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license: apache-2.0
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# ✨ Orion-7B
**Orion is based on alpaca-7B, further trained on the latest deep learning papers published at notable conferences with various PEFT methods. It is made available under the Apache 2.0 license.**
*Paper coming soon 😊.*


## What is so special about Orion?
* **Comprehensive performance analysis of PEFT methods for knowledge editing** 
* **Novel framekwork for effective knowledge editing dataset generation**
* **Large knowledge editing dataset from recent deep learning papers published in top conferences**
* 
⚠️ **This is a raw, fine-tuned model, which should be further instruction-tuned for production level performance.** 

💥 **Orion LLM requires PyTorch 2.0**

You will need **at least 20-25GB of memory** to swiftly run inference with Orion-7B.

## Model Details

### Model Description
- **Developed by:** [AttentionX](https://attentionx.github.io);
- **Base model:** alpaca-7B;
- **Training method: LoRA, llama-adapter, llama-adapterV2, full fine-tuning**
- **Language(s) (NLP):** English;
- **License:** Apache 2.0 license.

### Model Source
- **Paper:** *coming soon*.


## Training Details
*Paper coming soon 😊.*


## Evaluation
*Paper coming soon.*
### Test Inference
1. What is GPT-4?
    1. llama
        - GPT-4 is a neural network model built by OpenAI, a non-profit artificial intelligence research organization founded in 2015 by Elon Musk, Sam Altman and other industry leaders.
    2. Orion
         - GPT-4 is a large-scale, multimodal model that can accept image and text inputs and produce text outputs. It is a language model developed by OpenAI. The GPT-4 base model has a larger model size and can accept image and text inputs
2. What is the lowest score GPT-4 achieved in AP Calculus BC?
    1. llama
        - The lowest score achieved is 60%
    2. Orion
        - The lowest score achieved in AP Calculus BC (MCQ) is 33.33%


## Hardware
Orion was trained on a single a100 


## License

Orion is made available under the Apache 2.0 license.

## Contact
attentionx.ai@gmail.com