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updated RoPE statement #423

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merged 3 commits into from
Oct 30, 2024
Merged

updated RoPE statement #423

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af0445a
updated RoPE statement
d-kleine Oct 30, 2024
29336e0
updated .gitignore
d-kleine Oct 30, 2024
217a888
Update ch05/07_gpt_to_llama/converting-gpt-to-llama2.ipynb
rasbt Oct 30, 2024
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2 changes: 2 additions & 0 deletions .gitignore
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Expand Up @@ -44,6 +44,8 @@ ch05/07_gpt_to_llama/Llama-3.1-8B
ch05/07_gpt_to_llama/Llama-3.1-8B-Instruct
ch05/07_gpt_to_llama/Llama-3.2-1B
ch05/07_gpt_to_llama/Llama-3.2-1B-Instruct
ch05/07_gpt_to_llama/Llama-3.2-3B
ch05/07_gpt_to_llama/Llama-3.2-3B-Instruct

ch06/01_main-chapter-code/gpt2
ch06/02_bonus_additional-experiments/gpt2
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2 changes: 1 addition & 1 deletion ch05/07_gpt_to_llama/converting-gpt-to-llama2.ipynb
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Expand Up @@ -409,7 +409,7 @@
"self.pos_emb = nn.Embedding(cfg[\"context_length\"], cfg[\"emb_dim\"])\n",
"```\n",
"\n",
"- Instead of these absolute positional embeddings, Llama uses relative positional embeddings, called rotary position embeddings (RoPE for short)\n",
"- Unlike traditional absolute positional embeddings, Llama uses rotary position embeddings (RoPE), which enable it to capture both absolute and relative positional information simultaneously\n",
"- The reference paper for RoPE is [RoFormer: Enhanced Transformer with Rotary Position Embedding (2021)](https://arxiv.org/abs/2104.09864)"
]
},
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