323da791eb
* bump transformers to 5.5.4 and trl to latest 1.1.0 * more upgrades * update peft too * adapt lora_merge to peft 0.19 layer config API PEFT 0.19 requires a LoraConfig object on Linear/ParamWrapper/Conv layer constructors and moved use_rslora, use_dora, fan_in_fan_out, lora_dropout, and lora_bias into that config. Build the config per branch in _build_peft_layer_and_get_delta so the merge utility works with the upgraded peft. * allow lora_dropout on mixed attention+MoE configs under peft 0.19 PEFT 0.19's convert_peft_config_for_transformers auto-remaps old MoE target_modules (w1/w2/w3 on Mixtral, etc.) into target_parameters for transformers v5's fused 3D expert Parameters. Those targets get wrapped with ParamWrapper, which rejects lora_dropout != 0 because the 3D einsum can't factor dropout out of lora_B(lora_A(dropout(x))). Monkeypatch ParamWrapper.__init__ to internally use a copy of the LoraConfig with lora_dropout=0, so its dropout slot becomes nn.Identity while the shared config still delivers real dropout to sibling Linear LoRA layers (attention q/k/v/o). A probe runs the same conversion on a deep copy to detect the situation and emit a warning before patching.
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