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

Libraries

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

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

pipe = pipeline("text-generation", model="deepseek-ai/DeepSeek-V2-Chat", 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-Chat", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-V2-Chat", 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-Chat 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-Chat"
# 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-Chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

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

SGLang

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

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

GPTQ plz

by Parkerlambert123 - opened May 7, 2024

Discussion

Parkerlambert123

May 7, 2024

GPTQ plz.

puffy310

May 7, 2024

It is a big model, I can see why that'd be a good idea.

MysticMizzle

May 8, 2024

Parkerlambert123

May 8, 2024

@MaziyarPanahi plz.

MaziyarPanahi

May 8, 2024

Hi all,
If @puffy310 hasn't started, I can give it a shot. (assuming DeepseekV2ForCausalLM is supported by now in AutoGPTQ)

puffy310

May 8, 2024

Try the vLLM version first, as the model devs have said the Huggingface implementation isn't up to their standards anyways. "Everyone wants a quantized model but nobody wants to quantize a model". - Julian Herrera
I'll see if I can give it a try but I doubt I have the know how. DeepseekV2 was just released and I don't know if AutoGPTQ works well with MoE architectures. If I have some time today I might as well try but your implementation will most likely be better. I always love to learn though. I'll write progress in this discussion.

JohnSaxon

May 9, 2024

qwertyjack

May 9, 2024

MaziyarPanahi

May 10, 2024

Just for a reference: https://github.com/AutoGPTQ/AutoGPTQ/issues/664

Seems not feasible in AutoAWQ as well: https://github.com/casper-hansen/AutoAWQ/issues/473

RobertLee2Future

May 15, 2024

I try building the model by awq. It takes a long time to rebulid the model.

Parkerlambert123

Jul 3, 2024

•

edited Jul 3, 2024

Just for a reference: https://github.com/AutoGPTQ/AutoGPTQ/issues/664

Seems not feasible in AutoAWQ as well: https://github.com/casper-hansen/AutoAWQ/issues/473

@MaziyarPanahi
AutoAWQ and GPTQModel support this model

Parkerlambert123 changed discussion status to closed Jul 3, 2024

Parkerlambert123 changed discussion status to open Jul 3, 2024

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment