Instructions to use gorilla-llm/gorilla-openfunctions-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use gorilla-llm/gorilla-openfunctions-v2 with Transformers:

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

pipe = pipeline("text-generation", model="gorilla-llm/gorilla-openfunctions-v2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("gorilla-llm/gorilla-openfunctions-v2")
model = AutoModelForCausalLM.from_pretrained("gorilla-llm/gorilla-openfunctions-v2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use gorilla-llm/gorilla-openfunctions-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "gorilla-llm/gorilla-openfunctions-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "gorilla-llm/gorilla-openfunctions-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/gorilla-llm/gorilla-openfunctions-v2

SGLang

How to use gorilla-llm/gorilla-openfunctions-v2 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 "gorilla-llm/gorilla-openfunctions-v2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "gorilla-llm/gorilla-openfunctions-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "gorilla-llm/gorilla-openfunctions-v2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "gorilla-llm/gorilla-openfunctions-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use gorilla-llm/gorilla-openfunctions-v2 with Docker Model Runner:
```
docker model run hf.co/gorilla-llm/gorilla-openfunctions-v2
```

How to assign a default value?

#11

by piyush333 - opened Apr 12, 2024

Discussion

piyush333

Apr 12, 2024

As the title suggests, I am trying assign a default value to the parameters. For example, If the user does not give the value for the given parameter use null.

CharlieJi

Gorilla LLM (UC Berkeley) org Apr 16, 2024

Hi @piyush333 , thanks for your interest!

You can either put in the parameter description, or have a field called default in parameter. You can take a look at some examples in the Berkeley Function-Calling Leaderboard.

"diffandsplits": {"type": "boolean", "description": "The diffandsplits of the stock history. Allows one of following : true|false. Default to true"}

and

"reverse": {"type": "boolean", "description": "Whether to sort the array in reverse order.", "default": false}

Let me know if you have additional questions!

CharlieJi changed discussion status to closed Apr 16, 2024

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment