Instructions to use debisoft/mistral-nemo-minitron-8B-thinking-function_calling-V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debisoft/mistral-nemo-minitron-8B-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("debisoft/mistral-nemo-minitron-8B-thinking-function_calling-V0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- .gitattributes +1 -0
- special_tokens_map.json +36 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<tools>",
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"</tools>",
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"<think>",
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"</think>",
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"<tool_call>",
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"</tool_call>",
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"<tool_reponse>",
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"</tool_reponse>",
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"<pad>",
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"<eos>"
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],
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"bos_token": {
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"content": "<s>",
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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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"eos_token": "<eos>",
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"pad_token": {
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"content": "<pad>",
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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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"unk_token": {
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"content": "<unk>",
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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.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:5bbc677e7ce9f41311346f6ad61be5fe10016ad30a869d6678685926b62e1447
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size 17079972
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tokenizer_config.json
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