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Note: We're looking for funds, it is getting harder to keep our free-inference up. We've been serving a lot of GPU time to KoboldAI & we've trained our LLMs on CPUs, because our GPUs can't handle it. We're looking for funds to replace our two GTX1060 3GBs in order to provide better, faster inference and train models more efficiently, and overall, to keep this startup running. Any help is appreciated:

Note about this model: We're abandoning this model, because we got no money left to make a model this large perform even average on most basic Tasks. If you want to support us, consider donating on the links above. This will help us create models from scratch, assuring they perform best for what they are built for.

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Before you download this model, you can try it out on our website, for free, without any login, etc. The inference may be slow, you can support us by donating on the links above. Try out Atheria on:

About this model:

  • Name: Atheria
  • Version: 0.2
  • IsStable: No
  • IsUsable: Yes
  • Param Count: ~7B.
  • Type: Text-Generation
  • Finetuned on: XT_Atheria-V0.15, with a 100% human-written dataset, written only for this model[it isn't XT_Conversation-Small, it's closed source].
  • GGUF Quant: Q8.

Improvements:

  • Better at instructing.
  • Average NLP
  • Logical thinking.
  • Thoughtfulness.

Plans for the next version:

  • No current plans.

Scope of use:

  • Math
  • Basic Coding
  • Reasoning
  • NLP
  • Basic roleplaying
  • General Q & A.
  • Private use

Out of scope use:

  • Illegal Q & A
  • Production

The prompt format used is Vicuna. The model may make more mistakes than expected, we will fix this when we get the newer GPUs.

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We wish you a rememberable chat with Atheria!

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GGUF
Model size
6.91B params
Architecture
llama
Inference Examples
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Dataset used to train XeTute/Atheria-V0.2

Collection including XeTute/Atheria-V0.2