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scope flash-attn+qlora fix correctly, scope to llama, add comment

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This commit is contained in:
Aman Karmani
2023-08-03 19:19:39 +00:00
parent 312a9fad07
commit 78b9efb7f4
1 changed files with 8 additions and 6 deletions
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14
src/axolotl/utils/models.py
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@@ -333,13 +333,15 @@ def load_model(
model, use_gradient_checkpointing=cfg.gradient_checkpointing model, use_gradient_checkpointing=cfg.gradient_checkpointing
) )
if cfg.flash_attention: # LlamaRMSNorm layers are in fp32 after kit call, so we need to
for name, module in model.named_modules(): # convert them back to fp16/bf16 for flash-attn compatibility.
if "norm" in name: if cfg.flash_attention and cfg.is_llama_derived_model:
module.to(torch_dtype) for name, module in model.named_modules():
if "lm_head" in name or "embed_tokens" in name: if "norm" in name:
if hasattr(module, "weight"):
module.to(torch_dtype) module.to(torch_dtype)
if "lm_head" in name or "embed_tokens" in name:
if hasattr(module, "weight"):
module.to(torch_dtype)
model, lora_config = load_adapter(model, cfg, adapter) model, lora_config = load_adapter(model, cfg, adapter)