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README.md
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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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- 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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Added note:
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I was testing using my own quantization i1-Q5-K-M. i will release the full GGUF soon.
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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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