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

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
```

csabakecskemeti commited on Mar 13, 2024

Commit

e57cc7c

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1 Parent(s): 2ee3f63

Update README.md

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@@ -2,7 +2,7 @@
 #pipeline_tag: question-answering
 language: en
 widget:
- - text: "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?"
 ---
 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 Operation system,

 #pipeline_tag: question-answering
 language: en
 widget:
+ - text: "Give me a complete answer do not refer to other chapters but collect the information from them. How to setup a local network in Nextstep OS?"
 ---
 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 Operation system,