Instructions to use UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B with Transformers:

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

pipe = pipeline("text-generation", model="UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B

SGLang

How to use UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B 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 "UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B" \
    --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": "UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B",
		"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 "UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B" \
        --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": "UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B with Docker Model Runner:
```
docker model run hf.co/UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B
```

jerry3972 commited on Jun 16, 2025

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@@ -24,7 +24,7 @@ DeepSeek-llama3.3-Bllossom-70B는 DeepSeek-R1-distill-Llama-70B 모델을 베이
 | DeepSeek-qwen-Bllossom-7B  | [DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) | 공개예정  |
 | DeepSeek-llama3.1-Bllossom-8B  | [DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B) | [🤗 HuggingFace](https://huggingface.co/UNIVA-Bllossom/DeepSeek-llama3.1-Bllossom-8B)   |
 | DeepSeek-qwen-Bllossom-14B   | [DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) | 공개예정   |
-| DeepSeek-qwen-Bllossom-32B  | [DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) | 공개예정   |
 | DeepSeek-llama3.3-Bllossom-70B  | [DeepSeek-R1-Distill-Llama-70B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B) | [🤗 HuggingFace](https://huggingface.co/UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B )   |
 </div>

 | DeepSeek-qwen-Bllossom-7B  | [DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) | 공개예정  |
 | DeepSeek-llama3.1-Bllossom-8B  | [DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B) | [🤗 HuggingFace](https://huggingface.co/UNIVA-Bllossom/DeepSeek-llama3.1-Bllossom-8B)   |
 | DeepSeek-qwen-Bllossom-14B   | [DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) | 공개예정   |
+| DeepSeek-qwen-Bllossom-32B  | [DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) | [🤗 HuggingFace](https://huggingface.co/UNIVA-Bllossom/DeepSeek-qwen-Bllossom-32B)   |
 | DeepSeek-llama3.3-Bllossom-70B  | [DeepSeek-R1-Distill-Llama-70B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B) | [🤗 HuggingFace](https://huggingface.co/UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B )   |
 </div>