metadata
library_name: transformers
tags:
- llama-factory
- merge
license: llama3
language:
- en
Model Card for Model ID
This is a fine tune of a merged model using the DARE TIES merge method using cognitivecomputations/dolphin-2.9-llama3-8b as a base. The following models were included in the merge:
Model Details
Quant Q8_0 GGUF
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub.
- Developed by: Gianni Sanrochman
- Funded by: [Merildo Sanrochman]
- Model type: LLaMA-3
- Language(s) (NLP): [English]
- License: llama3
- Finetuned from model: giannisan/dolphin-einstein-llama3-dare-ties using the PENNY dataset
Training Details
Training Data
[More Information Needed]
Training Procedure
Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
[More Information Needed]
Evaluation
| Metric | Value |
|---|---|
| Avg. | 66.72 |
| ARC (25-shot) | 61.01 |
| HellaSwag (10-shot) | 82.50 |
| MMLU (5-shot) | 64.48 |
| TruthfulQA (0-shot) | 50.73 |
| Winogrande (5-shot) | 74.11 |
| GSM8K (5-shot) | 67.48 |
full results here
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: [Nvidia RTX A100]
- Hours used: [2]
- Cloud Provider: [RunPod]
- Compute Region: [Europe]
- Carbon Emitted: [More Information Needed]
Model Card Authors [optional]
[Gianni Sanrochman]
Model Card Contact
[More Information Needed]