| license: apache-2.0 | |
| library_name: transformers | |
| tags: | |
| - experimental | |
| - mergekit | |
| - model from scratch | |
| # Model Card for Model ID | |
| This is a model with altered parameters from a mergekit slice of [SciPhi/SciPhi-Self-RAG-Mistral-7B-32k](https://huggingface.co/SciPhi/SciPhi-Self-RAG-Mistral-7B-32k). | |
| ## Model Details | |
| ### Model Description | |
| This model is an experimental model using minimal slices to gather core model properties that can be further trained. | |
| The parameters have been reduced to just under 96 million. This is an experiment to see how far slicing can be taken while retaining original weight associations. | |
| As such, he base model is a nonsense producer, and won't return much useful. However, a suprising portion of the original sciphi model has been retained as far as gradients go. | |
| The model will be used for layer analysis and trained on a close approximation of the sciphi datasets using trainable parameters to see what original weights might be usable. | |
| This process will be ongoing to see if rank stabilized tuning can save and enhance the original model information through recognizing original weight associations in the preserved layers, even after model resizing. | |
| There is a twin (parent) project with a less siginificant size reduction (600 million params) that is being used for training analysis here: [jtatman/sciphi-mini-600m](https://huggingface.co/jtatman/sciphi-mini-600m) |