DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
Paper
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2406.11617
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Published
•
8
This is a merge of pre-trained language models created using mergekit.
This model was merged using the DELLA merge method using /workspace/cache/models--deepcogito--cogito-v2-preview-llama-70B/snapshots/1e1d12e8eaebd6084a8dcf45ecdeaa2f4b8879ce 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--BruhzWater--Apocrypha-L3.3-70b-0.4a/snapshots/64723af7b548b0f19e8b4b3867117393282c7839
parameters:
weight: 0.5
density: 0.7
epsilon: 0.25
- model: /workspace/prototype-0.4x310
parameters:
weight: 0.5
density: 0.7
epsilon: 0.25
base_model: /workspace/cache/models--deepcogito--cogito-v2-preview-llama-70B/snapshots/1e1d12e8eaebd6084a8dcf45ecdeaa2f4b8879ce
merge_method: della
parameters:
normalize: false
lambda: 1.15
chat_template: llama3
pad_to_multiple_of: 8
int8_mask: true
tokenizer:
source: base
dtype: float32
out_dtype: bfloat16