| 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/ | |
| 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. | |