Instructions to use Snowflake/snowflake-arctic-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Snowflake/snowflake-arctic-instruct with Transformers:

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

pipe = pipeline("text-generation", model="Snowflake/snowflake-arctic-instruct", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Snowflake/snowflake-arctic-instruct", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Snowflake/snowflake-arctic-instruct with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Snowflake/snowflake-arctic-instruct

SGLang

How to use Snowflake/snowflake-arctic-instruct 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 "Snowflake/snowflake-arctic-instruct" \
    --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": "Snowflake/snowflake-arctic-instruct",
		"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 "Snowflake/snowflake-arctic-instruct" \
        --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": "Snowflake/snowflake-arctic-instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Snowflake/snowflake-arctic-instruct with Docker Model Runner:
```
docker model run hf.co/Snowflake/snowflake-arctic-instruct
```

carolinefrascasnowflake commited on Apr 24, 2024

Commit

7fb7fdc

verified ·

1 Parent(s): ea1aa5f

Link to Streamlit app

Browse files

Files changed (1) hide show

README.md +3 -1

README.md CHANGED Viewed

@@ -23,6 +23,8 @@ and much more.
 For the latest details about Snowflake Arctic including tutorials, etc., please refer to our GitHub repo:
 * https://github.com/Snowflake-Labs/snowflake-arctic
 **Model developers** Snowflake AI Research Team
 **License** Apache-2.0
@@ -96,7 +98,7 @@ outputs = model.generate(input_ids=input_ids, max_new_tokens=20)
 print(tokenizer.decode(outputs[0]))
 ```
-The Arctic github page has additional code snippets and examples around running inference:
 * Example with pure-HF: https://github.com/Snowflake-Labs/snowflake-arctic/blob/main/inference
 * Tutorial using vLLM: https://github.com/Snowflake-Labs/snowflake-arctic/tree/main/inference/vllm

 For the latest details about Snowflake Arctic including tutorials, etc., please refer to our GitHub repo:
 * https://github.com/Snowflake-Labs/snowflake-arctic
+Try a live demo with our [Streamlit app](https://huggingface.co/spaces/Snowflake/snowflake-arctic-st-demo).
 **Model developers** Snowflake AI Research Team
 **License** Apache-2.0
 print(tokenizer.decode(outputs[0]))
 ```
+The Arctic GitHub page has additional code snippets and examples around running inference:
 * Example with pure-HF: https://github.com/Snowflake-Labs/snowflake-arctic/blob/main/inference
 * Tutorial using vLLM: https://github.com/Snowflake-Labs/snowflake-arctic/tree/main/inference/vllm