Instructions to use zjunlp/zhixi-13b-diff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zjunlp/zhixi-13b-diff with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="zjunlp/zhixi-13b-diff")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("zjunlp/zhixi-13b-diff") model = AutoModelForCausalLM.from_pretrained("zjunlp/zhixi-13b-diff") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use zjunlp/zhixi-13b-diff with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "zjunlp/zhixi-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": "zjunlp/zhixi-13b-diff", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/zjunlp/zhixi-13b-diff
- SGLang
How to use zjunlp/zhixi-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 "zjunlp/zhixi-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": "zjunlp/zhixi-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 "zjunlp/zhixi-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": "zjunlp/zhixi-13b-diff", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use zjunlp/zhixi-13b-diff with Docker Model Runner:
docker model run hf.co/zjunlp/zhixi-13b-diff
Update README.md
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README.md
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<p align="center" width="100%">
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<a href="" target="_blank"><img src="https://github.com/zjunlp/CaMA/blob/main/assets/logo.jpg?raw=true" alt="ZJU-CaMA" style="width: 30%; min-width: 30px; display: block; margin: auto;"></a>
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- [Vicuna](https://vicuna.lmsys.org/)
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- [Llama-X](https://github.com/AetherCortex/Llama-X)
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---
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license: apache-2.0
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language:
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- en
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- zh
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pipeline_tag: text-generation
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tags:
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- code
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---
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<p align="center" width="100%">
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<a href="" target="_blank"><img src="https://github.com/zjunlp/CaMA/blob/main/assets/logo.jpg?raw=true" alt="ZJU-CaMA" style="width: 30%; min-width: 30px; display: block; margin: auto;"></a>
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- [Vicuna](https://vicuna.lmsys.org/)
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- [Llama-X](https://github.com/AetherCortex/Llama-X)
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