Instructions to use HuggingFaceTB/SmolLM-360M-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HuggingFaceTB/SmolLM-360M-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="HuggingFaceTB/SmolLM-360M-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/SmolLM-360M-Instruct")
model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM-360M-Instruct")
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 HuggingFaceTB/SmolLM-360M-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HuggingFaceTB/SmolLM-360M-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": "HuggingFaceTB/SmolLM-360M-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/HuggingFaceTB/SmolLM-360M-Instruct

SGLang

How to use HuggingFaceTB/SmolLM-360M-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 "HuggingFaceTB/SmolLM-360M-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": "HuggingFaceTB/SmolLM-360M-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 "HuggingFaceTB/SmolLM-360M-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": "HuggingFaceTB/SmolLM-360M-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use HuggingFaceTB/SmolLM-360M-Instruct with Docker Model Runner:
```
docker model run hf.co/HuggingFaceTB/SmolLM-360M-Instruct
```

Upload ONNX weights

by Xenova HF Staff - opened Jul 16, 2024

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+24

-0

Files changed (8) hide show

onnx/model.onnx +3 -0
onnx/model_bnb4.onnx +3 -0
onnx/model_fp16.onnx +3 -0
onnx/model_int8.onnx +3 -0
onnx/model_q4.onnx +3 -0
onnx/model_q4f16.onnx +3 -0
onnx/model_quantized.onnx +3 -0
onnx/model_uint8.onnx +3 -0

onnx/model.onnx ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:2496148b109c3bb6a3a8df92fea43c5647016ba0a2db08f89af30501e2cadf8c
+size 1448301209

onnx/model_bnb4.onnx ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:537b03aa64065ce45f7bd19b39184e55f13ebe31965354c72b99c159526f8ea9
+size 366992362

onnx/model_fp16.onnx ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:6f18682159811608af15fb542ebe03f3fa7e544cf4e8bc12bd6852c3aca4e6b7
+size 724701643

onnx/model_int8.onnx ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:85af34637f211b2905193c8c08819d1c094db0c7a2f5c43984bdc3b04ecdad39
+size 363270670

onnx/model_q4.onnx ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:f27edbac285b53db0f3479698f02f401e88be5e1c865eec1689f668582a3bfa6
+size 386651434

onnx/model_q4f16.onnx ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:3f0adc35f1c264f54f5e03f65df6fa47cfebb1ef41e0442158112964b86df5b4
+size 272536796

onnx/model_quantized.onnx ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:85af34637f211b2905193c8c08819d1c094db0c7a2f5c43984bdc3b04ecdad39
+size 363270670

onnx/model_uint8.onnx ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:db327d1cee0c3d4927e8640be2228264a6b5c038d22d797afaf71ddb37c29945
+size 363270784