Implement non-greedy tokenizer that tries to maximize token lengths #242
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Although I haven't examined the code, I've tested it on several prompts and can already conclude that this patch allows Llama to write in French. |
j-f1
reviewed
Mar 17, 2023
Piezoid
reviewed
Mar 17, 2023
| @@ -846,6 +846,7 @@ int main(int argc, char ** argv) { | |||
| std::vector<float> logits; | |||
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| // tokenize the prompt | |||
| params.prompt.insert(0, 1, ' '); | |||
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Is the space meant to be a separate token? I noticed that it often get fused with the first user provided token.
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It should be fused to the first token! This is how original python llama code parses it.
I can dig out more details if you want.
ggerganov
approved these changes
Mar 17, 2023
- this is to match original llama tokenizer behavior
mudler
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Mar 17, 2023
…gml-org#242) * Implement non-greedy tokenizer that tries to maximize token lengths * Insert single space in front of the prompt - this is to match original llama tokenizer behavior --------- Co-authored-by: Jakub Horak <[email protected]>
antimatter15
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Mar 18, 2023
…gml-org#242) * Implement non-greedy tokenizer that tries to maximize token lengths * Insert single space in front of the prompt - this is to match original llama tokenizer behavior --------- Co-authored-by: Jakub Horak <[email protected]>
gyohng
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Mar 26, 2023
…gml-org#242) * Implement non-greedy tokenizer that tries to maximize token lengths * Insert single space in front of the prompt - this is to match original llama tokenizer behavior --------- Co-authored-by: Jakub Horak <[email protected]>
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