Create README.md
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README.md
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---
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license: unknown
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language:
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- en
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pipeline_tag: conversational
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tags:
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- frankenmerge
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- 110b
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---
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# BigWeave v20 110b
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65a6db055c58475cf9e6def1/4CbbAN-X7ZWj702JrcCGH.png" width=600>
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The BigWeave models aim to experimentally identify merge settings for increasing model performance. The version number merely tracks various attempts and is not a quality indicator. Only results demonstrating good performance are retained and shared.
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# Prompting Format
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Mistral, Vicuna and Alpaca.
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# Merge process
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This is a merge of 152334H/miqu-1-70b-sf and lizpreciatior/lzlv_70b_fp16_hf. By conducting exl2 measurements, we identify the least important layers of lzlv. These least important layers are extended with layers in-between to create longer series of consecutive layers. These slices are then inserted into miqu.
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Merge configuration:
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```
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slices:
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- sources:
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- model: 152334H/miqu-1-70b-sf
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layer_range: [0, 1]
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- model: lizpreciatior/lzlv_70b_fp16_hf
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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: 152334H/miqu-1-70b-sf
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layer_range: [1,26]
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- sources:
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- model: lizpreciatior/lzlv_70b_fp16_hf
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layer_range: [9,44]
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- sources:
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- model: 152334H/miqu-1-70b-sf
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layer_range: [27,52]
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- sources:
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- model: lizpreciatior/lzlv_70b_fp16_hf
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layer_range: [45,60]
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- sources:
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- model: 152334H/miqu-1-70b-sf
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layer_range: [53,79]
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- sources:
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- model: 152334H/miqu-1-70b-sf
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layer_range: [79, 80]
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- model: lizpreciatior/lzlv_70b_fp16_hf
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layer_range: [79, 80]
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parameters:
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weight: 0
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merge_method: linear
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parameters:
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weight: 1.0
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dtype: float16
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tokenizer_source: 152334H/miqu-1-70b-sf
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```
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