Text Generation
GGUF
English
Spanish
GGUF
conversational
chat
roleplay
Inference Endpoints
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@@ -14,6 +14,18 @@ pipeline_tag: text-generation
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  base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-715k-1.5T
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  ---
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  <a href='https://ko-fi.com/C0C2ZXNON' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi3.png?v=3' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>
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  Note:
@@ -27,15 +39,6 @@ Metadata:
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  - Size: 1.1B
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  - Architecture: LaMA, Transformer.
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- We introduce AURORA V1.0 - the first model in this series which is actually use able.
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- Its usecases are following:
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- - Next-Word prediction for mobile devices:
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- - - This Model can be reliably packaged into a keyboard-app to help make Next-Word suggestions more accurate.
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- - Conversations:
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- - - AURORA can engage in conversations using the Vicuna format, remember to replace "ASSISTANT" with "AURORA" though.
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- - - AURORA can engage in SFW roleplay with simple character definitions. It wasn't trained on NSFW.
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- - - AURORA can engage in simple, short Q&A. It was trained on factual data too, which means it performs well for its size.
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-
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  Recommended settings:
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  - Temperature 0.1 - 0,4 is stable.
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  - Context Length of 2048(base) to 4096(RoPE) will work well for story-telling, role-playing and simple conversations.
 
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  base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-715k-1.5T
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  ---
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65ca8c3c5495933ab066c33c/4iYoUWbwZVIld2K3red-T.png)
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+ We, XeTute, introduce AURORA V1.0 - the first model in this series which is actually useable.
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+ Its usecases are following:
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+ - Next-Word prediction for mobile devices:
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+ - - This Model can be reliably packaged into a keyboard-app to help make Next-Word suggestions more accurate.
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+ - Conversations:
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+ - - AURORA can engage in conversations using the Vicuna format, remember to replace "ASSISTANT" with "AURORA" though.
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+ - - AURORA can engage in SFW roleplay with simple character definitions. It wasn't trained on NSFW.
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+ - - AURORA can engage in simple, short Q&A. It was trained on factual data too, which means it performs well for its size.
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+
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+ We used datasets created by our team, and translated it to different languaged patially using HuggingFaceH4/zephyr-7b-beta, mostly using humans we hired from different free-lancing services.
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+
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  <a href='https://ko-fi.com/C0C2ZXNON' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi3.png?v=3' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>
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  Note:
 
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  - Size: 1.1B
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  - Architecture: LaMA, Transformer.
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  Recommended settings:
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  - Temperature 0.1 - 0,4 is stable.
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  - Context Length of 2048(base) to 4096(RoPE) will work well for story-telling, role-playing and simple conversations.