---
base_model:
- Qwen/Qwen2.5-7B-Instruct
library_name: transformers
tags:
- mergekit
- merge

---
# phase_f4a

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 [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* ./outputs/phase_e2b/merged_model
* ./outputs/phase_d/merged_model

### Configuration

The following YAML configuration was used to produce this model:

```yaml
# F4-a: DARE-TIES Merge (Phase D 0.6 + E2-b 0.4)
# Phase D: ALF 56%, DB 52.38% (balanced best)
# E2-b:   ALF 54%, DB 53.47% (DB highest ever, Invalid 12%)
# Goal: Combine Phase D's ALF strength with E2-b's DB strength

models:
  - model: ./outputs/phase_d/merged_model
    parameters:
      density: 0.5
      weight: 0.6
  - model: ./outputs/phase_e2b/merged_model
    parameters:
      density: 0.5
      weight: 0.4
merge_method: dare_ties
base_model: Qwen/Qwen2.5-7B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16

```