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---
base_model:
- NousResearch/Hermes-3-Llama-3.2-3B
- EpistemeAI/ReasoningCore-Llama-3B-R1-aligned
library_name: transformers
tags:
- mergekit
- merge
---
# merge1
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 Passthrough merge method using merge as a base.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-3-Llama-3.2-3B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.2-3B)
* [EpistemeAI/ReasoningCore-Llama-3B-R1-aligned](https://huggingface.co/EpistemeAI/ReasoningCore-Llama-3B-R1-aligned)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: passthrough
dtype: bfloat16
base_model: merge
slices:
- sources:
- model: EpistemeAI/ReasoningCore-Llama-3B-R1-aligned
layer_range: [0, 12]
parameters:
weight: [0.6, 0.65, 0.7] # Entropy-driven: List simulate
- sources:
- model: NousResearch/Hermes-3-Llama-3.2-3B
layer_range: [8, 22]
parameters:
weight: 0.85 # Hyperscaled for transcendent boost
- sources:
- model: merge # Reference the Step 1 output directory/model
layer_range: [16, 28]
tensors: ["self_attn"]
parameters:
weight: 0.75 # Optimized via simulated genius annealing
tensors: ["mlp"]
parameters:
weight: 0.95
dtype: float16
```