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--- |
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base_model: |
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- mistralai/Mistral-Nemo-Instruct-2407 |
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library_name: transformers |
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license: apache-2.0 |
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datasets: |
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- nvidia/HelpSteer2 |
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tags: |
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- unsloth |
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--- |
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![Header](./Ava.png) |
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# Ava 1.0 |
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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. |
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--- |
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## Key Features |
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- **Enhanced Conversational Skills**: Ava 1.0 demonstrates fluid and human-like dialogue generation with improved contextual understanding. |
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- **Updated Knowledge Base**: Trained on the latest datasets, Ava 1.0 ensures responses are relevant and informed. |
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- **Multi-Turn Conversation**: Handles complex, multi-turn interactions seamlessly, maintaining coherence and focus. |
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- **Personalized Assistance**: Adapts responses based on user preferences and context. |
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- **Multilingual Support**: Capable of understanding and responding in multiple languages with high accuracy. |
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--- |
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## Why Ava 1.0? |
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Ava 1.0 is built to excel in a wide range of applications: |
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- **Customer Support**: Provides intelligent, empathetic, and accurate responses to customer queries. |
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- **Education**: Acts as an interactive tutor, offering explanations and personalized guidance. |
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- **Personal Assistance**: Supports daily tasks, scheduling, and answering general queries with ease. |
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- **Creative Collaboration**: Assists with brainstorming, writing, and other creative processes. |
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--- |
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## Usage |
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Using Ava 1.0 in your project is straightforward. Here’s a quick setup guide: |
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### Installation |
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Ensure you have the necessary libraries and dependencies installed. Use the following command: |
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```bash |
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pip install transformers |
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``` |
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### Implementation |
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Here’s a sample Python script to interact with Ava 1.0: |
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```python |
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# Use a pipeline as a high-level helper |
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from transformers import pipeline |
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pipe = pipeline("text-generation", model="Spestly/Ava-12B") |
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#OR |
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# Load model directly |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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tokenizer = AutoTokenizer.from_pretrained("Spestly/Ava-12B") |
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model = AutoModelForCausalLM.from_pretrained("Spestly/Ava-12B") |
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``` |
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--- |
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## Training Highlights |
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Ava 1.0 was fine-tuned with the following enhancements: |
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1. **Extensive Conversational Dataset**: Leveraging a wide array of open-domain and specialized conversational datasets. |
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2. **Knowledge Integration**: Incorporating recent advancements and updates to provide cutting-edge insights. |
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3. **Fine-Tuning on Mistral NeMo**: Utilizing the powerful Mistral NeMo framework for robust and efficient training. |
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--- |
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## Limitations |
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- **Contextual Challenges**: In rare cases, Ava 1.0 may misinterpret ambiguous inputs. |
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- **Hardware Requirements**: Optimal performance requires a robust system with GPU acceleration. |
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## Roadmap |
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- **Ava 2.0**: Introducing real-time learning capabilities and broader conversational adaptability. |
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- **Lightweight Model**: Developing a lightweight version optimized for edge devices. |
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- **Domain-Specific Fine-Tunes**: Specialized versions for industries like healthcare, education, and finance. |
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## License |
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Ava 1.0 is released under the Apache 2.0 license. |
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--- |
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## Contact |
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For inquiries, feedback, or support, feel free to reach out: |
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- **Email**: aayan.mishra@proton.me |
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- **GitHub**: [Spestly](https://github.com/Aayan-Mishra) |
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- **Website**: [Ava Project Page](https://aayan-mishra.vercel.app/blog/ava-1-0) |