This model was merged using the passthrough merge method while zeroing o_proj and down_proj which led to an decrease in perplexity (good) compared to similar 15B merges. This was a recommendation from Charles Goddard - thank you for sharing the method of merging as well as Toasty Pigeon for bringing it to my attention!

Finetuned Version

A finetuned version of this model can be found at elinas/Llama-3-15B-Instruct-zeroed-ft which seems to improve performance.

Models Merged

The following models were included in the merge:

meta-llama/Meta-Llama-3-8B-Instruct

Configuration

The following YAML configuration was used to produce this model:

yaml

dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 24]
    model: meta-llama/Meta-Llama-3-8B-Instruct
- sources:
  - layer_range: [8, 24]
    model: meta-llama/Meta-Llama-3-8B-Instruct
    parameters:
      scale:
      - filter: o_proj
        value: 0.0
      - filter: down_proj
        value: 0.0
      - value: 1.0
- sources:
  - layer_range: [8, 24]
    model: meta-llama/Meta-Llama-3-8B-Instruct
    parameters:
      scale:
      - filter: o_proj
        value: 0.0
      - filter: down_proj
        value: 0.0
      - value: 1.0
- sources:
  - layer_range: [24, 32]
    model: meta-llama/Meta-Llama-3-8B-Instruct