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mqa -> gqa to reduce confusion

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This commit is contained in:
Andrej Karpathy 2025-11-15 15:43:37 +00:00
parent f66a780f68
commit bc1fca39f3
1 changed files with 2 additions and 2 deletions
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nanochat/gpt.py
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@ -8,7 +8,7 @@ Notable features:
- norm after token embedding
- no learnable params in rmsnorm
- no bias in linear layers
- Multi-Query Attention (MQA) support for more efficient inference
- Group-Query Attention (GQA) support for more efficient inference
"""
import math
@ -29,7 +29,7 @@ class GPTConfig:
vocab_size: int = 50304
n_layer: int = 12
n_head: int = 6 # number of query heads
n_kv_head: int = 6 # number of key/value heads (MQA)
n_kv_head: int = 6 # number of key/value heads (GQA)
n_embd: int = 768