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Llama-3-8B-Instruct-DADA

Text Generation
Transformers
Safetensors
llama
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
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@@ -16,4 +16,5 @@ It certainly gives some interesting answers using an assistant template/card in
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  The below answer is one of the more interesting answers I've gotten out of an LLM on the same query, although there was an indentiation error (indicated by the red circle)
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  ![](https://files.catbox.moe/mvao98.png)
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- Training was done using [qlora-pipe](https://github.com/tdrussell/qlora-pipe)
 
 
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  The below answer is one of the more interesting answers I've gotten out of an LLM on the same query, although there was an indentiation error (indicated by the red circle)
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  ![](https://files.catbox.moe/mvao98.png)
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+ Training was done using [qlora-pipe](https://github.com/tdrussell/qlora-pipe)
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+ [GGUFs care of Quant Cartel](https://huggingface.co/Quant-Cartel/Llama-3-8B-Instruct-DADA-iMat-GGUF)