metadata

base_model:
  - Solshine/reflection-llama-3.1-8B
  - Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder
  - mlabonne/Hermes-3-Llama-3.1-8B-lorablated
library_name: transformers
tags:
  - mergekit
  - merge

State of the art for size on Open LLM Leaderboard

SOTA as of 9/30/2024, viewable at open-llm-leaderboard/Solshine__Llama-3-1-big-thoughtful-passthrough-merge-2-details

merge

This is a merge of pre-trained language models created using mergekit.

Score from Open LLM Leaderboard

In it's size range, as of 9/30/2024, this model is SOTA. "Normalized accuracy (acc_norm): 0.3157 or 31.57%" "Instance-level loose accuracy (inst_level_loose_acc): 0.3345 or 33.45%"

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:

slices:
- sources:
  - layer_range: [0, 16]
    model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated
- sources:
  - layer_range: [4, 20]
    model: Solshine/reflection-llama-3.1-8B
- sources:
  - layer_range: [8, 24]
    model: Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder
- sources:
  - layer_range: [12, 28]
    model: Solshine/reflection-llama-3.1-8B
- sources:
  - layer_range: [16, 32]
    model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated
merge_method: passthrough
dtype: float16