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

Libraries

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

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/DeepSeek-V2", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-V2", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

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

Use Docker

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

SGLang

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

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

keyError: 'sdpa'

by minglingfeng - opened May 8, 2024

Discussion

minglingfeng

May 8, 2024

•

edited May 8, 2024

When loading the model: DeepSeek-V2, i got the following error:

File "/root/miniconda3/envs/eval-python3.9/lib/python3.9/site-packages/transformers/modeling_utils.py", line 3550, in from_pretrained
model = cls(config, *model_args, **model_kwargs)
File "/root/.cache/huggingface/modules/transformers_modules/DeepSeek-V2/modeling_deepseek.py", line 1588, in init
self.model = DeepseekV2Model(config)
File "/root/.cache/huggingface/modules/transformers_modules/DeepSeek-V2/modeling_deepseek.py", line 1404, in init
[
File "/root/.cache/huggingface/modules/transformers_modules/DeepSeek-V2/modeling_deepseek.py", line 1405, in
DeepseekV2DecoderLayer(config, layer_idx)
File "/root/.cache/huggingface/modules/transformers_modules/DeepSeek-V2/modeling_deepseek.py", line 1187, in init
self.self_attn = ATTENTION_CLASSES[config._attn_implementation](
KeyError: 'sdpa'

msr2000

DeepSeek org May 8, 2024

Please refer to https://huggingface.co/deepseek-ai/DeepSeek-V2-Chat/discussions/4

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