How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Nbardy/micro-mistral"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Nbardy/micro-mistral",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/Nbardy/micro-mistral
Quick Links

Micro Mistral

A small version of mistral.

Similiar to some of the small llama variants, but uses GQA, tied embeddings, and sliding window attention.

Dataset Minipile Instruct Math OpenOrca Synthetic Data

TODO: Complete Dataset section

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Model size
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Tensor type
BF16
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Datasets used to train Nbardy/micro-mistral