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

Libraries

How to use theprint/phi-3-mini-4k-gamedev with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("theprint/phi-3-mini-4k-gamedev", dtype="auto")

llama-cpp-python

How to use theprint/phi-3-mini-4k-gamedev with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="theprint/phi-3-mini-4k-gamedev",
	filename="phi-3-mini-4k-gamedev.F16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use theprint/phi-3-mini-4k-gamedev with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf theprint/phi-3-mini-4k-gamedev:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf theprint/phi-3-mini-4k-gamedev:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf theprint/phi-3-mini-4k-gamedev:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf theprint/phi-3-mini-4k-gamedev:Q4_K_M

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 theprint/phi-3-mini-4k-gamedev:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf theprint/phi-3-mini-4k-gamedev:Q4_K_M

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 theprint/phi-3-mini-4k-gamedev:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf theprint/phi-3-mini-4k-gamedev:Q4_K_M

Use Docker

docker model run hf.co/theprint/phi-3-mini-4k-gamedev:Q4_K_M

LM Studio
Jan
Ollama
How to use theprint/phi-3-mini-4k-gamedev with Ollama:
```
ollama run hf.co/theprint/phi-3-mini-4k-gamedev:Q4_K_M
```

Unsloth Studio new

How to use theprint/phi-3-mini-4k-gamedev 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 theprint/phi-3-mini-4k-gamedev 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 theprint/phi-3-mini-4k-gamedev to start chatting

Using HuggingFace Spaces for Unsloth

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

Docker Model Runner
How to use theprint/phi-3-mini-4k-gamedev with Docker Model Runner:
```
docker model run hf.co/theprint/phi-3-mini-4k-gamedev:Q4_K_M
```

Lemonade

How to use theprint/phi-3-mini-4k-gamedev with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull theprint/phi-3-mini-4k-gamedev:Q4_K_M

Run and chat with the model

lemonade run user.phi-3-mini-4k-gamedev-Q4_K_M

List all available models

lemonade list

Everything but the Code

This model was fine tuned on the things that go into creating games and building game studios, except for the coding part. Instead of code, this model focuses on things like project management, marketing, community, outsourcing and all those other things that can't be done in a game engine.

Uploaded model

Developed by: theprint
License: apache-2.0
Finetuned from model : unsloth/phi-3-mini-4k-instruct-bnb-4bit

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

Downloads last month: 95

GGUF

Model size

4B params

Architecture

llama

Hardware compatibility

4-bit

5-bit

6-bit

8-bit

16-bit

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theprint
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phi-3-mini-4k-gamedev

Everything but the Code

Uploaded model

Dataset used to train theprint/phi-3-mini-4k-gamedev