Instructions to use yucchun/Llama-trina-mc-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use yucchun/Llama-trina-mc-3b with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Llama-trina-mc-3b yucchun/Llama-trina-mc-3b
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Llama-trina-mc-3b
Llama-trina-mc-3b is a custom, fine-tuned conversational AI model designed specifically to act as an intelligent assistant for Minecraft servers.
Model Overview
- Base Model: Llama 3.2
- Parameters: 3B
- Focus: Minecraft mechanics, deep lore, server administration, and casual talkative chat.
- Format: MLX (optimized for Apple Silicon) and standard Safetensors.
Training Data
The model was fine-tuned on a custom dataset containing:
- Over 1,600 unique Minecraft crafting recipes.
- In-depth game mechanics (redstone, mob farms, villager trading, etc.).
- A custom talkative persona designed to act as a friendly and helpful server companion named Trina.
Usage
You can run this model natively on Mac using MLX:
pip install mlx-lm
mlx_lm.generate --model yucchun/Llama-trina-mc-3b --prompt "How do I build an iron golem farm?"
Plugin Integration
This model was specifically trained to be used with the Trina Minecraft Server Plugin. You can find the open-source server plugin code here: heyotw/trina on GitHub
License Compliance
This model is built upon Meta's Llama 3.2 materials. Llama 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.
By using this model, you agree to the Llama 3.2 Community License Agreement and the Llama 3.2 Acceptable Use Policy.
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