Instruction Tuning & Efficient Fine-Tuning2 / 6
Instruction Tuning & Efficient Fine-Tuning
Implement a LoRA-wrapped linear layer (frozen trainable scaled by ). [HuggingFace]
class LoRALinearComplete the starter code in the editor. Any correct approach is accepted.
import math
import torch
import torch.nn as nn
class LoRALinear(nn.Module):
def __init__(self, base: nn.Linear, r: int=8, alpha: int=16, dropout: float=0.0):
raise NotImplementedError
def forward(self, x):
raise NotImplementedError
@torch.no_grad()
def merge(self):
raise NotImplementedError⌘/Ctrl↵to submit
Submit your solution for a score and feedback on correctness, edge cases, and clarity. Any correct approach is accepted.
Instruction Tuning & Efficient Fine-Tuning
Implement a LoRA-wrapped linear layer (frozen trainable scaled by ). [HuggingFace]
class LoRALinearComplete the starter code in the editor. Any correct approach is accepted.