How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ovieyra21/BigMistral-11b-GLUED-Q8_0-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ovieyra21/BigMistral-11b-GLUED-Q8_0-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/ovieyra21/BigMistral-11b-GLUED-Q8_0-GGUF:Q8_0
Quick Links

ovieyra21/BigMistral-11b-GLUED-Q8_0-GGUF

This model was converted to GGUF format from athirdpath/BigMistral-11b-GLUED using llama.cpp. Refer to the original model card for more details on the model.

Use with llama.cpp

brew install ggerganov/ggerganov/llama.cpp
llama-cli --hf-repo ovieyra21/BigMistral-11b-GLUED-Q8_0-GGUF --model bigmistral-11b-glued.Q8_0.gguf -p "The meaning to life and the universe is "
llama-server --hf-repo ovieyra21/BigMistral-11b-GLUED-Q8_0-GGUF --model bigmistral-11b-glued.Q8_0.gguf -c 2048
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GGUF
Model size
11B params
Architecture
llama
Hardware compatibility
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