Instructions to use NexaAI/octo-net with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NexaAI/octo-net with Transformers:

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

pipe = pipeline("text-generation", model="NexaAI/octo-net", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NexaAI/octo-net", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("NexaAI/octo-net", trust_remote_code=True)
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 Settings

vLLM

How to use NexaAI/octo-net with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/NexaAI/octo-net

SGLang

How to use NexaAI/octo-net 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 "NexaAI/octo-net" \
    --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": "NexaAI/octo-net",
		"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 "NexaAI/octo-net" \
        --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": "NexaAI/octo-net",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use NexaAI/octo-net with Docker Model Runner:
```
docker model run hf.co/NexaAI/octo-net
```

octo-net

Commit History

Update README.md

a89353a
verified

zackli4ai commited on May 5, 2024

Update README.md

2b5c2f0
verified

zackli4ai commited on May 4, 2024

Merge branch 'main' of https://huggingface.co/NexaAIDev/Octopus-v4

c9bf9a5

Zack Zhiyuan Li commited on May 1, 2024

add leaderboard

668e58f

Zack Zhiyuan Li commited on May 1, 2024

Update README.md

d48f25b
verified

alexchen4ai commited on May 1, 2024

add paper links

c8f6ef0

Zack Zhiyuan Li commited on May 1, 2024

add arxiv

febda6f

Zack Zhiyuan Li commited on May 1, 2024

Merge branch 'main' of https://huggingface.co/NexaAIDev/Octopus-v4

4d6907b

Zack Zhiyuan Li commited on Apr 30, 2024

add function descriptions

a9ddc79

Zack Zhiyuan Li commited on Apr 30, 2024

Update README.md

4a0a5df
verified

alexchen4ai commited on Apr 30, 2024

Update README.md

a11fee4
verified

alexchen4ai commited on Apr 30, 2024

Update README.md

c8f1b1f
verified

alexchen4ai commited on Apr 30, 2024