Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2

State of the art for size on Open LLM Leaderboard on acc_norm score

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

acc_norm of 31.5% according to open llm leaderboard test result dataset.

Due to the merged and minimally retrained nature of this model, this score may not reflect in human evaluated general performance in some domains.

merge

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

Merge Details

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

• Solshine/reflection-llama-3.1-8B
• Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder
• mlabonne/Hermes-3-Llama-3.1-8B-lorablated

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