|
--- |
|
license: llama3 |
|
--- |
|
# Llama3-Prime |
|
|
|
This [Llama 3 8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) model is a merge of other pretrained Llama 3 language models that were optimized for user preference. As a result, this merged model should be strong at providing relevant answers to user queries. Here, usability is more important than beating benchmarks. |
|
|
|
- Input: text only |
|
- Output: text only |
|
- Prompt format: Llama 3 |
|
- Language: English |
|
|
|
This model was created by merging multiple models with equal weights through the use of [MergeKit's](https://github.com/arcee-ai/mergekit) `model_stock` method. |
|
|
|
Base Model: [Daredevil-8B](https://huggingface.co/mlabonne/Daredevil-8B) |
|
|
|
Models Used: |
|
- [Llama-3-Instruct-8B-SimPO-ExPO](https://huggingface.co/chujiezheng/Llama-3-Instruct-8B-SimPO-ExPO) |
|
- [Llama-3-8B-Magpie-Pro-SFT-v0.1](https://huggingface.co/Magpie-Align/Llama-3-8B-Magpie-Pro-SFT-v0.1) |
|
- [SELM-Llama-3-8B-Instruct-iter-3](https://huggingface.co/ZhangShenao/SELM-Llama-3-8B-Instruct-iter-3) |
|
- [LLaMA3-iterative-DPO-final-ExPO](https://huggingface.co/chujiezheng/LLaMA3-iterative-DPO-final-ExPO) |
|
- [Llama-3-Instruct-8B-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3) |
|
- [MAmmoTH2-8B-Plus](https://huggingface.co/TIGER-Lab/MAmmoTH2-8B-Plus) |
|
- [Bagel-8b-v1.0](https://huggingface.co/jondurbin/bagel-8b-v1.0) |
|
|
|
Training Details: |
|
|
|
The merged model was trained using [LLaMA Factory](https://github.com/hiyouga/LLaMA-Factory) on the `alpaca_en_demo` dataset to ensure the model can respond in the Llama 3 Instruct format. The training parameters included a rank of 1, an alpha value of 1, and a 0.3 dropout rate. In other words, very weak training to prevent interfering with the merged model's capabilities. |
|
|
