---
base_model:
- HuggingFaceTB/SmolLM2-360M-Instruct
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
pipeline_tag: text-generation
---

# SyntheticLanguageAssociationArea_SLAA (Specialized Robot Brain)

This is an experimental merge of pre-trained language models created using [mergekit](https://github.com). 

By leveraging aggressive DARE/TIES parameter reduction, this project explores highly efficient, eco-friendly "Green AI" optimization—maximizing model performance while completely bypassing the environmental degradation and carbon footprint of traditional training.

## Merge Details
### Merge Method

This model was merged using the [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using **SmolLM2-360M-Instruct** structural layers as the foundational base.

### Models Merged

The following models were included in the merge:
* [HuggingFaceTB/SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct)
* Custom experimental checkpoint slices (Internal/Local)

### Configuration

The following YAML configuration layout was used to produce this model:

```yaml
merge_method: dare_ties
base_model: HuggingFaceTB/SmolLM2-360M-Base
models:
  - model: HuggingFaceTB/SmolLM2-360M-Instruct
    parameters:
      weight: 0.65
      density: 1.0   # Keep 100% of the core grammar paths
  - model: HuggingFaceTB/SmolLM2-360M-Instruct
    parameters:
      weight: 0.35
      density: 0.15  # Drops 85% of Instruct's facts, code, and safety bloat to isolate specific structural layers
```

### Licensing & Attribution
This project is officially distributed under the **Apache 2.0 License** to ensure absolute compliance with upstream requirements. Huge credit to the Hugging Face Team for the exceptional SmolLM2 architecture.