ensure merged model matches the training dtype #902
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winglian
commented
Nov 29, 2023
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Perhaps, some individuals "might" want fp32? We should respect same dtype as in training. You might want to do |
winglian
commented
Nov 29, 2023
mkeoliya
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Dec 15, 2023
* ensure merged model matches the training dtype * Update src/axolotl/cli/__init__.py * Update src/axolotl/cli/__init__.py
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seems like all the lora merges are fp16. matching the training would open up bfloat16 support which should be better.