Update README.md

README.md

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 This model was converted to GGUF format from [`Spestly/Ava-1.0-12B`](https://huggingface.co/Spestly/Ava-1.0-12B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/Spestly/Ava-1.0-12B) for more details on the model.
 
+---
+Model details:
+-
+Ava 1.0
+
+Ava 1.0 is a cutting-edge conversational AI model, fine-tuned from Mistral's NeMo to deliver exceptional conversational capabilities. Designed to be your go-to AI for engaging, accurate, and context-aware dialogues, Ava 1.0 incorporates updated knowledge and enhanced natural language understanding to provide an unparalleled user experience.
+
+Key Features
+-
+    Enhanced Conversational Skills: Ava 1.0 demonstrates fluid and human-like dialogue generation with improved contextual understanding.
+    Updated Knowledge Base: Trained on the latest datasets, Ava 1.0 ensures responses are relevant and informed.
+    Multi-Turn Conversation: Handles complex, multi-turn interactions seamlessly, maintaining coherence and focus.
+    Personalized Assistance: Adapts responses based on user preferences and context.
+    Multilingual Support: Capable of understanding and responding in multiple languages with high accuracy.
+
+Why Ava 1.0?
+-
+Ava 1.0 is built to excel in a wide range of applications:
+
+    Customer Support: Provides intelligent, empathetic, and accurate responses to customer queries.
+    Education: Acts as an interactive tutor, offering explanations and personalized guidance.
+    Personal Assistance: Supports daily tasks, scheduling, and answering general queries with ease.
+    Creative Collaboration: Assists with brainstorming, writing, and other creative processes.
+
+Usage
+-
+Using Ava 1.0 in your project is straightforward. Here’s a quick setup guide:
+Installation
+
+Ensure you have the necessary libraries and dependencies installed. Use the following command:
+
+pip install transformers
+
+Implementation
+-
+Here’s a sample Python script to interact with Ava 1.0:
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="Spestly/Ava-12B")
+
+#OR
+
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("Spestly/Ava-12B")
+model = AutoModelForCausalLM.from_pretrained("Spestly/Ava-12B")
+
+Training Highlights
+-
+Ava 1.0 was fine-tuned with the following enhancements:
+
+    Extensive Conversational Dataset: Leveraging a wide array of open-domain and specialized conversational datasets.
+    Knowledge Integration: Incorporating recent advancements and updates to provide cutting-edge insights.
+    Fine-Tuning on Mistral NeMo: Utilizing the powerful Mistral NeMo framework for robust and efficient training.
+
+Limitations
+-
+    Contextual Challenges: In rare cases, Ava 1.0 may misinterpret ambiguous inputs.
+    Hardware Requirements: Optimal performance requires a robust system with GPU acceleration.
+
+Roadmap
+-
+    Ava 2.0: Introducing real-time learning capabilities and broader conversational adaptability.
+    Lightweight Model: Developing a lightweight version optimized for edge devices.
+    Domain-Specific Fine-Tunes: Specialized versions for industries like healthcare, education, and finance.
+
+License
+-
+Ava 1.0 is released under the Apache 2.0 license.
+
+Contact
+-
+For inquiries, feedback, or support, feel free to reach out:
+
+    Email: [email protected]
+    GitHub: Spestly
+    Website: Ava Project Page
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)