brittlewis12
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Create README.md
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README.md
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---
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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inference: false
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pipeline_tag: text-generation
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language:
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- en
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license: other
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license_name: llama3
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license_link: https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/blob/main/LICENSE
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model_creator: meta-llama
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model_name: Meta-Llama-3-8B-Instruct
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model_type: llama
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tags:
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- facebook
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- meta
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- pytorch
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- llama
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- llama-3
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quantized_by: brittlewis12
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---
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# Meta-Llama-3-8B-Instruct GGUF
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**Original model**: [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
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**Model creator**: [Meta](https://huggingface.co/meta-llama)
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This repo contains GGUF format model files for Meta’s Llama-3-8B-Instruct,
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**updated as of 2024-04-20** to handle the `<|eot_id|>` special token as EOS token.
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Learn more on Meta’s [Llama 3 page](https://llama.meta.com/llama3).
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### What is GGUF?
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GGUF is a file format for representing AI models. It is the third version of the format,
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introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
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Converted with llama.cpp build 2700 (revision [aed82f6](https://github.com/ggerganov/llama.cpp/commit/aed82f6837a3ea515f4d50201cfc77effc7d41b4)),
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using [autogguf](https://github.com/brittlewis12/autogguf).
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### Prompt template
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```
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<|start_header_id|>system<|end_header_id|>
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{{system_prompt}}<|eot_id|><|start_header_id|>user<|end_header_id|>
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{{prompt}}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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```
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---
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## Download & run with [cnvrs](https://twitter.com/cnvrsai) on iPhone, iPad, and Mac!
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![cnvrs.ai](https://pbs.twimg.com/profile_images/1744049151241797632/0mIP-P9e_400x400.jpg)
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[cnvrs](https://testflight.apple.com/join/sFWReS7K) is the best app for private, local AI on your device:
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- create & save **Characters** with custom system prompts & temperature settings
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- download and experiment with any **GGUF model** you can [find on HuggingFace](https://huggingface.co/models?library=gguf)!
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- make it your own with custom **Theme colors**
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- powered by Metal ⚡️ & [Llama.cpp](https://github.com/ggerganov/llama.cpp), with **haptics** during response streaming!
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- **try it out** yourself today, on [Testflight](https://testflight.apple.com/join/sFWReS7K)!
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- follow [cnvrs on twitter](https://twitter.com/cnvrsai) to stay up to date
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---
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## Original Model Evaluation
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<table>
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<tr>
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<td><strong>Benchmark</strong>
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</td>
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<td><strong>Llama 3 8B</strong>
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</td>
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<td><strong>Llama 2 7B</strong>
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</td>
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<td><strong>Llama 2 13B</strong>
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</td>
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</tr>
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<tr>
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<td>MMLU (5-shot)
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</td>
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<td><b>68.4</b>
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</td>
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<td>34.1
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</td>
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<td>47.8
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</td>
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</tr>
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<tr>
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<td>GPQA (0-shot)
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</td>
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<td><b>34.2</b>
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</td>
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<td>21.7
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</td>
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<td>22.3
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</td>
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</tr>
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<tr>
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<td>HumanEval (0-shot)
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</td>
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<td><b>62.2</b>
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</td>
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<td>7.9
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</td>
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<td>14.0
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</td>
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</tr>
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<tr>
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<td>GSM-8K (8-shot, CoT)
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</td>
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<td><b>79.6</b>
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</td>
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<td>25.7
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</td>
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<td>77.4
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</td>
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</tr>
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<tr>
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<td>MATH (4-shot, CoT)
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</td>
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<td><b>30.0</b>
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</td>
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<td>3.8
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</td>
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<td>6.7
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</td>
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</tr>
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</table>
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