Llama_3.2_1b_Abliteratest_SCE / mergekit_config.yml
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models:
- model: Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated
parameters:
weight: 1.2 # Slightly favor
density: 0.9 # Sparsified a bit to reduce noise
- model: Nexesenex/pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL
parameters:
weight: 1.0
density: 0.9
- model: prithivMLmods/Bellatrix-Tiny-1B-v3-abliterated
parameters:
weight: 1.0
density: 0.9
merge_method: sce # SCE for adaptive weighting
base_model: huihui-ai/Llama-3.2-1B-Instruct-abliterated
parameters:
normalize: true
int8_mask: true
rescale: true
filter_wise: false
smooth: false
allow_negative_weights: false
lambda: 1.0
select_topk: 0.1 # Retain the top 10% high-variance elements
tokenizer:
source: union # Union to combine vocabularies
chat_template: auto
dtype: bfloat16
out_dtype: bfloat16