add Moslora #9331
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add Moslora #9331
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## develop #9331 +/- ##
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+ Coverage 52.91% 53.10% +0.19%
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Files 679 685 +6
Lines 108433 108855 +422
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+ Hits 57378 57810 +432
+ Misses 51055 51045 -10 ☔ View full report in Codecov by Sentry. 🚨 Try these New Features:
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lugimzzz
reviewed
Nov 21, 2024
llm/tools/merge_lora_params.py
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| @@ -86,16 +86,25 @@ def lora_process(name, lora_config, state_dict, device, lora_state_dict=None): | |||
| return | |||
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| weight = state_dict.pop(name + ".weight") | |||
| lora_use_mixer = (lora_state_dict is not None and name + ".lora_AB" in lora_state_dict) or ( | |||
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建议lora_use_mixer直接从lora_config读取不要用state dict的key判断
llm/tools/merge_lora_params.py
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| lora_AB = lora_AB.astype("float32") | ||
| out = (weight + lora_A @ lora_AB @ lora_B * scaling).astype("bfloat16") | ||
| else: | ||
| out = (weight + lora_A @ lora_B * scaling).astype("bfloat16") |
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这里astype改成lora_config里的dtype，原本写的有问题
| @@ -209,6 +209,9 @@ class ModelArgument: | |||
| rslora: bool = field(default=False, metadata={"help": "Whether to use RsLoRA"}) | |||
| lora_plus_scale: float = field(default=1.0, metadata={"help": "Lora B scale in LoRA+ technique"}) | |||
| pissa: bool = field(default=False, metadata={"help": "Whether to use Pissa: https://arxiv.org/pdf/2404.02948.pdf"}) | |||
| lora_use_mixer: bool = field( | |||
| default=False, metadata={"help": "Whether to use MosLoRA: https://arxiv.org/pdf/2406.11909"} | |||
| @@ -443,6 +443,7 @@ def _find_and_replace_module(self, model, module_name, lora_config, enable_lora) | |||
| pissa=lora_config.pissa, | |||
| bias_attr=False if module.bias is None else None, | |||
| use_quick_lora=lora_config.use_quick_lora, | |||
| lora_use_mixer=lora_config.lora_use_mixer, | |||
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在loramodel的init里if (tensor_parallel_degree >1 or pipeline_parallel_degree > 1) and lora_config.lora_use_mixer: raise NotImplementError（"xxx"）
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add moslora at peft/lora
Description
add moslora method