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Add typo checker in pre-commit (#6179)

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Co-authored-by: Brayden Zhong <b8zhong@uwaterloo.ca>
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applesaucethebun
2025-05-11 00:55:00 -04:00
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parent de167cf5fa
commit 2ce8793519
99 changed files with 154 additions and 144 deletions
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docs/backend/speculative_decoding.ipynb
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@@ -11,7 +11,7 @@
"\n",
"### Performance Highlights\n",
"\n",
"Please see below for the huge improvements on throughput for LLaMA-Instruct 3.1 8B tested on MT bench that can be archieved via EAGLE3 decoding.\n",
"Please see below for the huge improvements on throughput for LLaMA-Instruct 3.1 8B tested on MT bench that can be achieved via EAGLE3 decoding.\n",
"For further details please see the [EAGLE3 paper](https://arxiv.org/pdf/2503.01840).\n",
"\n",
"| Method | Throughput (tokens/s) |\n",
@@ -296,7 +296,7 @@
"- EAGLE-2 additionally uses the draft model to evaluate how probable certain branches in the draft tree are, dynamically stopping the expansion of unlikely branches. After the expansion phase, reranking is employed to select only the top `speculative_num_draft_tokens` final nodes as draft tokens.\n",
"- EAGLE-3 removes the feature prediction objective, incorporates low and mid-layer features, and is trained in an on-policy manner.\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. Furthermore the dynamic adjustment of the draft tree and selection of reranked final nodes increases acceptance rate of draft tokens further. For more details see [EAGLE-2](https://arxiv.org/abs/2406.16858) and [EAGLE-3](https://arxiv.org/abs/2503.01840) paper.\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 additionally to minimize randomness effects from sampling. Furthermore the dynamic adjustment of the draft tree and selection of reranked final nodes increases acceptance rate of draft tokens further. For more details see [EAGLE-2](https://arxiv.org/abs/2406.16858) and [EAGLE-3](https://arxiv.org/abs/2503.01840) paper.\n",
"\n",
"\n",
"For guidance how to train your own EAGLE model please see the [EAGLE repo](https://github.com/SafeAILab/EAGLE/tree/main?tab=readme-ov-file#train)."