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Aryanne/Mistral-7B-Instruct-v0.2-sliced-24-layer-Q3_K_M-GGUF

This model was converted to GGUF format from arcee-ai/Mistral-7B-Instruct-v0.2-sliced-24-layer using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew.

brew install ggerganov/ggerganov/llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Aryanne/Mistral-7B-Instruct-v0.2-sliced-24-layer-Q3_K_M-GGUF --model mistral-7b-instruct-v0.2-sliced-24-layer.Q3_K_M.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Aryanne/Mistral-7B-Instruct-v0.2-sliced-24-layer-Q3_K_M-GGUF --model mistral-7b-instruct-v0.2-sliced-24-layer.Q3_K_M.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m mistral-7b-instruct-v0.2-sliced-24-layer.Q3_K_M.gguf -n 128
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GGUF
Model size
5.5B params
Architecture
llama

3-bit

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Dataset used to train Aryanne/Mistral-7B-Instruct-v0.2-sliced-24-layer-Q3_K_M-GGUF