metadata
language:
- en
license: mit
tags:
- nlp
- code
- llama-cpp
- gguf-my-repo
license_link: https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE
pipeline_tag: text-generation
widget:
- messages:
- role: user
content: Can you provide ways to eat combinations of bananas and dragonfruits?
AbhishekVenkatachalam06/Phi-3-mini-128k-instruct-Q5_K_M-GGUF
This model was converted to GGUF format from microsoft/Phi-3-mini-128k-instruct
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 AbhishekVenkatachalam06/Phi-3-mini-128k-instruct-Q5_K_M-GGUF --model phi-3-mini-128k-instruct.Q5_K_M.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo AbhishekVenkatachalam06/Phi-3-mini-128k-instruct-Q5_K_M-GGUF --model phi-3-mini-128k-instruct.Q5_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 phi-3-mini-128k-instruct.Q5_K_M.gguf -n 128