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Switch to fast RMS/LN Norm (#603)

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* use nn.RMSNorm, use sdpa, cleanup

* bump mlx versions

* minor update

* use fast layer norm

* version bump

* update requirement for whisper

* update requirement for gguf
This commit is contained in:
Awni Hannun
2024-03-23 07:13:51 -07:00
committed by GitHub
parent fbed720d6f
commit b8a348c1b8
44 changed files with 144 additions and 1155 deletions
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5
llms/mlx_lm/models/cohere.py
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@@ -5,7 +5,6 @@ import mlx.core as mx
import mlx.nn as nn
from .base import BaseModelArgs
from .layers import LayerNorm
@dataclass
@@ -97,7 +96,7 @@ class TransformerBlock(nn.Module):
self.self_attn = Attention(args)
self.mlp = MLP(args.hidden_size, args.intermediate_size)
self.input_layernorm = LayerNorm(
self.input_layernorm = nn.LayerNorm(
args.hidden_size, eps=args.layer_norm_eps, bias=args.layer_norm_bias
)
self.args = args
@@ -125,7 +124,7 @@ class CohereModel(nn.Module):
self.layers = [
TransformerBlock(args=args) for _ in range(args.num_hidden_layers)
]
self.norm = LayerNorm(
self.norm = nn.LayerNorm(
args.hidden_size, eps=args.layer_norm_eps, bias=args.layer_norm_bias
)