Instructions to use UlukaDev/bitnet-2digit-mult-expert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UlukaDev/bitnet-2digit-mult-expert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UlukaDev/bitnet-2digit-mult-expert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- .gitattributes +1 -0
- chat_template.jinja +1 -0
- tokenizer.json +3 -0
- tokenizer_config.json +15 -0
.gitattributes
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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chat_template.jinja
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{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = message['role'] | capitalize + ': '+ message['content'] | trim + '<|eot_id|>' %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant: ' }}{% endif %}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:8fc5ed64d17c57f61c0ef996ac8b3a8918e7d406866cc4a0292d362a31a217e4
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size 17210125
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "<|begin_of_text|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|eot_id|>",
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"is_local": false,
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"local_files_only": false,
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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": "<|eot_id|>",
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"tokenizer_class": "TokenizersBackend"
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}
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