Instructions to use sitsope/phi-3-mini-4k-instruct-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use sitsope/phi-3-mini-4k-instruct-q4 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 sitsope/phi-3-mini-4k-instruct-q4
# Run inference directly in the terminal:
llama cli -hf sitsope/phi-3-mini-4k-instruct-q4

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf sitsope/phi-3-mini-4k-instruct-q4
# Run inference directly in the terminal:
llama cli -hf sitsope/phi-3-mini-4k-instruct-q4

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 sitsope/phi-3-mini-4k-instruct-q4
# Run inference directly in the terminal:
./llama-cli -hf sitsope/phi-3-mini-4k-instruct-q4

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 sitsope/phi-3-mini-4k-instruct-q4
# Run inference directly in the terminal:
./build/bin/llama-cli -hf sitsope/phi-3-mini-4k-instruct-q4

Use Docker

docker model run hf.co/sitsope/phi-3-mini-4k-instruct-q4

LM Studio
Jan
Ollama
How to use sitsope/phi-3-mini-4k-instruct-q4 with Ollama:
```
ollama run hf.co/sitsope/phi-3-mini-4k-instruct-q4
```

Unsloth Studio

How to use sitsope/phi-3-mini-4k-instruct-q4 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 sitsope/phi-3-mini-4k-instruct-q4 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 sitsope/phi-3-mini-4k-instruct-q4 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for sitsope/phi-3-mini-4k-instruct-q4 to start chatting

Atomic Chat new
Docker Model Runner
How to use sitsope/phi-3-mini-4k-instruct-q4 with Docker Model Runner:
```
docker model run hf.co/sitsope/phi-3-mini-4k-instruct-q4
```

Lemonade

How to use sitsope/phi-3-mini-4k-instruct-q4 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull sitsope/phi-3-mini-4k-instruct-q4

Run and chat with the model

lemonade run user.phi-3-mini-4k-instruct-q4-{{QUANT_TAG}}

List all available models

lemonade list

phi-3-mini-4k-instruct-q4 / Dockerfile

sitsope

Upload folder using huggingface_hub

a32bf9d verified 5 months ago

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	FROM python:3.11-slim

	WORKDIR /app

	RUN apt-get update \
	&& apt-get install -y --no-install-recommends build-essential \
	&& rm -rf /var/lib/apt/lists/*

	# Build llama-cpp without -march=native to avoid illegal instruction on weaker CPUs
	ENV CMAKE_ARGS="-DLLAMA_NATIVE=OFF" \
	FORCE_CMAKE=1

	COPY requirements.txt ./
	RUN pip install --no-cache-dir -r requirements.txt

	COPY app ./app
	COPY scripts ./scripts
	COPY data ./data

	RUN chmod +x /app/scripts/start.sh

	ENV MODEL_PATH="/models/Phi-3-mini-4k-instruct-q4.gguf" \
	N_THREADS="4" \
	N_GPU_LAYERS="0" \
	N_CTX="4096" \
	RAG_TOP_K="4" \
	APP_PORT="8000"

	EXPOSE 8000

	CMD ["/bin/sh", "/app/scripts/start.sh"]