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Fix qk_norm comment (#769)

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Sebastian Raschka 2025-08-15 08:38:48 -05:00 committed by GitHub
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commit e9c1c1da38
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2 changed files with 2 additions and 2 deletions
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2
ch05/11_qwen3/standalone-qwen3.ipynb
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@ -436,7 +436,7 @@
" \"n_layers\": 28, # Number of layers\n",
" \"hidden_dim\": 3072, # Size of the intermediate dimension in FeedForward\n",
" \"head_dim\": 128, # Size of the heads in GQA\n",
" \"qk_norm\": True, # Whether to normalize queries and values in GQA\n",
" \"qk_norm\": True, # Whether to normalize queries and keys in GQA\n",
" \"n_kv_groups\": 8, # Key-Value groups for grouped-query attention\n",
" \"rope_base\": 1_000_000.0, # The base in RoPE's \"theta\"\n",
" \"dtype\": torch.bfloat16, # Lower-precision dtype to reduce memory usage\n",

2
pkg/llms_from_scratch/qwen3.py
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@ -22,7 +22,7 @@ QWEN_CONFIG_06_B = {
"n_layers": 28, # Number of layers
"hidden_dim": 3072, # Size of the intermediate dimension in FeedForward
"head_dim": 128, # Size of the heads in GQA
"qk_norm": True, # Whether to normalize queries and values in GQA
"qk_norm": True, # Whether to normalize queries and keys in GQA
"n_kv_groups": 8, # Key-Value groups for grouped-query attention
"rope_base": 1_000_000.0, # The base in RoPE's "theta"
"dtype": torch.bfloat16, # Lower-precision dtype to reduce memory usage