Instructions to use canTooDdev/llama3waltbase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use canTooDdev/llama3waltbase with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2") model = PeftModel.from_pretrained(base_model, "canTooDdev/llama3waltbase") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- special_tokens_map.json +7 -1
- tokenizer_config.json +2 -2
special_tokens_map.json
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"rstrip": false,
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"single_word": false
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},
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"pad_token":
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}
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|finetune_right_pad_id|>",
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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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}
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}
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tokenizer_config.json
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"attention_mask"
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],
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"model_max_length": 131072,
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"pad_token": "<|
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"padding_side": "
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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"attention_mask"
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],
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"model_max_length": 131072,
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"pad_token": "<|finetune_right_pad_id|>",
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"padding_side": "left",
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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