RichardErkhov/Na0s_-_Llama-3.1-8b-Pruned-4-Layers-gguf

Quantization made by Richard Erkhov.

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Llama-3.1-8B-Pruned-4-Layers - GGUF

• —Model creator: https://huggingface.co/Na0s/
• —Original model: https://huggingface.co/Na0s/Llama-3.1-8B-Pruned-4-Layers/

Original model description: --- library_name: transformers tags:

• —mergekit
• —merge pipeline_tag: text-generation ---

<a href="https://ibb.co/k9z9yyz"><img src="https://i.ibb.co/61G1ZZG/DALL-E-2024-08-08-05-39-49-Create-a-visually-captivating-image-for-a-model-card-representing-a-prune.webp" alt="DALL-E-2024-08-08-05-39-49-Create-a-visually-captivating-image-for-a-model-card-representing-a-prune" border="0"></a><br /><a target='_blank' href='https://usefulwebtool.com/fr/convertir-minuscules-majuscules'></a><br />

Na0s/Llama-3.1-8b-Pruned-4-Layers

This is a merge of meta-llama/Meta-Llama-3.1-8B created using mergekit, with respect to the paper "The Unreasonable Ineffectiveness of the Deeper Layers"

Merge Details

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

• —meta-llama/Meta-Llama-3.1-8B

Configuration

The following YAML configuration was used to produce this model:

dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 23]
    model: meta-llama/Meta-Llama-3.1-8B
- sources:
  - layer_range: [28, 32]
    model: meta-llama/Meta-Llama-3.1-8B

Evaluation

MMLU Pro 0-shot: 0.2642

Evaluation Data

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[TIGER-AI-Lab/MMLU-Pro]

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 presented in Lacoste et al. (2019).

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