| 163 | """ |
| 164 | |
| 165 | def __init__(self, model_args: ModelArgs): |
| 166 | super().__init__() |
| 167 | self.n_heads = model_args.n_heads |
| 168 | self.n_kv_heads = ( |
| 169 | model_args.n_heads |
| 170 | if model_args.n_kv_heads is None |
| 171 | else model_args.n_kv_heads |
| 172 | ) |
| 173 | self.n_rep = self.n_heads // self.n_kv_heads |
| 174 | self.head_dim = model_args.dim // model_args.n_heads |
| 175 | |
| 176 | self.wq = nn.Linear( |
| 177 | model_args.dim, model_args.n_heads * self.head_dim, bias=False |
| 178 | ) |
| 179 | self.wk = nn.Linear(model_args.dim, self.n_kv_heads * self.head_dim, bias=False) |
| 180 | self.wv = nn.Linear(model_args.dim, self.n_kv_heads * self.head_dim, bias=False) |
| 181 | self.wo = nn.Linear( |
| 182 | model_args.n_heads * self.head_dim, model_args.dim, bias=False |
| 183 | ) |
| 184 | |
| 185 | def init_weights(self, init_std: float): |
| 186 | for linear in (self.wq, self.wk, self.wv): |