🤖 LaboAI-0.3.3-3B

This is a lightweight yet capable language model (3B parameters) fine-tuned specifically for generating, understanding, and debugging Kotlin code and Android development (with a strong emphasis on Jetpack Compose, Coroutines, and modern architectures).

This version (0.3.3) applies the same proven, multi-dataset training recipe as the 1.5B version, but scaled up to the 3B architecture for improved reasoning, better context understanding, and more reliable code generation. It is optimized using QLoRA (4-bit) to run efficiently on consumer hardware (e.g., NVIDIA RTX 3060 12GB, or RTX 4060).

📋 Model Details

• Developed by: Mmxa
• Organization: LaboAI
• Model type: Causal Language Model (Code Generation)
• Languages: Kotlin, Java, English, Spanish (instructions)
• License: Apache 2.0 (inherited from Qwen2.5)
• Base model: Qwen/Qwen2.5-3B-Instruct

🚀 Uses

Direct Use

• Generating robust boilerplate for Activities, Fragments, ViewModels, and Repositories in Kotlin.
• Creating complex modern UI components with Jetpack Compose.
• Debugging compilation errors or logic flaws in Android code snippets.
• Translating legacy Java logic into modern, idiomatic Kotlin.

Ecosystem Use (Recommended)

This model shines when used as a local coding assistant via Ollama and the Continue extension in VS Code. This guarantees complete privacy (your code never leaves your machine) and low latency.

Out-of-Scope Uses

• It is not optimized for general chat, creative writing, or complex mathematical reasoning.
• It should not be used to generate malicious code or exploits.
• All generated code must be reviewed by a human developer before being merged into a main branch.

⚠️ Limitations and Risks

• API Hallucinations: In rare cases, it might suggest deprecated Android APIs instead of modern alternatives.
• Context Window: Optimized for 1024 tokens during training. It is not suitable for analyzing massive, multi-thousand-line codebase files all at once.
• Dependencies: It does not have real-time knowledge of the latest Android library updates.

💻 How to Get Started (Local Setup)

This repository includes both the original format (safetensors) and the quantized format (GGUF Q4_K_M).

1. Install Ollama.
2. Run the model directly from Hugging Face:

   ollama run hf.co/LaboAI/LaboAI-0.3.3-3B:Q4_K_M