Modelpublic

redhat6/Phi-3.5-mini-instruct-Q4_K_M-GGUF

sourceHugging Facemitupdated 2y agoView on Hugging Face

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Model Card

redhat6/Phi-3.5-mini-instruct-Q4KM-GGUF

This model was converted to GGUF format from `microsoft/Phi-3.5-mini-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 Ollama

Create the model in Ollama

bash

ollama create Phi-3.5-mini-instruct-Q4_K_M-GGUF -f Modelfile

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

bash

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

bash

llama-cli --hf-repo redhat6/Phi-3.5-mini-instruct-Q4_K_M-GGUF --hf-file phi-3.5-mini-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

bash

llama-server --hf-repo redhat6/Phi-3.5-mini-instruct-Q4_K_M-GGUF --hf-file phi-3.5-mini-instruct-q4_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.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo redhat6/Phi-3.5-mini-instruct-Q4_K_M-GGUF --hf-file phi-3.5-mini-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo redhat6/Phi-3.5-mini-instruct-Q4_K_M-GGUF --hf-file phi-3.5-mini-instruct-q4_k_m.gguf -c 2048