Fix maximum value check for token_batch_size to allow larger values#130
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luciaquirke merged 1 commit intoEleutherAI:mainfrom Feb 9, 2026
Merged
Fix maximum value check for token_batch_size to allow larger values#130luciaquirke merged 1 commit intoEleutherAI:mainfrom
luciaquirke merged 1 commit intoEleutherAI:mainfrom
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luciaquirke
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Jan 30, 2026
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LGTM + thanks very much for the fix! let's merge when conflicts are resolved |
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@claude could you please fix the merge conflicts |
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Claude encountered an error —— View job I'll analyze this and get back to you. |
Previously, token_batch_size was limited by max_position_embeddings, but this is the maximum length of one sequence, and a batch can contain multiple sequences. As far as I can tell, the real limit is the default value of model_max_length in the tokenizer (some models have model_max_length == max_position_embeddings which causes this confusion). We also make the truncation logic more explicit by passing a max_length parameter instead of mutating model_max_len.
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Rebased. |
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Previously, token_batch_size was limited by max_position_embeddings, but this is the maximum length of one sequence, and a batch can contain multiple sequences. As far as I can tell, the real limit is the default value of model_max_length in the tokenizer (some models have model_max_length == max_position_embeddings which causes this confusion).
We also make the truncation logic more explicit by passing a max_length parameter instead of mutating model_max_len.