| Thanks to @s3nh for the great quantization notebook code. | |
| --- | |
| license: openrail | |
| pipeline_tag: text-generation | |
| library_name: transformers | |
| language: | |
| - en | |
| --- | |
| ## Original model card | |
| Buy @s3nh a coffee if you like this project ;) | |
| <a href="https://www.buymeacoffee.com/s3nh"><img src="https://www.buymeacoffee.com/assets/img/guidelines/download-assets-sm-1.svg" alt=""></a> | |
| #### Description | |
| GGUF Format model files for [This project](https://huggingface.co/Test157t/Kunocchini-7b-128k-test). | |
| ### GGUF Specs | |
| GGUF is a format based on the existing GGJT, but makes a few changes to the format to make it more extensible and easier to use. The following features are desired: | |
| Single-file deployment: they can be easily distributed and loaded, and do not require any external files for additional information. | |
| Extensible: new features can be added to GGML-based executors/new information can be added to GGUF models without breaking compatibility with existing models. | |
| mmap compatibility: models can be loaded using mmap for fast loading and saving. | |
| Easy to use: models can be easily loaded and saved using a small amount of code, with no need for external libraries, regardless of the language used. | |
| Full information: all information needed to load a model is contained in the model file, and no additional information needs to be provided by the user. | |
| The key difference between GGJT and GGUF is the use of a key-value structure for the hyperparameters (now referred to as metadata), rather than a list of untyped values. | |
| This allows for new metadata to be added without breaking compatibility with existing models, and to annotate the model with additional information that may be useful for | |
| inference or for identifying the model. | |
| # Original model card | |