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Model: astom-M/matsuo-llm-advanced-phase-f4a Source: Original Platform
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README.md
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---
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base_model:
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- Qwen/Qwen2.5-7B-Instruct
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# phase_f4a
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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 [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.
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### Models Merged
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The following models were included in the merge:
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* ./outputs/phase_e2b/merged_model
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* ./outputs/phase_d/merged_model
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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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# F4-a: DARE-TIES Merge (Phase D 0.6 + E2-b 0.4)
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# Phase D: ALF 56%, DB 52.38% (balanced best)
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# E2-b: ALF 54%, DB 53.47% (DB highest ever, Invalid 12%)
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# Goal: Combine Phase D's ALF strength with E2-b's DB strength
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models:
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- model: ./outputs/phase_d/merged_model
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parameters:
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density: 0.5
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weight: 0.6
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- model: ./outputs/phase_e2b/merged_model
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parameters:
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density: 0.5
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weight: 0.4
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merge_method: dare_ties
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base_model: Qwen/Qwen2.5-7B-Instruct
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16
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```
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