360/K2
- SGLang
How to use LLM360/K2 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 "LLM360/K2" \ --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": "LLM360/K2", "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 "LLM360/K2" \ --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": "LLM360/K2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use LLM360/K2 with Docker Model Runner:
docker model run hf.co/LLM360/K2
Update README.md
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```bibtex
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@article{K2,
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title={LLM360 K2-65B: Scaling Up Fully Transparent Open-Source LLMs},
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author={
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year={2024},
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}
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```
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```bibtex
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@article{K2,
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title={LLM360 K2-65B: Scaling Up Fully Transparent Open-Source LLMs},
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author={
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Zhengzhong Liu and Bowen Tan
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and Hongyi Wang and Willie Neiswanger and Tianhua Tao
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and Haonan Li and Fajri Koto and Yuqi Wang and Suqi Sun
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and Omkar Pangarkar and Richard Fan and Yi Gu and Victor Miller
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and Liqun Ma and Liping Tang and Nikhil Ranjan and Yonghao Zhuang
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and Guowei He and Renxi Wang and Mingkai Deng and Robin Algayres
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and Yuanzhi Li and Zhiqiang Shen and Preslav Nakov
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and Eric Xing
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},
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year={2024},
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}
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```
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