Ruurd

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tini_model

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• "transformers.models.llama.modeling_llama.LlamaMLP",
• "peft.tuners.lora.model.LoraModel",
• "transformers.models.llama.modeling_llama.LlamaRotaryEmbedding",
• "__main__.CustomTransformerModel",
• "__builtin__.set",
• "__builtin__.getattr",
• "peft.peft_model.PeftModel",
• "collections.OrderedDict",
• "peft.tuners.lora.config.LoraConfig",
• "torch._utils._rebuild_parameter",
• "torch.HalfStorage",
• "torch.FloatStorage",
• "__main__.CustomTransformerConfig",
• "transformers.modeling_rope_utils._compute_llama3_parameters",
• "transformers.models.llama.configuration_llama.LlamaConfig",
• "torch._utils._rebuild_tensor_v2",
• "torch.float16",
• "peft.tuners.lora.layer.Linear",
• "peft.tuners.lora.config.LoraRuntimeConfig",
• "torch.nn.modules.sparse.Embedding",
• "torch.nn.modules.linear.Identity",
• "transformers.models.llama.modeling_llama.LlamaForCausalLM",
• "transformers.models.llama.modeling_llama.LlamaRMSNorm",
• "transformers.models.llama.modeling_llama.LlamaAttention",
• "torch.nn.modules.activation.SiLU",
• "peft.utils.peft_types.PeftType",
• "torch.nn.modules.linear.Linear",
• "transformers.models.llama.modeling_llama.LlamaModel",
• "transformers.generation.configuration_utils.GenerationConfig",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.container.ModuleDict",
• "transformers.models.llama.modeling_llama.LlamaDecoderLayer",
• "torch.nn.modules.container.ParameterDict"

How to fix it?

• "torch.nn.modules.container.ParameterDict",
• "peft.utils.peft_types.PeftType",
• "transformers.models.llama.modeling_llama.LlamaForCausalLM",
• "torch.nn.modules.linear.Identity",
• "collections.OrderedDict",
• "__builtin__.getattr",
• "torch.float16",
• "peft.tuners.lora.config.LoraConfig",
• "torch.nn.modules.linear.Linear",
• "peft.tuners.lora.model.LoraModel",
• "torch.nn.modules.activation.SiLU",
• "transformers.modeling_rope_utils._compute_llama3_parameters",
• "transformers.models.llama.modeling_llama.LlamaRotaryEmbedding",
• "transformers.models.llama.modeling_llama.LlamaDecoderLayer",
• "transformers.models.llama.modeling_llama.LlamaRMSNorm",
• "peft.tuners.lora.layer.Linear",
• "peft.peft_model.PeftModel",
• "transformers.models.llama.modeling_llama.LlamaModel",
• "transformers.models.llama.modeling_llama.LlamaMLP",
• "__builtin__.set",
• "__main__.CustomTransformerConfig",
• "torch._utils._rebuild_parameter",
• "transformers.generation.configuration_utils.GenerationConfig",
• "__main__.CustomTransformerModel",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.sparse.Embedding",
• "peft.tuners.lora.config.LoraRuntimeConfig",
• "torch.nn.modules.container.ModuleDict",
• "transformers.models.llama.modeling_llama.LlamaAttention",
• "torch.HalfStorage",
• "transformers.models.llama.configuration_llama.LlamaConfig",
• "torch.FloatStorage",
• "torch._utils._rebuild_tensor_v2"

How to fix it?