Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

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HelpingAI-Lite-2x1B - AWQ
- Model creator: https://huggingface.co/OEvortex/
- Original model: https://huggingface.co/OEvortex/HelpingAI-Lite-2x1B/




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.