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Model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.7 Source: Original Platform
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README.md
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---
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base_model:
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- sometimesanotion/Lamarck-14B-v0.7-Fusion
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- sometimesanotion/Qwenvergence-14B-v11
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- prithivMLmods/Messier-Opus-14B-Elite7
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- jpacifico/Chocolatine-2-14B-Instruct-v2.0b3
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- prithivMLmods/Equuleus-Opus-14B-Exp
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- Sakalti/Saka-14B
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- Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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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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license: apache-2.0
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---
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# merge
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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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8](https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8) 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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* [sometimesanotion/Lamarck-14B-v0.7-Fusion](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.7-Fusion)
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* [sometimesanotion/Qwenvergence-14B-v11](https://huggingface.co/sometimesanotion/Qwenvergence-14B-v11)
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* [prithivMLmods/Messier-Opus-14B-Elite7](https://huggingface.co/prithivMLmods/Messier-Opus-14B-Elite7)
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* [jpacifico/Chocolatine-2-14B-Instruct-v2.0b3](https://huggingface.co/jpacifico/Chocolatine-2-14B-Instruct-v2.0b3)
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* [prithivMLmods/Equuleus-Opus-14B-Exp](https://huggingface.co/prithivMLmods/Equuleus-Opus-14B-Exp)
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* [Sakalti/Saka-14B](https://huggingface.co/Sakalti/Saka-14B)
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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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name: NQLSG-Qwen2.5-14B-MegaFusion-v8.7
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models:
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- model: jpacifico/Chocolatine-2-14B-Instruct-v2.0b3
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- model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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- model: prithivMLmods/Equuleus-Opus-14B-Exp
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- model: prithivMLmods/Messier-Opus-14B-Elite7
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- model: Sakalti/Saka-14B
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- model: sometimesanotion/Lamarck-14B-v0.7-Fusion
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- model: sometimesanotion/Qwenvergence-14B-v11
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base_model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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chat_template: auto
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dtype: bfloat16
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merge_method: model_stock
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parameters:
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int8_mask: true
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tokenizer:
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source: union
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```
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