Instructions to use deepseek-ai/deepseek-coder-33b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use deepseek-ai/deepseek-coder-33b-base with Transformers:

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

pipe = pipeline("text-generation", model="deepseek-ai/deepseek-coder-33b-base")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/deepseek-coder-33b-base")
model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-33b-base")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use deepseek-ai/deepseek-coder-33b-base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "deepseek-ai/deepseek-coder-33b-base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepseek-ai/deepseek-coder-33b-base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/deepseek-ai/deepseek-coder-33b-base

SGLang

How to use deepseek-ai/deepseek-coder-33b-base 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-coder-33b-base" \
    --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": "deepseek-ai/deepseek-coder-33b-base",
		"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 "deepseek-ai/deepseek-coder-33b-base" \
        --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": "deepseek-ai/deepseek-coder-33b-base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use deepseek-ai/deepseek-coder-33b-base with Docker Model Runner:
```
docker model run hf.co/deepseek-ai/deepseek-coder-33b-base
```

Update README.md

by Phgf134 - opened Apr 6, 2025

base: refs/heads/main

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from: refs/pr/5

Discussion Files changed

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README.md CHANGED Viewed

@@ -2,6 +2,19 @@
 license: other
 license_name: deepseek-license
 license_link: LICENSE
 ---
@@ -164,4 +177,4 @@ See the [LICENSE-MODEL](https://github.com/deepseek-ai/deepseek-coder/blob/main/
 ### 5. Contact
-If you have any questions, please raise an issue or contact us at [agi_code@deepseek.com](mailto:agi_code@deepseek.com).

 license: other
 license_name: deepseek-license
 license_link: LICENSE
+datasets:
+- nvidia/Llama-Nemotron-Post-Training-Dataset-v1
+language:
+- ab
+metrics:
+- bertscore
+base_model:
+- deepseek-ai/DeepSeek-V3-0324
+new_version: deepseek-ai/DeepSeek-V3-0324
+pipeline_tag: text-classification
+library_name: adapter-transformers
+tags:
+- finance
 ---
 ### 5. Contact
+If you have any questions, please raise an issue or contact us at [agi_code@deepseek.com](mailto:agi_code@deepseek.com).