XeTute
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AURORA-V1-1.1B-GGUF

Text Generation

Inference Endpoints

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XeTute commited on May 21

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@@ -38,7 +38,7 @@ About XT_AURORA:
 XT_AURORA is a series of SLMs[Slender Language Models], which all aim to provide a friendly, human-like conversation.
 The serie is limited by its size[about 1.1B Params], but we still try to get the best possible output.
 The context-length is very stable till 2048 tokens, after that limit, it will perform only slightly better than V0.5.
-Tt can be upscaled using rope, with the cost being slightly less logic.
 About this version[V1.0]:
 * High quality output[sometimes outperforms 3B models in HumanEval], as long as the context size is under 2049 Tokens.

 XT_AURORA is a series of SLMs[Slender Language Models], which all aim to provide a friendly, human-like conversation.
 The serie is limited by its size[about 1.1B Params], but we still try to get the best possible output.
 The context-length is very stable till 2048 tokens, after that limit, it will perform only slightly better than V0.5.
+It can be upscaled using rope, with the cost being slightly less logic.
 About this version[V1.0]:
 * High quality output[sometimes outperforms 3B models in HumanEval], as long as the context size is under 2049 Tokens.