Upload tokenizer_config.json
Browse filesThe current chat_template adds an extra `chatML` EOS token when `add_generation_prompt=False`.
Please replace it with the correct chat_template to fix this behavior.
```
from transformers import AutoTokenizer
message = [{"role": "user" , "content": 'How are you?'}]
tame_tokenizer = AutoTokenizer.from_pretrained("yentinglin/Llama-3-Taiwan-8B-Instruct")
tame_tokenizer.apply_chat_template(message, tokenize=False, add_generation_prompt=False)
```
You can see an extra `<|im_end|>` token in the output :
```
<|begin_of_text|><|start_header_id|>user<|end_header_id|>\n\nHow are you?<|eot_id|><|im_end|>
```
- tokenizer_config.json +2 -19
tokenizer_config.json
CHANGED
@@ -2047,33 +2047,16 @@
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"128256": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"128257": {
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": false
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}
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},
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"bos_token": "<|begin_of_text|>",
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-
"chat_template": "{%
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"clean_up_tokenization_spaces": true,
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-
"eos_token": "<|
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<|end_of_text|>",
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<|begin_of_text|>",
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+
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|eot_id|>",
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 1000000000000000019884624838656,
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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