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README.md
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task vector optimization checkpoint ready for merging.
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trained on MFANN for 12000 steps, however due to a slightly higher training loss, im going to merge this model with the last version and retrain, the goal was to use DARE-TIES to reduce the parameters used per vector, and this model will now be merged with the last model before DARE using TIES alone, and will be subsequently retrained.
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---
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license: mit
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datasets:
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- netcat420/MFANN
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language:
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- en
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pipeline_tag: text-generation
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---
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task vector optimization checkpoint ready for merging.
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trained on MFANN for 12000 steps, however due to a slightly higher training loss, im going to merge this model with the last version and retrain, the goal was to use DARE-TIES to reduce the parameters used per vector, and this model will now be merged with the last model before DARE using TIES alone, and will be subsequently retrained.
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