Instructions to use veyra-ai/Kairo-5M-Gemma4-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use veyra-ai/Kairo-5M-Gemma4-Base with Transformers:

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

pipe = pipeline("text-generation", model="veyra-ai/Kairo-5M-Gemma4-Base")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("veyra-ai/Kairo-5M-Gemma4-Base")
model = AutoModelForMultimodalLM.from_pretrained("veyra-ai/Kairo-5M-Gemma4-Base")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use veyra-ai/Kairo-5M-Gemma4-Base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "veyra-ai/Kairo-5M-Gemma4-Base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "veyra-ai/Kairo-5M-Gemma4-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/veyra-ai/Kairo-5M-Gemma4-Base

SGLang

How to use veyra-ai/Kairo-5M-Gemma4-Base 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 "veyra-ai/Kairo-5M-Gemma4-Base" \
    --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": "veyra-ai/Kairo-5M-Gemma4-Base",
		"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 "veyra-ai/Kairo-5M-Gemma4-Base" \
        --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": "veyra-ai/Kairo-5M-Gemma4-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use veyra-ai/Kairo-5M-Gemma4-Base with Docker Model Runner:
```
docker model run hf.co/veyra-ai/Kairo-5M-Gemma4-Base
```

Model Eval

by GODELEV - opened 12 days ago

Discussion

GODELEV

12 days ago

Hii !!
I think you should list you model here "AxiomicLabs/Open_SLM_Leaderboard"
It will help you to see how good your model performs & you can get to know whom else are building models in same category.

Thank You !!
Hope You reply

Jdudeo

Veyra AI org 12 days ago

Hi! Thanks for the suggestion.

I've submitted Veyra3-5M Base and Veyra-30M Base to the Open_SLM_Leaderboard. I appreciate you letting me know about the project.

Thanks!

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