Instructions to use DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2
- SGLang
How to use DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2 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 "DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2" \ --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": "DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2", "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 "DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2" \ --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": "DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2 with Docker Model Runner:
docker model run hf.co/DevQuasar/vintage-nextstep_os_systemadmin-ft-phi2
Update README.md
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README.md
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#pipeline_tag: question-answering
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inference: false
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language: en
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## The goal
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The goal of the model to provide a fine-tuned Phi2 (https://huggingface.co/microsoft/phi-2) model that has knowledge about the Vintage NEXTSTEP Operating System,
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"Give me a complete answer do not refer to other chapters but collect the information from them. How to setup a local network in Openstep OS?"
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inference: false
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language: en
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- text: >-
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Give me a complete answer do not refer to other chapters but collect the
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information from them. How to setup a local network in Nextstep OS?
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base_model:
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- microsoft/phi-2
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## The goal
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The goal of the model to provide a fine-tuned Phi2 (https://huggingface.co/microsoft/phi-2) model that has knowledge about the Vintage NEXTSTEP Operating System,
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"Give me a complete answer do not refer to other chapters but collect the information from them. How to setup a local network in Openstep OS?"
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I'm doing this to 'Make knowledge free for everyone', using my personal time and resources.
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If you want to support my efforts please visit my ko-fi page: https://ko-fi.com/devquasar
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Also feel free to visit my website https://devquasar.com/
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