Instructions to use AdaptKey/AdaptKey-Nemotron-30b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AdaptKey/AdaptKey-Nemotron-30b with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="AdaptKey/AdaptKey-Nemotron-30b")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("AdaptKey/AdaptKey-Nemotron-30b", dtype="auto")

PEFT
How to use AdaptKey/AdaptKey-Nemotron-30b with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AdaptKey/AdaptKey-Nemotron-30b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AdaptKey/AdaptKey-Nemotron-30b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AdaptKey/AdaptKey-Nemotron-30b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/AdaptKey/AdaptKey-Nemotron-30b

SGLang

How to use AdaptKey/AdaptKey-Nemotron-30b 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 "AdaptKey/AdaptKey-Nemotron-30b" \
    --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": "AdaptKey/AdaptKey-Nemotron-30b",
		"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 "AdaptKey/AdaptKey-Nemotron-30b" \
        --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": "AdaptKey/AdaptKey-Nemotron-30b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use AdaptKey/AdaptKey-Nemotron-30b with Docker Model Runner:
```
docker model run hf.co/AdaptKey/AdaptKey-Nemotron-30b
```

Test Data

by ymoslem - opened about 9 hours ago

Discussion

ymoslem

about 9 hours ago

Hello! Thanks for the model!

I can find the training dataset at AdaptKey/datasets. Can you please clarify what the test set was? I need to find the exact test set to evaluate the model against other models while avoiding data contamination with the training data. The card says "Test 5,000", but I do not know which data exactly. Thanks!

ymoslem

about 8 hours ago

I think I found the test dataset here.
Can you please confirm that if I test the model on the netop/TeleQnA instead, there is no risk of data contamination with the fine-tuning data?
Many thanks!

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