fix constants
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23916d57c1
commit
485fc04716
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@ -896,7 +896,7 @@ register_model_group(
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"LLaVA-NeXT-Video-7B-32k-Chat": {
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DownloadSource.DEFAULT: "llava-hf/LLaVA-NeXT-Video-7B-32K-hf",
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},
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"LLaVA-NeXT-Video-7B-DPO": {
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"LLaVA-NeXT-Video-7B-DPO-Chat": {
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DownloadSource.DEFAULT: "llava-hf/LLaVA-NeXT-Video-7B-DPO-hf",
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},
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},
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@ -910,7 +910,7 @@ register_model_group(
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"LLaVA-NeXT-Video-Yi-34B-Chat": {
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DownloadSource.DEFAULT: "llava-hf/LLaVA-NeXT-Video-34B-hf",
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},
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"LLaVA-NeXT-Video-Yi-34B-DPO": {
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"LLaVA-NeXT-Video-Yi-34B-DPO-Chat": {
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DownloadSource.DEFAULT: "llava-hf/LLaVA-NeXT-Video-34B-DPO-hf",
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},
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},
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@ -34,7 +34,7 @@ def find_all_linear_modules(model: "PreTrainedModel", freeze_vision_tower: bool)
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forbidden_modules.add("output_layer")
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elif model_type == "internlm2":
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forbidden_modules.add("output")
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elif model_type in ["llava", "paligemma", "video_llava"] or "llava_next" in model_type:
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elif model_type in ["llava", "llava_next", "llava_next_video", "paligemma", "video_llava"]:
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forbidden_modules.add("multi_modal_projector")
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elif model_type == "qwen2_vl":
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forbidden_modules.add("merger")
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@ -92,7 +92,7 @@ def autocast_projector_dtype(model: "PreTrainedModel", model_args: "ModelArgumen
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if getattr(model, "quantization_method", None):
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model_type = getattr(model.config, "model_type", None)
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if model_type in ["llava", "paligemma", "video_llava"] or "llava_next" in model_type:
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if model_type in ["llava", "llava_next", "llava_next_video", "paligemma", "video_llava"]:
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mm_projector: "torch.nn.Module" = getattr(model, "multi_modal_projector")
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elif model_type == "qwen2_vl":
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mm_projector: "torch.nn.Module" = getattr(getattr(model, "visual"), "merger")
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@ -108,9 +108,13 @@ def configure_visual_model(config: "PretrainedConfig") -> None:
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Patches VLMs before loading them.
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"""
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model_type = getattr(config, "model_type", None)
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if (
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model_type in ["llava", "video_llava"] or "llava_next" in model_type
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): # required for ds zero3 and valuehead models
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if model_type in [
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"llava",
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"llava_next",
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"llava_next_video",
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"paligemma",
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"video_llava",
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]: # required for ds zero3 and valuehead models
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setattr(config, "hidden_size", getattr(config.text_config, "hidden_size", None))
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if getattr(config, "is_yi_vl_derived_model", None):
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@ -124,7 +128,7 @@ def get_forbidden_modules(config: "PretrainedConfig", finetuning_args: "Finetuni
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"""
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model_type = getattr(config, "model_type", None)
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forbidden_modules = set()
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if model_type in ["llava", "paligemma", "video_llava"] or "llava_next" in model_type:
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if model_type in ["llava", "llava_next", "llava_next_video", "paligemma", "video_llava"]:
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if finetuning_args.freeze_vision_tower:
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forbidden_modules.add("vision_tower")
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@ -182,7 +186,7 @@ def patch_target_modules(
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"""
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model_type = getattr(config, "model_type", None)
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if finetuning_args.freeze_vision_tower:
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if model_type in ["llava", "paligemma", "video_llava"] or "llava_next" in model_type:
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if model_type in ["llava", "llava_next", "llava_next_video", "paligemma", "video_llava"]:
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return "^(?!.*vision_tower).*(?:{}).*".format("|".join(target_modules))
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elif model_type == "qwen2_vl":
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return "^(?!.*visual).*(?:{}).*".format("|".join(target_modules))
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