Edit model card

DALL-E-2024-08-08-05-39-49-Create-a-visually-captivating-image-for-a-model-card-representing-a-prune

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:

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

[TIGER-AI-Lab/MMLU-Pro]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Downloads last month
72
Safetensors
Model size
6.94B params
Tensor type
BF16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for Na0s/Llama-3.1-8B-Pruned-4-Layers

Finetunes
1 model
Quantizations
1 model