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README.md
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---
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base_model:
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- Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1
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- nvidia/AceMath-1.5B-Instruct
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- Qwen/Qwen2.5-1.5B-Instruct
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- bond005/meno-tiny-0.1
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- hotmailuser/QwenStock-1.7B
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- fblgit/miniclaus-qw1.5B-UNAMGS-GRPO
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- Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2
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- Sakalti/Saba1-1.8B
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- hotmailuser/QwenModelStock-1.8B
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- Sakalti/SJT-1.5B-Alpha
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- lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3
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- nvidia/AceInstruct-1.5B
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- Sakalti/Saba1.5-1.5B
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- fblgit/miniclaus-qw1.5B-UNAMGS
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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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- model:
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---
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base_model:
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- Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1
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- nvidia/AceMath-1.5B-Instruct
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- Qwen/Qwen2.5-1.5B-Instruct
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- bond005/meno-tiny-0.1
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- hotmailuser/QwenStock-1.7B
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- fblgit/miniclaus-qw1.5B-UNAMGS-GRPO
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- Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2
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- Sakalti/Saba1-1.8B
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- hotmailuser/QwenModelStock-1.8B
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- Sakalti/SJT-1.5B-Alpha
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- lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3
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- nvidia/AceInstruct-1.5B
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- Sakalti/Saba1.5-1.5B
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- fblgit/miniclaus-qw1.5B-UNAMGS
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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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language:
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- zho
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- eng
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- fra
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- spa
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- por
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- deu
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- ita
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- rus
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- jpn
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- kor
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- vie
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- tha
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- ara
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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 [SCE](https://arxiv.org/abs/2408.07990) merge method using [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-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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* [Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1](https://huggingface.co/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1)
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* [nvidia/AceMath-1.5B-Instruct](https://huggingface.co/nvidia/AceMath-1.5B-Instruct)
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* [bond005/meno-tiny-0.1](https://huggingface.co/bond005/meno-tiny-0.1)
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* [hotmailuser/QwenStock-1.7B](https://huggingface.co/hotmailuser/QwenStock-1.7B)
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* [fblgit/miniclaus-qw1.5B-UNAMGS-GRPO](https://huggingface.co/fblgit/miniclaus-qw1.5B-UNAMGS-GRPO)
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* [Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2](https://huggingface.co/Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2)
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* [Sakalti/Saba1-1.8B](https://huggingface.co/Sakalti/Saba1-1.8B)
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* [hotmailuser/QwenModelStock-1.8B](https://huggingface.co/hotmailuser/QwenModelStock-1.8B)
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* [Sakalti/SJT-1.5B-Alpha](https://huggingface.co/Sakalti/SJT-1.5B-Alpha)
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* [lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3](https://huggingface.co/lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3)
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* [nvidia/AceInstruct-1.5B](https://huggingface.co/nvidia/AceInstruct-1.5B)
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* [Sakalti/Saba1.5-1.5B](https://huggingface.co/Sakalti/Saba1.5-1.5B)
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* [fblgit/miniclaus-qw1.5B-UNAMGS](https://huggingface.co/fblgit/miniclaus-qw1.5B-UNAMGS)
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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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models:
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- model: bond005/meno-tiny-0.1
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- model: fblgit/miniclaus-qw1.5B-UNAMGS
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- model: fblgit/miniclaus-qw1.5B-UNAMGS-GRPO
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- model: hotmailuser/QwenModelStock-1.8B
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- model: hotmailuser/QwenStock-1.7B
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- model: lalainy/ECE-PRYMMAL-YL-1B-SLERP-V3
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- model: nvidia/AceInstruct-1.5B
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- model: nvidia/AceMath-1.5B-Instruct
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- model: Qwen/Qwen2.5-1.5B-Instruct
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- model: Sakalti/Saba1.5-1.5B
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- model: Sakalti/Saba1-1.8B
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- model: Sakalti/SJT-1.5B-Alpha
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- model: Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1
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- model: Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2
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tokenizer:
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source: base
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merge_method: sce
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base_model: Qwen/Qwen2.5-1.5B-Instruct
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dtype: bfloat16
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parameters:
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int8_mask: true
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```
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