Instructions to use llmware/phi-3-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use llmware/phi-3-gguf with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf llmware/phi-3-gguf
# Run inference directly in the terminal:
llama cli -hf llmware/phi-3-gguf

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf llmware/phi-3-gguf
# Run inference directly in the terminal:
llama cli -hf llmware/phi-3-gguf

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf llmware/phi-3-gguf
# Run inference directly in the terminal:
./llama-cli -hf llmware/phi-3-gguf

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf llmware/phi-3-gguf
# Run inference directly in the terminal:
./build/bin/llama-cli -hf llmware/phi-3-gguf

Use Docker

docker model run hf.co/llmware/phi-3-gguf

LM Studio
Jan
Ollama
How to use llmware/phi-3-gguf with Ollama:
```
ollama run hf.co/llmware/phi-3-gguf
```

Unsloth Studio

How to use llmware/phi-3-gguf with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for llmware/phi-3-gguf to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for llmware/phi-3-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for llmware/phi-3-gguf to start chatting

Docker Model Runner
How to use llmware/phi-3-gguf with Docker Model Runner:
```
docker model run hf.co/llmware/phi-3-gguf
```

Lemonade

How to use llmware/phi-3-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull llmware/phi-3-gguf

Run and chat with the model

lemonade run user.phi-3-gguf-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

phi-3-gguf

File size: 912 Bytes

406d9b0

---
license: apache-2.0
inference: false 
base_model:  microsoft/Phi-3-mini-instruct  
base_model_relation: quantized
tags: [green, llmware-chat, p3, gguf, emerald]
---

# phi-3-gguf

<!-- Provide a quick summary of what the model is/does. -->

**phi-3-gguf** is a GGUF 4_K_M (int4) quantized version of [Microsoft Phi-3-mini-instruct](https://www.huggingface.co/microsoft/Phi-3-mini-instruct), providing a very fast, very small inference implementation, optimized for AI PCs.    


### Model Description

- **Developed by:** microsoft   
- **Model type:** phi3  
- **Parameters:** 3.8 billion  
- **Model Parent:** microsoft/Phi-3-mini-instruct  
- **Language(s) (NLP):** English  
- **License:** Apache 2.0  
- **Uses:** Chat, general-purpose LLM  
- **Quantization:** 4_K_M (int4)
  

## Model Card Contact  

[llmware on hf](https://www.huggingface.co/llmware)  

[llmware website](https://www.llmware.ai)