tss-deposium

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gemma300-leaf-embeddings-test

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• "transformers.modeling_rope_utils._compute_default_rope_parameters",
• "tokenizers.Tokenizer",
• "transformers.models.gemma3.modeling_gemma3.Gemma3TextScaledWordEmbedding",
• "torch.float32",
• "torch.nn.modules.container.Sequential",
• "tokenizers.AddedToken",
• "transformers.models.gemma3.modeling_gemma3.Gemma3TextModel",
• "transformers.models.gemma3.modeling_gemma3.Gemma3Attention",
• "transformers.activations.GELUTanh",
• "torch.nn.modules.activation.GELU",
• "transformers.models.gemma.tokenization_gemma_fast.GemmaTokenizerFast",
• "transformers.models.gemma3.modeling_gemma3.Gemma3MLP",
• "__builtin__.set",
• "transformers.models.gemma3.modeling_gemma3.Gemma3DecoderLayer",
• "torch._C._nn.gelu",
• "transformers.models.gemma3.configuration_gemma3.Gemma3TextConfig",
• "src.models.student_model.LEAFStudent",
• "_codecs.encode",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.Linear",
• "transformers.models.gemma3.modeling_gemma3.Gemma3RMSNorm",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.gemma3.modeling_gemma3.Gemma3RotaryEmbedding",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.container.ModuleList",
• "tokenizers.models.Model",
• "functools.partial"

How to fix it?

• "transformers.modeling_rope_utils._compute_default_rope_parameters",
• "tokenizers.Tokenizer",
• "transformers.models.gemma3.modeling_gemma3.Gemma3TextScaledWordEmbedding",
• "torch.float32",
• "torch.nn.modules.container.Sequential",
• "tokenizers.AddedToken",
• "transformers.models.gemma3.modeling_gemma3.Gemma3TextModel",
• "transformers.models.gemma3.modeling_gemma3.Gemma3Attention",
• "transformers.activations.GELUTanh",
• "torch.QInt8Storage",
• "torch.nn.modules.activation.GELU",
• "transformers.models.gemma.tokenization_gemma_fast.GemmaTokenizerFast",
• "torch.ao.nn.quantized.dynamic.modules.linear.Linear",
• "transformers.models.gemma3.modeling_gemma3.Gemma3MLP",
• "torch._utils._rebuild_qtensor",
• "__builtin__.set",
• "torch.per_tensor_affine",
• "transformers.models.gemma3.modeling_gemma3.Gemma3DecoderLayer",
• "torch._C._nn.gelu",
• "transformers.models.gemma3.configuration_gemma3.Gemma3TextConfig",
• "torch.ao.nn.quantized.modules.linear.LinearPackedParams",
• "src.models.student_model.LEAFStudent",
• "_codecs.encode",
• "torch.FloatStorage",
• "torch._utils._rebuild_parameter",
• "transformers.models.gemma3.modeling_gemma3.Gemma3RMSNorm",
• "torch.ScriptObject",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.gemma3.modeling_gemma3.Gemma3RotaryEmbedding",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.dropout.Dropout",
• "torch.qint8",
• "torch.nn.modules.container.ModuleList",
• "tokenizers.models.Model",
• "functools.partial"

How to fix it?