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, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

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

a5ed529

verified ·

1 Parent(s): 5ea570e

Update tokenizer_config.json

Browse files

Files changed (1) hide show

tokenizer_config.json +1 -0

tokenizer_config.json CHANGED Viewed

@@ -1,5 +1,6 @@
 {
   "add_bos_token": true,
   "add_prefix_space": false,
   "added_tokens_decoder": {
     "50256": {

 {
   "add_bos_token": true,
+  "use_fast": false,
   "add_prefix_space": false,
   "added_tokens_decoder": {
     "50256": {