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[mlx-lm] Add precompiled normalizations (#451)

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* add precompiled normalizations

* nits
This commit is contained in:
Awni Hannun
2024-02-22 12:40:55 -08:00
committed by GitHub
parent 97c09a863d
commit f24edfa9dc
13 changed files with 74 additions and 105 deletions
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15
llms/mlx_lm/models/plamo.py
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@@ -6,6 +6,7 @@ import mlx.nn as nn
import numpy as np
from .base import BaseModelArgs
from .layers import RMSNorm
@dataclass
@@ -22,20 +23,6 @@ class ModelArgs(BaseModelArgs):
rope_traditional: bool = False
class RMSNorm(nn.Module):
def __init__(self, dims: int, eps: float = 1e-5):
super().__init__()
self.weight = mx.ones((dims,))
self.variance_epsilon = eps
def _norm(self, x):
return x * mx.rsqrt(x.square().mean(-1, keepdims=True) + self.variance_epsilon)
def __call__(self, x):
output = self._norm(x.astype(mx.float32)).astype(x.dtype)
return self.weight * output
class Attention(nn.Module):
def __init__(self, config: ModelArgs) -> None:
super().__init__()