Instructions to use deepseek-ai/DeepSeek-Math-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use deepseek-ai/DeepSeek-Math-V2 with Transformers:

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

pipe = pipeline("text-generation", model="deepseek-ai/DeepSeek-Math-V2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-Math-V2", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use deepseek-ai/DeepSeek-Math-V2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "deepseek-ai/DeepSeek-Math-V2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepseek-ai/DeepSeek-Math-V2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/deepseek-ai/DeepSeek-Math-V2

SGLang

How to use deepseek-ai/DeepSeek-Math-V2 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 "deepseek-ai/DeepSeek-Math-V2" \
    --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": "deepseek-ai/DeepSeek-Math-V2",
		"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 "deepseek-ai/DeepSeek-Math-V2" \
        --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": "deepseek-ai/DeepSeek-Math-V2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use deepseek-ai/DeepSeek-Math-V2 with Docker Model Runner:
```
docker model run hf.co/deepseek-ai/DeepSeek-Math-V2
```

nielsr HF Staff commited on Dec 2, 2025

Commit

ab5fa3e

verified ·

1 Parent(s): 6ea7c60

Improve model card: Add pipeline tag, relevant tags, paper and code links

Browse files

This PR enhances the model card by:
- Adding `pipeline_tag: text-generation` to improve discoverability on the Hugging Face Hub.
- Adding `math` and `mathematical-reasoning` tags to categorize the model more accurately.
- Adding a direct link to the Hugging Face paper page ([DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning](https://huggingface.co/papers/2511.22570)) for easy access.
- Adding a direct link to this model's GitHub repository ([https://github.com/deepseek-ai/DeepSeek-Math-V2](https://github.com/deepseek-ai/DeepSeek-Math-V2)).

Please review and merge if these improvements are satisfactory.

Files changed (1) hide show

README.md +10 -4

README.md CHANGED Viewed

@@ -1,8 +1,12 @@
 ---
-license: apache-2.0
-library_name: transformers
 base_model:
-  - deepseek-ai/DeepSeek-Math-V2
 ---
 <!-- markdownlint-disable first-line-h1 -->
@@ -35,6 +39,8 @@ base_model:
 </div>
 # DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
 ## 1. Introduction
@@ -90,4 +96,4 @@ This repository and the model weights are licensed under [the Apache License, Ve
 ## 8. Contact
-If you have any questions, please raise an issue or contact us at [service@deepseek.com](mailto:service@deepseek.com).

 ---
 base_model:
+- deepseek-ai/DeepSeek-Math-V2
+library_name: transformers
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- math
+- mathematical-reasoning
 ---
 <!-- markdownlint-disable first-line-h1 -->
 </div>
 # DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
+Paper: [DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning](https://huggingface.co/papers/2511.22570)
+Code: [https://github.com/deepseek-ai/DeepSeek-Math-V2](https://github.com/deepseek-ai/DeepSeek-Math-V2)
 ## 1. Introduction
 ## 8. Contact
+If you have any questions, please raise an issue or contact us at [service@deepseek.com](mailto:service@deepseek.com).