Instructions to use LINs-lab/DynMoE-StableLM-1.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LINs-lab/DynMoE-StableLM-1.6B with Transformers:

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

pipe = pipeline("text-generation", model="LINs-lab/DynMoE-StableLM-1.6B", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("LINs-lab/DynMoE-StableLM-1.6B", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use LINs-lab/DynMoE-StableLM-1.6B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LINs-lab/DynMoE-StableLM-1.6B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LINs-lab/DynMoE-StableLM-1.6B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/LINs-lab/DynMoE-StableLM-1.6B

SGLang

How to use LINs-lab/DynMoE-StableLM-1.6B 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 "LINs-lab/DynMoE-StableLM-1.6B" \
    --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": "LINs-lab/DynMoE-StableLM-1.6B",
		"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 "LINs-lab/DynMoE-StableLM-1.6B" \
        --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": "LINs-lab/DynMoE-StableLM-1.6B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use LINs-lab/DynMoE-StableLM-1.6B with Docker Model Runner:
```
docker model run hf.co/LINs-lab/DynMoE-StableLM-1.6B
```

DynMoE-StableLM-1.6B

Commit History

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Commit History

Improve model card: Update pipeline tag, add library name, and update news section (#1) 5614c51 verified

Update README.md 00e2298 verified

Update README.md ed71434 verified

Update README.md 38a9131 verified

Update README.md e2a0278 verified

update model card again d5578dc

update model card 6e7490e

upload model a21f226 verified

initial commit 2a0cf09 verified

Improve model card: Update pipeline tag, add library name, and update news section (#1)

5614c51
verified

Update README.md

00e2298
verified

Update README.md

ed71434
verified

Update README.md

38a9131
verified

Update README.md

e2a0278
verified

update model card again

d5578dc

update model card

6e7490e

upload model

a21f226
verified

initial commit

2a0cf09
verified