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