Ava 1.5
Ava 1.5 is a cutting-edge conversational AI model, fine-tuned from Ava 1.0 to deliver exceptional conversational capabilities. Designed to be your go-to AI for engaging, accurate, and context-aware dialogues, Ava 1.5 incorporates updated knowledge and enhanced natural language understanding to provide an unparalleled user experience.
Key Features
- Enhanced Conversational Skills: Ava 1.5 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 1.5?
Ava 1.5 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 1.5 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 1.5:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="Spestly/Ava-1.5-12B")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Spestly/Ava-1.5-12B")
model = AutoModelForCausalLM.from_pretrained("Spestly/Ava-1.5-12B")
Training Highlights
Ava 1.5 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 Ava 1.0: Utilizing the powerful Ava 1.0 model to further refine and expand upon the model's ability to perform tasks!
Prompt Format
Ava uses the Alpaca chat template as its prompt format!
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
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.
Contributing
We welcome contributions to enhance Ava! Here’s how you can get involved:
- Fork this repository.
- Create a feature branch.
- Submit a pull request with detailed explanations of your changes.
License
Ava 1.5 is released under Apache 2.0 License. Please review the LICENSE file for more details.
Contact
For inquiries, feedback, or support, feel free to reach out:
- Email: aayan.mishra@proton.me
- GitHub: Spestly
- Website: Ava Project Page
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Model tree for Spestly/Ava-1.5-12B
Base model
mistralai/Mistral-Nemo-Base-2407