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tags:
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- mergekit
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- merge
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---
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# .
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## Merge Details
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### Merge Method
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [ZeroAgency/Mistral-Small-3.1-24B-Instruct-2503-hf](https://huggingface.co/ZeroAgency/Mistral-Small-3.1-24B-Instruct-2503-hf) as a base.
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dtype: bfloat16
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tokenizer:
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source: ZeroAgency/Mistral-Small-3.1-24B-Instruct-2503-hf
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```
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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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# DXP-Zero-V1.0-24b-Small-Instruct
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So i was browsing for Mistral finetune and found this base [model](https://huggingface.co/ZeroAgency/Mistral-Small-3.1-24B-Instruct-2503-hf) by [ZeroAgency](https://huggingface.co/ZeroAgency), and oh boy... It was perfect! So here are few notable improvements i observed.
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Pros:
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- Increased output for storytelling or roleplay.
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- Dynamic output (it can adjust how much output, i mean like when you go with shorter prompt it will do smaller outputs and so does with longer prompt more output too).
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- Less repetitive (though it depends on your own prompt and settings).
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- I have tested with 49444/65536 tokens no degradation although i notice it's actually learning the context better and it's impacting the output a lot. (what i don't like is, it's learning the previous context(of turns) too quickly and set it as new standards.).
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## Merge Details
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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 Method
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [ZeroAgency/Mistral-Small-3.1-24B-Instruct-2503-hf](https://huggingface.co/ZeroAgency/Mistral-Small-3.1-24B-Instruct-2503-hf) as a base.
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dtype: bfloat16
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tokenizer:
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source: ZeroAgency/Mistral-Small-3.1-24B-Instruct-2503-hf
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```
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