fix typo: tokenzier -> tokenizer

h-guo18 · h-guo18 · commit 4eaafb23e696 · 2026-04-19T23:30:24.000Z
Signed-off-by: h-guo18 &lt;67671475+h-guo18@users.noreply.github.com&gt;
diff --git a/modelopt/torch/speculative/plugins/modeling_eagle.py b/modelopt/torch/speculative/plugins/modeling_eagle.py
@@ -46,7 +46,7 @@ def __init__(self, config, decoder_layer_cls, bias=False):
                 "EAGLE module's vocab size should be <= base model vocab size!"
             )
             # Initialize the buffers to zero.
-            # Their values depend on specific tokenzier and calibrate dataset, and should be set in training script.
+            # Their values depend on specific tokenizer and calibration dataset, and should be set in training script.
             if config.draft_vocab_size < config.vocab_size:
                 self.register_buffer("d2t", torch.zeros(config.draft_vocab_size, dtype=torch.int64))
             self.lm_head = nn.Linear(

Original file line number	Diff line number	Diff line change
`@@ -46,7 +46,7 @@ def __init__(self, config, decoder_layer_cls, bias=False):`
`46`	`46`	`"EAGLE module's vocab size should be <= base model vocab size!"`
`47`	`47`	`)`
`48`	`48`	`# Initialize the buffers to zero.`
`49`		`- # Their values depend on specific tokenzier and calibrate dataset, and should be set in training script.`
	`49`	`+ # Their values depend on specific tokenizer and calibration dataset, and should be set in training script.`
`50`	`50`	`if config.draft_vocab_size < config.vocab_size:`
`51`	`51`	`self.register_buffer("d2t", torch.zeros(config.draft_vocab_size, dtype=torch.int64))`
`52`	`52`	`self.lm_head = nn.Linear(`