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---
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](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) as a base.
The following models were included in the merge:
* [Weyaxi/Einstein-v6.1-Llama3-8B](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B)
## Model Details
Quant [Q8_0 GGUF](https://huggingface.co/giannisan/penny5-dolphin-einstein-llama3-dare-ties-chatml.gguf)
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub.
- **Developed by:** [Gianni Sanrochman](https://x.com/Giannisanii)
- **Funded by:** [Merildo Sanrochman]
- **Model type:** [LLaMA-3](https://ai.meta.com/blog/meta-llama-3)
- **Language(s) (NLP):** [English]
- **License:** [llama3](https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE)
- **Finetuned from model:** [giannisan/dolphin-einstein-llama3-dare-ties](https://huggingface.co/giannisan/dolphin-einstein-llama3-dare-ties) using the PENNY dataset
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[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](https://huggingface.co/datasets/open-llm-leaderboard/details_giannisan__penny5-dolphin-einstein-llama3-dare-ties-chatml/blob/main/results_2024-05-30T05-14-11.958453.json)
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **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] |