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

Libraries

How to use ldwang/DeepScaleR-1.5B-Preview-Reproduce with Transformers:

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

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

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ldwang/DeepScaleR-1.5B-Preview-Reproduce", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use ldwang/DeepScaleR-1.5B-Preview-Reproduce with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/ldwang/DeepScaleR-1.5B-Preview-Reproduce

SGLang

How to use ldwang/DeepScaleR-1.5B-Preview-Reproduce 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 "ldwang/DeepScaleR-1.5B-Preview-Reproduce" \
    --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": "ldwang/DeepScaleR-1.5B-Preview-Reproduce",
		"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 "ldwang/DeepScaleR-1.5B-Preview-Reproduce" \
        --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": "ldwang/DeepScaleR-1.5B-Preview-Reproduce",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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

ldwang commited on May 20, 2025

Commit

63b6e09

verified ·

1 Parent(s): b9baf20

Update README.md

Browse files

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -17,7 +17,7 @@ pipeline_tag: text-generation
 ## Overview
 This model is a reproduction of the [agentica-project/deepscaler](https://github.com/agentica-project/deepscaler) project.
-We have reproduced the results in the repo on an **8x80G** node, achieving an average score of **TBU**.
 ## Training
@@ -48,7 +48,7 @@ nohup bash run_deepscaler_1.5b_24k.sh --model $MODEL_PATH > stage3.log 2>&1 &
 | Still-1.5B | 32.5 | 84.4 | 66.7 | 29.0 | 45.4 | 51.6 |
 | DeepScaleR-1.5B-Preview | 43.1 |87.8 |73.6 | 30.2 |50.0 |57.0 |
 | [DeepScaleR-1.5B-Preview-Reproduce](https://huggingface.co/junnyu/DeepScaleR-1.5B-Preview-Reproduce) | 40.4 |87.9 | 72.0 | 31.5 | 50.2 |56.4|
-| <strong>🎉 DeepScaleR-1.5B-Preview-Reproduce</strong> | 42.3 |88.0 | 73.2 | - | 49.7 |-|
 | O1-Preview | 40.0 | 81.4 | - | - | - | - |

 ## Overview
 This model is a reproduction of the [agentica-project/deepscaler](https://github.com/agentica-project/deepscaler) project.
+We have reproduced the results in the repo on an **8x80G** node, achieving an average score of **56.7**.
 ## Training
 | Still-1.5B | 32.5 | 84.4 | 66.7 | 29.0 | 45.4 | 51.6 |
 | DeepScaleR-1.5B-Preview | 43.1 |87.8 |73.6 | 30.2 |50.0 |57.0 |
 | [DeepScaleR-1.5B-Preview-Reproduce](https://huggingface.co/junnyu/DeepScaleR-1.5B-Preview-Reproduce) | 40.4 |87.9 | 72.0 | 31.5 | 50.2 |56.4|
+| <strong>🎉 DeepScaleR-1.5B-Preview-Reproduce</strong> | 42.3 |88.0 | 73.2 | 30.3 | 49.7 |56.7|
 | O1-Preview | 40.0 | 81.4 | - | - | - | - |