Instructions to use katanemo/Arch-Function-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use katanemo/Arch-Function-3B with Transformers:

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

pipe = pipeline("text-generation", model="katanemo/Arch-Function-3B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("katanemo/Arch-Function-3B")
model = AutoModelForCausalLM.from_pretrained("katanemo/Arch-Function-3B", device_map="auto")
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 katanemo/Arch-Function-3B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "katanemo/Arch-Function-3B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "katanemo/Arch-Function-3B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/katanemo/Arch-Function-3B

SGLang

How to use katanemo/Arch-Function-3B 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 "katanemo/Arch-Function-3B" \
    --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": "katanemo/Arch-Function-3B",
		"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 "katanemo/Arch-Function-3B" \
        --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": "katanemo/Arch-Function-3B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use katanemo/Arch-Function-3B with Docker Model Runner:
```
docker model run hf.co/katanemo/Arch-Function-3B
```

parachas commited on Feb 5, 2025

Commit

aa331ae

verified ·

1 Parent(s): dedd109

Update License to relax commercial use

Browse files

Files changed (1) hide show

LICENSE +5 -2

LICENSE CHANGED Viewed

@@ -41,8 +41,11 @@ By clicking "I Accept" or using any part of the Katanemo Materials, you agree to
 ---
-5. Additional Commercial Terms
-If you are commercially using the Materials, you shall request a license from us.
 ---

 ---
+5. Commercial Use and Distribution Restrictions
+You are free to use, reproduce, modify, distribute, and create derivative works from the Katanemo Materials for any purpose,
+including commercial use, provided that the Katanemo Materials are not packaged and delivered as part of a framework, proxy server,
+middleware, gateway infrastructure product, or any product substantially similar in function or purpose to these. If you intend to
+package and deliver the Materials in any of these forms or similar products, you must obtain a separate license from Katanemo Labs.
 ---