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--- |
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base_model: mistralai/Ministral-8B-Instruct-2410 |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- mistral |
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- trl |
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license: other |
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license_name: mrl |
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license_link: LICENSE |
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language: |
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- en |
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--- |
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# Ava 1.0 |
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**Ava 1.0** is an advanced AI model fine-tuned on the Mistral architecture, featuring 8 billion parameters. Designed to be smarter, stronger, and swifter, Ava 1.0 excels in tasks requiring comprehension, reasoning, and language generation, making it a versatile solution for various applications. |
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## Key Features |
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1. **Compact Yet Powerful**: |
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- With 8 billion parameters, Ava 1.0 strikes a balance between computational efficiency and performance. |
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2. **Enhanced Reasoning Capabilities**: |
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- Fine-tuned to provide better logical deductions and insightful responses across multiple domains. |
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3. **Optimized for Efficiency**: |
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- Faster inference and reduced resource requirements compared to larger models. |
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## Use Cases |
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- **Conversational AI**: Natural and context-aware dialogue generation. |
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- **Content Creation**: Generate articles, summaries, and creative writing. |
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- **Educational Tools**: Assist with problem-solving and explanations. |
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- **Data Analysis**: Derive insights from structured and unstructured data. |
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## Technical Specifications |
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- **Model Architecture**: Ministral-8B-Instruct-2410 |
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- **Parameter Count**: 8 Billion |
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- **Training Dataset**: A curated dataset spanning diverse fields, including literature, science, technology, and general knowledge. |
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- **Framework**: Hugging Face Transformers |
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## Usage |
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To use Ava 1.0, integrate it into your Python environment with Hugging Face's `transformers` library: |
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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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messages = [ |
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{"role": "user", "content": "Who are you?"}, |
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] |
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pipe = pipeline("text-generation", model="Spestly/Ava-1.0-8B") |
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pipe(messages) |
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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-1.0-8B") |
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model = AutoModelForCausalLM.from_pretrained("Spestly/Ava-1.0-8B") |
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``` |
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## Performance Benchmarks |
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| Metric | Value | |
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|----------------------|-------------| |
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| Inference Speed | **2x faster** than Ava 1.0 (12B model) | |
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| Accuracy (Benchmarks)| **90%** on standard NLP tasks | |
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| Resource Utilization | Reduced memory footprint by **30%** | |
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## Future Plans |
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- Continued optimization for domain-specific applications. |
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- Expanding the model's adaptability and generalization capabilities. |
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## Contributing |
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We welcome contributions and feedback to improve Ava 1.0. If you'd like to get involved, please reach out or submit a pull request. |
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## License |
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This model is licensed under Mistral Research License. Please review the license terms before usage. |
