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ucsahin-TraVisionLM-base-QUANTO-int8bit-smashed

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• "transformers.models.siglip.modeling_siglip.SiglipVisionModel",
• "torch.FloatStorage",
• "transformers.generation.configuration_utils.GenerationConfig",
• "transformers_modules.ucsahin.TraVisionLM-base.6809b320caef3ad10c67a9f182cdbea59ef4c257.configuration_travisionlm.TraVisionLMConfig",
• "torch._utils._rebuild_parameter",
• "transformers.models.gpt2.modeling_gpt2.GPT2Block",
• "torch.float32",
• "transformers_modules.ucsahin.TraVisionLM-base.6809b320caef3ad10c67a9f182cdbea59ef4c257.modeling_travisionlm.TraVisionMultiModalProjector",
• "transformers_modules.ucsahin.TraVisionLM-base.6809b320caef3ad10c67a9f182cdbea59ef4c257.modeling_travisionlm.TraVisionForCausalLM",
• "transformers.models.siglip.configuration_siglip.SiglipVisionConfig",
• "transformers.models.siglip.modeling_siglip.SiglipEncoder",
• "transformers.activations.NewGELUActivation",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.container.ModuleList",
• "torch.BoolStorage",
• "transformers.models.siglip.modeling_siglip.SiglipVisionEmbeddings",
• "collections.OrderedDict",
• "transformers.models.gpt2.configuration_gpt2.GPT2Config",
• "transformers.activations.PytorchGELUTanh",
• "transformers.models.gpt2.modeling_gpt2.GPT2MLP",
• "torch.nn.modules.activation.MultiheadAttention",
• "torch.nn.modules.container.Sequential",
• "torch.int8",
• "torch.LongStorage",
• "torch.nn.modules.activation.GELU",
• "transformers.models.gpt2.modeling_gpt2.GPT2SdpaAttention",
• "quanto.nn.qlinear.QLinear",
• "transformers.models.siglip.modeling_siglip.SiglipVisionTransformer",
• "quanto.nn.qconv2d.QConv2d",
• "__builtin__.set",
• "quanto.tensor.qtype.qtype",
• "torch.nn.modules.normalization.LayerNorm",
• "transformers.models.siglip.modeling_siglip.SiglipMultiheadAttentionPoolingHead",
• "transformers.models.siglip.modeling_siglip.SiglipEncoderLayer",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.siglip.modeling_siglip.SiglipAttention",
• "transformers.models.siglip.modeling_siglip.SiglipMLP",
• "transformers.models.gpt2.modeling_gpt2.GPT2Model",
• "transformers.pytorch_utils.Conv1D",
• "torch.nn.modules.sparse.Embedding",
• "torch.device",
• "transformers.models.gpt2.modeling_gpt2.GPT2LMHeadModel"

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