Hugging Face Overview
Forge Coder Qwen v1.21.11: Specialized Minecraft Forge Mod Code Generation
Forge Coder Qwen is a fine-tuned large language model built upon Qwen2.5-Coder-7B-Instruct, specifically engineered to assist in creating Minecraft Forge mods. Developed by hwding, this model leverages a 128K context window, allowing it to process and generate code for extensive mod structures and large codebases efficiently.
Key Capabilities
- Deep Specialization: Possesses a deep understanding of the Forge API, registry systems, and common modding patterns, specifically for Minecraft 1.21.11.
- Comprehensive Code Generation: Excels at generating various Forge mod components, including blocks, items, entities, GUIs, networking, world generation, events, and data generation.
- Version Alignment: Optimized for Minecraft 1.21.11 and Forge 1.21.11, ensuring generated code adheres to current standards and best practices for this version.
- Efficient Fine-tuning: Utilizes QLoRA (4-bit quantization + LoRA) with 161.5M trainable parameters, achieving a token accuracy of 92.17% on its specialized dataset.
Use Cases
This model is ideal for:
- Learning Forge modding patterns and best practices.
- Rapid prototyping of mod components from natural language descriptions.
- Code completion and intelligent suggestions within a modding context.
- Understanding and implementing Forge API usage.
- Working with large mod codebases due to its extended context window.
It is important to note that the model is version-specific (1.21.11) and primarily generates Java code, not supporting other languages like Kotlin or JSON resources. Generated code should always be reviewed and tested.