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---
base_model:
- mistralai/Mistral-Nemo-Instruct-2407
library_name: transformers
license: apache-2.0
datasets:
- nvidia/HelpSteer2
tags:
- unsloth
---
# 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:
```bash
pip install transformers
```
### Implementation
Here’s a sample Python script to interact with Ava 1.0:
```python
# 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:
1. **Extensive Conversational Dataset**: Leveraging a wide array of open-domain and specialized conversational datasets.
2. **Knowledge Integration**: Incorporating recent advancements and updates to provide cutting-edge insights.
3. **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**: aayan.mishra@proton.me
- **GitHub**: [Spestly](https://github.com/Aayan-Mishra)
- **Website**: [Ava Project Page](https://aayan-mishra.vercel.app/blog/ava-1-0) |