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open-llama-3b-everythingLM-2048

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open-llama-3b-everythingLM-2048
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---
license: apache-2.0
datasets:
- totally-not-an-llm/EverythingLM-data-V3
language:
- en
library_name: transformers
---

Trained on 2 epochs on the EverythingLM-data-V3 dataset.

This model uses the alpaca prompt format:
```
Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.

### Instruction:
Instruction

### Input:
Input

### Response:
```

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_harborwater__open-llama-3b-everythingLM-2048)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 35.58   |
| ARC (25-shot)         | 42.75          |
| HellaSwag (10-shot)   | 71.72    |
| MMLU (5-shot)         | 27.16         |
| TruthfulQA (0-shot)   | 34.26   |
| Winogrande (5-shot)   | 66.3   |
| GSM8K (5-shot)        | 1.52        |
| DROP (3-shot)         | 5.35         |