Instructions to use AtlaAI/Selene-1-Mini-Llama-3.1-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AtlaAI/Selene-1-Mini-Llama-3.1-8B with Transformers:

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

pipe = pipeline("text-generation", model="AtlaAI/Selene-1-Mini-Llama-3.1-8B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("AtlaAI/Selene-1-Mini-Llama-3.1-8B")
model = AutoModelForMultimodalLM.from_pretrained("AtlaAI/Selene-1-Mini-Llama-3.1-8B")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AtlaAI/Selene-1-Mini-Llama-3.1-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AtlaAI/Selene-1-Mini-Llama-3.1-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AtlaAI/Selene-1-Mini-Llama-3.1-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AtlaAI/Selene-1-Mini-Llama-3.1-8B

SGLang

How to use AtlaAI/Selene-1-Mini-Llama-3.1-8B 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 "AtlaAI/Selene-1-Mini-Llama-3.1-8B" \
    --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": "AtlaAI/Selene-1-Mini-Llama-3.1-8B",
		"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 "AtlaAI/Selene-1-Mini-Llama-3.1-8B" \
        --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": "AtlaAI/Selene-1-Mini-Llama-3.1-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use AtlaAI/Selene-1-Mini-Llama-3.1-8B with Docker Model Runner:
```
docker model run hf.co/AtlaAI/Selene-1-Mini-Llama-3.1-8B
```

youngsunpark commited on Jul 25, 2025

Commit

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@@ -42,7 +42,7 @@ license: apache-2.0
 <p align="center">
     📄 <a href="https://huggingface.co/spaces/AtlaAI/selene-1-mini-tech-report">Technical report</a> |
     💻 <a href="https://github.com/atla-ai/selene-mini">Cookbooks</a> |
-    👀 <a href="https://www.atla-ai.com/" style="background-image: linear-gradient(to right, red, orange, yellow, green, blue, indigo, violet); -webkit-background-clip: text; color: transparent; animation: rainbow 5s ease infinite; text-decoration: underline; text-decoration-color: currentColor;">Learn more</a>
 </p>
 <style>
@@ -68,10 +68,10 @@ Post-trained from Llama-3.1-8B across a wide range of evaluation tasks and scori
 It is also the **#1 8B generative model on [RewardBench](https://huggingface.co/spaces/allenai/reward-bench)**.
 <p align="left">
-  <img src="https://atla-ai.notion.site/image/attachment%3A48c744ac-faba-45ba-a8d0-dd315b1c0004%3Aimage.png?table=block&id=19d309d1-7745-800d-b1f6-e81db63b75d4&spaceId=f08e6e70-73af-4363-9621-90e906b92ebc&width=2000&userId=&cache=v2" width="500" alt="Centered image">
 </p>
-The large version of this model is out now. Get started with the **world's most powerful evaluation model** for free [here](https://huggingface.co/AtlaAI/Selene-1-Llama-3.3-70B).
 ## Model Details

 <p align="center">
     📄 <a href="https://huggingface.co/spaces/AtlaAI/selene-1-mini-tech-report">Technical report</a> |
     💻 <a href="https://github.com/atla-ai/selene-mini">Cookbooks</a> |
+    👀 <a href="https://www.atla-ai.com/" style="background-image: linear-gradient(to right, red, orange, yellow, green, blue, indigo, violet); -webkit-background-clip: text; color: transparent; animation: rainbow 5s ease infinite; text-decoration: underline; text-decoration-color: currentColor;">Atla agent evals</a>
 </p>
 <style>
 It is also the **#1 8B generative model on [RewardBench](https://huggingface.co/spaces/allenai/reward-bench)**.
 <p align="left">
+  <img src="https://file.notion.so/f/f/f08e6e70-73af-4363-9621-90e906b92ebc/58b32c85-c86a-4dc0-87a8-b001fc1b7e0e/OSS.png?table=block&id=23b309d1-7745-804b-8cf3-c3fea8af18f6&spaceId=f08e6e70-73af-4363-9621-90e906b92ebc&expirationTimestamp=1753466400000&signature=rSX-fmqQeAJTcB8GAAsk-kijdzubANJDy9DQQYtRL-w&downloadName=OSS.png" width="500" alt="Centered image">
 </p>
+The 70B version of this model, Selene 1, is on Hugging Face. Get started with the **world's most powerful evaluation model** [here](https://huggingface.co/AtlaAI/Selene-1-Llama-3.3-70B).
 ## Model Details