README.md

---
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)

1. **TypeScript & JavaScript:** Writing down rigid typings, exact interface implementations, and clean functional logic.
2. **Express API Services:** Generating robust endpoints, explicit route validations, and strict error handlers based on strict specifications.
3. **Python Backends:** Fast scripting, data processing logic, and automation code.
4. **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)