Instructions to use SupraLabs/Supra-Router-51M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SupraLabs/Supra-Router-51M with Transformers:

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

pipe = pipeline("text-generation", model="SupraLabs/Supra-Router-51M")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("SupraLabs/Supra-Router-51M")
model = AutoModelForCausalLM.from_pretrained("SupraLabs/Supra-Router-51M")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use SupraLabs/Supra-Router-51M with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SupraLabs/Supra-Router-51M"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SupraLabs/Supra-Router-51M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/SupraLabs/Supra-Router-51M

SGLang

How to use SupraLabs/Supra-Router-51M 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 "SupraLabs/Supra-Router-51M" \
    --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": "SupraLabs/Supra-Router-51M",
		"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 "SupraLabs/Supra-Router-51M" \
        --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": "SupraLabs/Supra-Router-51M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use SupraLabs/Supra-Router-51M with Docker Model Runner:
```
docker model run hf.co/SupraLabs/Supra-Router-51M
```

Route with multi-turn conversation

by tieubaoca - opened 1 day ago

Discussion

tieubaoca

1 day ago

Does this model support processing a conversation thread between a user and an AI? Because the complexity of a question often depends on its context rather than just the question content itself.

QyrouNnet-AI

SupraLabs org 1 day ago

No, sorry, it doesn't do multi-turn.

It's difficult to manage the context length of an SLM for a task like that. We will try our best for our next model!

QyrouNnet-AI changed discussion status to closed 1 day ago

jbourny

about 2 hours ago

This is exactly the question I was asking myself because otherwise routing can't be set up too much except for the first request. Maybe concatenate with the first request, the last tool called and its parameters + the last user request?

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