EAGLE docs #4038
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EAGLE docs #4038
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@shuaills @zhaochenyang20 could you take a look at this. |
zhyncs
requested changes
Mar 3, 2025
| "* EAGLE predicts the next feature vector, i.e. the last hidden layer of the original LLM, using the feature sequence $(f_1, ..., f_k)$ and the token sequence $(t_2, ..., t_{k+1})$. \n", | ||
| "* The next token is than sampled from $p_{k+2}=LMHead(f_{k+1})$. We'll than extend the two sequences and continue.\n", | ||
| "\n", | ||
| "This enhances drafting accuracy by operating on the features instead of tokens for more regular inputs and passing the tokens from the next timestep additionaly to minimize randomness effects from sampling. For more details see [the paper](https://arxiv.org/abs/2401.15077).\n", |
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We use EAGLE 2 not EAGLE https://arxiv.org/abs/2406.16858
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i will take a look at the difference tomorrow and adjust accordingly. sorry for that mistake.
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@simveit Thanks. Will review it later. |
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@zhaochenyang20 @zhyncs I added a little bit more text to include the additional improvment through EAGLE2 in my understanding. Please let me know if it's correct. |
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Motivation
More details and explanation in EAGLE docs.
Checklist