Upload README (1).md

README (1).md

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+---
+library_name: transformers
+tags:
+- llama-factory
+- merge
+license: llama3
+language:
+- en
+---
+
+# Model Card for Model ID
+
+![image/webp](https://cdn-uploads.huggingface.co/production/uploads/643eab4f05a395e2b1c727e3/TciPHbHULFVgClbNaw0hY.webp)
+
+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]