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