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# NemoDori-v0.2-Frankend.2-v1-16.6B
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_Experimental!_
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A more upscaled version of [**NemoDori-v0.2-12B-MN-BT**](https://huggingface.co/RozGrov/NemoDori-v0.2-12B-MN-BT), now at **16.6B**.
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<br>
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[Inv/c2-logs-cleaned-deslopped](https://huggingface.co/datasets/Inv/c2-logs-cleaned-deslopped) in 70 steps.
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The reason I used that dataset is... just for testing. What I thought is, if I can replace/fill up those duplicated layers by training it, maybe that makes it better.
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I didn't have enough time to test it, because it's more pricey without quantization.
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I trust @mradermacher to make the quants version of this model. (Thank you so much for making those GGUF on my models ^_^)
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And yeah... Your feedbacks are always welcome, and let me know what's your experience using this model, that would be appreciated.
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Take care everyone.
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### Merge Method
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# NemoDori-v0.2-Frankend.2-v1-16.6B
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_Experimental!_
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|
|
|
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<br>
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+
A more upscaled version of [**NemoDori-v0.2-12B-MN-BT**](https://huggingface.co/RozGrov/NemoDori-v0.2-12B-MN-BT), now at **16.6B**.
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This is also my first _successful_(?) fine-tuned model using **500 random rows** from dataset
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[Inv/c2-logs-cleaned-deslopped](https://huggingface.co/datasets/Inv/c2-logs-cleaned-deslopped) in 70 steps.
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The reason I used that dataset is... just for testing. What I thought is, if I can replace/fill up those duplicated layers by training it, maybe that makes it better.
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|
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I didn't have enough time to test it, because it's more pricey without quantization.
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<br>
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I trust @mradermacher to make the quants version of this model. (Thank you so much for making those GGUF on my models ^_^)
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|
|
|
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+
And... yeah... Your feedbacks are always welcome. Let me know what's your experience using this model, that would be really appreciated.
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+
<br>
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Take care everyone.
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### Merge Method
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