fix: gemma3_text model loading vision config (#3354)
* fix: gemma3-text mode loading vision config * fix: improve defaults to use lora kernels
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@@ -1,6 +1,7 @@
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base_model: google/gemma-3-1b-it
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model_type: Gemma3ForCausalLM
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cls_model_config: Gemma3TextConfig
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# Automatically upload checkpoint and final model to HF
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# hub_model_id: username/custom_model_name
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@@ -29,7 +30,7 @@ output_dir: ./outputs/out
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adapter: qlora
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lora_r: 32
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lora_alpha: 16
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lora_dropout: 0.05
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lora_dropout: 0
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lora_target_linear: true
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sequence_len: 2048
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@@ -1,6 +1,7 @@
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base_model: google/gemma-3-270m-it
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model_type: Gemma3ForCausalLM
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cls_model_config: Gemma3TextConfig
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# Automatically upload checkpoint and final model to HF
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# hub_model_id: username/custom_model_name
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@@ -29,7 +30,7 @@ output_dir: ./outputs/out
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adapter: qlora
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lora_r: 32
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lora_alpha: 16
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lora_dropout: 0.05
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lora_dropout: 0
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lora_target_linear: true
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sequence_len: 2048
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@@ -2,6 +2,7 @@ base_model: google/gemma-3-4b-it
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# Need to set else transformers tries to load vision too
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model_type: Gemma3ForCausalLM
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cls_model_config: Gemma3TextConfig
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load_in_4bit: true
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@@ -32,8 +33,8 @@ sample_packing: true
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lora_r: 32
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lora_alpha: 16
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lora_dropout: 0.05
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lora_target_modules: 'model.language_model.layers.[\d]+.(mlp|cross_attn|self_attn).(up|down|gate|q|k|v|o)_proj'
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lora_dropout: 0
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lora_target_linear: true
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wandb_project:
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wandb_entity:
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@@ -31,7 +31,7 @@ pad_to_sequence_len: false
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lora_r: 32
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lora_alpha: 16
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lora_dropout: 0.05
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lora_dropout: 0
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lora_target_modules: 'model.language_model.layers.[\d]+.(mlp|cross_attn|self_attn).(up|down|gate|q|k|v|o)_proj'
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wandb_project:
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