Update README.md

README.md

@@ -10,3 +10,57 @@ tags:
 - nature
 - ecology
 ---
+
+
+#### 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
+
+---