Instructions to use Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview with Transformers:

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

pipe = pipeline("text-generation", model="Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview")
model = AutoModelForCausalLM.from_pretrained("Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview")
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 Settings

vLLM

How to use Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview

SGLang

How to use Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview 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 "Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview" \
    --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": "Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview",
		"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 "Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview" \
        --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": "Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview with Docker Model Runner:
```
docker model run hf.co/Alibaba-Apsara/DASD-30B-A3B-Thinking-Preview
```

ystluffy commited on Jan 7

Commit

825cb4b

verified ·

1 Parent(s): 6c91f39

Upload apsara-logo.png

Browse files

Files changed (2) hide show

.gitattributes +1 -0
assets/apsara-logo.png +3 -0

.gitattributes CHANGED Viewed

@@ -38,3 +38,4 @@ assets/pipeline.jpg filter=lfs diff=lfs merge=lfs -text
 assets/size_30b_a3b-performance.png filter=lfs diff=lfs merge=lfs -text
 assets/size_4b-performance-img.jpg filter=lfs diff=lfs merge=lfs -text
 assets/size_4b-performance.jpg filter=lfs diff=lfs merge=lfs -text

 assets/size_30b_a3b-performance.png filter=lfs diff=lfs merge=lfs -text
 assets/size_4b-performance-img.jpg filter=lfs diff=lfs merge=lfs -text
 assets/size_4b-performance.jpg filter=lfs diff=lfs merge=lfs -text
+assets/apsara-logo.png filter=lfs diff=lfs merge=lfs -text

assets/apsara-logo.png ADDED Viewed

Git LFS Details

SHA256: a9a8850b55cc901a4e1f62af5d2497d81f41fabf709e48632d9befe4568ae115
Pointer size: 132 Bytes
Size of remote file: 3.35 MB