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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+HelpingAI-Lite-2x1B - AWQ
+- Model creator: https://huggingface.co/OEvortex/
+- Original model: https://huggingface.co/OEvortex/HelpingAI-Lite-2x1B/
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+
+
+
+Original model description:
+---
+language:
+- en
+metrics:
+- accuracy
+library_name: transformers
+base_model: OEvortex/HelpingAI-Lite
+tags:
+- HelpingAI
+- coder
+- lite
+- Fine-tuned
+- moe
+- nlp
+license: other
+license_name: hsul
+license_link: https://huggingface.co/OEvortex/vortex-3b/raw/main/LICENSE.md
+
+---
+
+# HelpingAI-Lite
+# Subscribe to my YouTube channel
+[Subscribe](https://youtube.com/@OEvortex)
+
+The HelpingAI-Lite-2x1B is a MOE (Mixture of Experts) model, surpassing HelpingAI-Lite in accuracy. However, it operates at a marginally reduced speed compared to the efficiency of HelpingAI-Lite. This nuanced trade-off positions the HelpingAI-Lite-2x1B as an exemplary choice for those who prioritize heightened accuracy within a context that allows for a slightly extended processing time.
+
+## Language
+
+The model supports English language.
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+
+