Instructions to use state-spaces/mamba-130m-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use state-spaces/mamba-130m-hf with Transformers:

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

pipe = pipeline("text-generation", model="state-spaces/mamba-130m-hf")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("state-spaces/mamba-130m-hf")
model = AutoModelForMultimodalLM.from_pretrained("state-spaces/mamba-130m-hf")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use state-spaces/mamba-130m-hf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "state-spaces/mamba-130m-hf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "state-spaces/mamba-130m-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/state-spaces/mamba-130m-hf

SGLang

How to use state-spaces/mamba-130m-hf 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 "state-spaces/mamba-130m-hf" \
    --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": "state-spaces/mamba-130m-hf",
		"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 "state-spaces/mamba-130m-hf" \
        --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": "state-spaces/mamba-130m-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use state-spaces/mamba-130m-hf with Docker Model Runner:
```
docker model run hf.co/state-spaces/mamba-130m-hf
```

Apache 2.0 Licence

by ngrislain - opened 3 days ago

Discussion

ngrislain

3 days ago

Hi,
Since state-spaces/mamba-130m is released under the Apache 2.0 Licence, would it be possible to release this one under the same licence?

Thank you,
Nicolas

Lounafa1

2 days ago

This one should be under Apache 2.0 license as well. If i understand correctly, this version is basically identical to state-spaces/mamba-130m but in different format for another library to support.
They just likely forget to add the Apache 2.0 license file and tag

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