Instructions to use BigSalmon/InstructGPT2Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BigSalmon/InstructGPT2Large with Transformers:

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

pipe = pipeline("text-generation", model="BigSalmon/InstructGPT2Large")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InstructGPT2Large")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/InstructGPT2Large")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use BigSalmon/InstructGPT2Large with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "BigSalmon/InstructGPT2Large"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BigSalmon/InstructGPT2Large",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/BigSalmon/InstructGPT2Large

SGLang

How to use BigSalmon/InstructGPT2Large 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 "BigSalmon/InstructGPT2Large" \
    --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": "BigSalmon/InstructGPT2Large",
		"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 "BigSalmon/InstructGPT2Large" \
        --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": "BigSalmon/InstructGPT2Large",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use BigSalmon/InstructGPT2Large with Docker Model Runner:
```
docker model run hf.co/BigSalmon/InstructGPT2Large
```

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Check out the documentation for more information.

Example prompts

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
List five advantages of using solar energy.

### Response:
1. Solar energy is renewable and sustainable. 
2. Low ongoing costs and no fuel expenses. 
3. Generates no pollution or noise. 
4. Easily scalable for different types of applications. 
5. Solar energy is widely available in most regions.

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
Generate an example of a travel destination in your favorite country.

### Response:
My favorite travel destination in Australia is Fraser Island, located on the eastern coast.

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