metadata
license: gemma
tags:
- text-generation
- safetensors
- typescript
- express-api
- python
- tailwind-css
language:
- de
- en
pipeline_tag: text-generation
base_model: unsloth/gemma-4-e2b
LottiCode — Pure Execution Code-Monkey
"Zero architectural bloat. Maximum 16-bit execution precision. Built to code down exact specifications."
LottiCode is a highly optimized, specialized model built exclusively for pure, raw code generation (writing down the lines). It operates natively on Linux with full hardware acceleration on AMD GPUs.
Crucial Operational Framework
- NO Architecture, NO Code Reviews: This model does not design software architectures, evaluate system design, or review existing codebases. It is built to code, not to plan.
- Requires an Architect Agent: To function efficiently, LottiCode depends entirely on a separate, high-level architecture agent that provides an explicit, foolproof step-by-step master plan.
- Context Window Optimization: Because the model works most efficiently within a compact context window (recommended
8192), the orchestration layer must feed it clean, granular, bite-sized tasks. It turns precise, isolated technical specs into flawless, production-ready code—step by step.
Core Competencies (Pure Execution)
- TypeScript & JavaScript: Writing down rigid typings, exact interface implementations, and clean functional logic.
- Express API Services: Generating robust endpoints, explicit route validations, and strict error handlers based on strict specifications.
- Python Backends: Fast scripting, data processing logic, and automation code.
- Tailwind CSS Frontend: Turning precise UI specs into perfect HTML/JSX layout code with responsive Tailwind utility classes.
Recommended LM Studio Parameters
- Context Length:
8192(Keep it small and focused per sub-task to maximize precision!) - Max Tokens (Output):
2048 - GPU Offload: Max (100% VRAM utilization via Vulkan/ROCm backend)