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modeling_micro_distill.py
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# modeling_micro_distill.py
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# Custom model architecture for micro-distill-grpo-vae
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import torch
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import torch.nn as nn
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from transformers import GPT2PreTrainedModel, GPT2Config
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class MicroDistillForCausalLM(GPT2PreTrainedModel):
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def __init__(self, config):
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super().__init__(config)
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self.config = config
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# ... modeling code ...
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def forward(self, input_ids=None, attention_mask=None, **kwargs):
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# Forward pass implementation
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pass
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