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RP3-MaidElla-3.2-1B/README.md

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---
base_model:
- N-Bot-Int/MaidEllaA-1B
- RP3-AI/RP3-1b-1.2
library_name: transformers
tags:
- roleplay
- rp
- mergekit
- merge
license: llama3.2
language:
- en
- es
datasets:
- iamketan25/roleplay-instructions-dataset
- N-Bot-Int/Iris-Uncensored-R1
- N-Bot-Int/Moshpit-Combined-R2-Uncensored
- N-Bot-Int/Mushed-Dataset-Uncensored
- N-Bot-Int/Muncher-R1-Uncensored
- N-Bot-Int/Millia-R1_DPO
- yahma/alpaca-cleaned
- HuggingFaceH4/ultrachat_200k
- openai/gsm8k
pipeline_tag: text-generation
---
# RP3 MaidElla 3.2 1B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
### Models Merged
The following models were included in the merge:
* [N-Bot-Int/MaidEllaA-1B](https://huggingface.co/N-Bot-Int/MaidEllaA-1B)
* [RP3-AI/RP3-1b-1.2](https://huggingface.co/RP3-AI/RP3-1b-1.2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
# Author: Dr. Novaciano
# Objective: TEST 3.2 AI Model
# PROJECT: RP3 MaidElla 3.2 1B
models:
- model: RP3-AI/RP3-1b-1.2 # Experimental viral strain neural imprint
- model: N-Bot-Int/MaidEllaA-1B # Baseline cognitive template, "safe mode"
merge_method: slerp # Spherical Linear Interpolation to preserve extreme viral traits smoothly
base_model: N-Bot-Int/MaidEllaA-1B # Anchor model for stable latent space
dtype: bfloat16 # Memory-efficient precision, minimal loss in viral feature fidelity
parameters:
t: 0.45
normalize: false
rescale: true
rescale_factor: 1.12
memory_efficient: true
low_cpu_mem_usage: true
layer_range:
- value: [4, 22]
tie_word_embeddings: true
tie_output_embeddings: true
```