README.md

---
language:
- multilingual
license: mit
tags:
- nlp
- code
- llama-cpp
- gguf-my-repo
license_link: https://huggingface.co./microsoft/Phi-3-medium-128k-instruct/resolve/main/LICENSE
pipeline_tag: text-generation
inference:
  parameters:
    temperature: 0.7
widget:
- messages:
  - role: user
    content: Can you provide ways to eat combinations of bananas and dragonfruits?
---

# Trisert/Phi-3-medium-128k-instruct-Q4_K_S-GGUF
This model was converted to GGUF format from [`microsoft/Phi-3-medium-128k-instruct`](https://huggingface.co./microsoft/Phi-3-medium-128k-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co./spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co./microsoft/Phi-3-medium-128k-instruct) for more details on the model.
## Use with llama.cpp

Install llama.cpp through brew.

```bash
brew install ggerganov/ggerganov/llama.cpp
```
Invoke the llama.cpp server or the CLI.

CLI:

```bash
llama-cli --hf-repo Trisert/Phi-3-medium-128k-instruct-Q4_K_S-GGUF --model phi-3-medium-128k-instruct.Q4_K_S.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo Trisert/Phi-3-medium-128k-instruct-Q4_K_S-GGUF --model phi-3-medium-128k-instruct.Q4_K_S.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

```
git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m phi-3-medium-128k-instruct.Q4_K_S.gguf -n 128
```