Instructions to use agentica-org/DeepScaleR-1.5B-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use agentica-org/DeepScaleR-1.5B-Preview with Transformers:

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

pipe = pipeline("text-generation", model="agentica-org/DeepScaleR-1.5B-Preview")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("agentica-org/DeepScaleR-1.5B-Preview")
model = AutoModelForCausalLM.from_pretrained("agentica-org/DeepScaleR-1.5B-Preview", device_map="auto")

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use agentica-org/DeepScaleR-1.5B-Preview with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "agentica-org/DeepScaleR-1.5B-Preview"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "agentica-org/DeepScaleR-1.5B-Preview",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/agentica-org/DeepScaleR-1.5B-Preview

SGLang

How to use agentica-org/DeepScaleR-1.5B-Preview 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 "agentica-org/DeepScaleR-1.5B-Preview" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "agentica-org/DeepScaleR-1.5B-Preview",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "agentica-org/DeepScaleR-1.5B-Preview" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "agentica-org/DeepScaleR-1.5B-Preview",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use agentica-org/DeepScaleR-1.5B-Preview with Docker Model Runner:
```
docker model run hf.co/agentica-org/DeepScaleR-1.5B-Preview
```

michaelzhiluo commited on Apr 9, 2025

Commit

e3f524c

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1 Parent(s): 5b95f3b

Update README.md

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@@ -21,7 +21,7 @@ pipeline_tag: text-generation
 </div>
 <br>
 <div align="center" style="line-height: 1;">
-  <a href="https://github.com/agentica-project/deepscaler" style="margin: 2px;">
     <img alt="Code" src="https://img.shields.io/badge/DeepScaleR-000000?style=for-the-badge&logo=github&logoColor=000&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
   </a>
   <a href="https://pretty-radio-b75.notion.site/DeepScaleR-Surpassing-O1-Preview-with-a-1-5B-Model-by-Scaling-RL-19681902c1468005bed8ca303013a4e2" target="_blank" style="margin: 2px;">

 </div>
 <br>
 <div align="center" style="line-height: 1;">
+  <a href="https://github.com/agentica-project/rllm" style="margin: 2px;">
     <img alt="Code" src="https://img.shields.io/badge/DeepScaleR-000000?style=for-the-badge&logo=github&logoColor=000&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
   </a>
   <a href="https://pretty-radio-b75.notion.site/DeepScaleR-Surpassing-O1-Preview-with-a-1-5B-Model-by-Scaling-RL-19681902c1468005bed8ca303013a4e2" target="_blank" style="margin: 2px;">