DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
Paper
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2406.11617
•
Published
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8
This is a merge of pre-trained language models created using mergekit.
This model was merged using the Linear DELLA merge method using /workspace/prototype-0.4x229 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: /workspace/cache/models--TheDrummer--Fallen-Llama-3.3-70B-v1/snapshots/d46ef2629f1c3cd46789a55793c5ff0af60de3e8
parameters:
weight: 0.2
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: /workspace/cache/models--tdrussell--Llama-3-70B-Instruct-Storywriter/snapshots/19be2a7c6382a9150e126cf144e2b2964e700d3c
parameters:
weight: 0.2
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: /workspace/cache/models--LatitudeGames--Wayfarer-Large-70B-Llama-3.3/snapshots/68cb7a33f692be64d4b146576838be85593a7459
parameters:
weight: 0.2
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: /workspace/cache/models--Sao10K--70B-L3.3-Cirrus-x1/snapshots/31d7ca33f3098d1eabe6f87a2c5b5bde85b20f35
parameters:
weight: 0.2
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: /workspace/prototype-0.4x229
parameters:
weight: 0.2
density: 0.7
epsilon: 0.1
lambda: 1.0
base_model: /workspace/prototype-0.4x229
merge_method: della_linear
tokenizer:
source: base
parameters:
normalize: false
pad_to_multiple_of: 8
int8_mask: true
dtype: bfloat16