From c836ab8e90f0c73ccc340cfd2e2742fc04f8c1d8 Mon Sep 17 00:00:00 2001 From: Severian Date: Sun, 8 Oct 2023 23:29:45 +0000 Subject: [PATCH] Update README.md --- README.md | 56 ++++++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 55 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 054ae1b..ad97842 100644 --- a/README.md +++ b/README.md @@ -9,4 +9,58 @@ tags: - biomimicry - nature - ecology ---- \ No newline at end of file +--- + + +#### Base Model: `CollectiveCognition-v1-Mistral-7B` +**Tags:** +- ANIMA (Advanced Nature Inspired Multidisciplinary Assistant) +- Biomimicry +- Fine-tuned +- Scientific prompts + +#### Datasets: +- `Severian/Biomimicry` + +#### Model Index: +- Name: ANIMA-Cognitive-Mistral-v1 + - Results: [] + +#### License: MIT +#### Language: English +![image/png](https://cdn-uploads.huggingface.co/production/uploads/64740cf7485a7c8e1bd51ac9/_zfSqMpPXqrOVsbh0TL7J.png) + +--- + +### ANIMA - Advanced Nature Inspired Multimodal Assistant + + + +#### Model Description: +ANIMA is designed as a leading expert in various scientific disciplines including biomimicry, biology, and environmental science. It is fine-tuned on a dataset of over 4,000 high-quality scientific and accurate prompts to help users through the Biomimicry Design Process. The model is intended to propose biomimetic solutions to challenges while frequently asking for user feedback or clarification. + +#### Special Features: +- **High-Quality Dataset**: Trained on more than 4,000 scientific and accurate prompts related to biomimicry. +- **Multi-disciplinary Expertise**: Covers biomimicry, biology, engineering, industrial design, and more. +- **User-Centric Design**: Emphasizes frequent user feedback and clarification. + +#### Usage: +ANIMA follows a structured Biomimicry Design Process, guiding users through steps such as Define, Biologize, Discover, Abstract, and Emulate. For usage instructions and examples, please visit [Biomimicry Design Process](https://toolbox.biomimicry.org/methods/process/). + +#### Performance Metrics: +- **To be updated** + + +#### Dataset: +The model is trained on a high-quality dataset from various scientific disciplines. For more details and to contribute, visit Severian/Biomimicry. + +#### Benchmarks: +- **To be updated** + +#### Training: +- **To be updated** + +#### Licensing: +MIT + +---