40 lines
1.2 KiB
YAML
40 lines
1.2 KiB
YAML
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merge_method: linear # use linear so we can include multiple models, albeit at a zero weight
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parameters:
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weight: 1.0 # weight everything as 1 unless specified otherwise - linear with one model weighted at 1 is a no-op like passthrough
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slices:
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- sources:
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- model: openchat/openchat-3.5-0106
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layer_range: [0, 1]
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- model: teknium/OpenHermes-2.5-Mistral-7B
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layer_range: [0, 1]
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parameters:
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weight: 0
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- sources:
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- model: bardsai/jaskier-7b-dpo-v6.1
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layer_range: [1, 10]
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- sources:
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- model: senseable/WestLake-7B-v2
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layer_range: [10, 20]
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- sources:
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- model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
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layer_range: [20, 30]
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- sources:
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- model: paulml/OGNO-7B
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layer_range: [15, 25]
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- sources:
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- model: paulml/DPOB-INMTOB-7B
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layer_range: [22, 32]
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- sources:
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- model: mlabonne/AlphaMonarch-7B
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layer_range: [5, 15]
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- sources:
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- model: openchat/openchat-3.5-0106
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layer_range: [31, 32]
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- model: teknium/OpenHermes-2.5-Mistral-7B
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layer_range: [31, 32]
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parameters:
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weight: 0
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dtype: float16
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tokenizer_source: model:openchat/openchat-3.5-0106
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