Upload tokenizer
Browse files- README.md +201 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +301 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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special_tokens_map.json
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@@ -0,0 +1,30 @@
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false
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},
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"eos_token": {
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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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},
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"pad_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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"unk_token": {
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"content": "<unk>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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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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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"2": {
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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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"special": true
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},
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"32000": {
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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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"32001": {
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"content": "<|im_start|>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"32002": {
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"content": "<extra_token_0>",
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"lstrip": false,
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"normalized": true,
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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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"32003": {
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"content": "<extra_token_1>",
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55 |
+
"lstrip": false,
|
56 |
+
"normalized": true,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": false
|
60 |
+
},
|
61 |
+
"32004": {
|
62 |
+
"content": "<extra_token_2>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": true,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": false
|
68 |
+
},
|
69 |
+
"32005": {
|
70 |
+
"content": "<extra_token_3>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": true,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": false
|
76 |
+
},
|
77 |
+
"32006": {
|
78 |
+
"content": "<extra_token_4>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": true,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": false
|
84 |
+
},
|
85 |
+
"32007": {
|
86 |
+
"content": "<extra_token_5>",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": true,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": false,
|
91 |
+
"special": false
|
92 |
+
},
|
93 |
+
"32008": {
|
94 |
+
"content": "<extra_token_6>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": true,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": false,
|
99 |
+
"special": false
|
100 |
+
},
|
101 |
+
"32009": {
|
102 |
+
"content": "<extra_token_7>",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": true,
|
105 |
+
"rstrip": false,
|
106 |
+
"single_word": false,
|
107 |
+
"special": false
|
108 |
+
},
|
109 |
+
"32010": {
|
110 |
+
"content": "<extra_token_8>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": true,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": false
|
116 |
+
},
|
117 |
+
"32011": {
|
118 |
+
"content": "<extra_token_9>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": true,
|
121 |
+
"rstrip": false,
|
122 |
+
"single_word": false,
|
123 |
+
"special": false
|
124 |
+
},
|
125 |
+
"32012": {
|
126 |
+
"content": "<extra_token_10>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": true,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": false
|
132 |
+
},
|
133 |
+
"32013": {
|
134 |
+
"content": "<extra_token_11>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": true,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": false
|
140 |
+
},
|
141 |
+
"32014": {
|
142 |
+
"content": "<extra_token_12>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": true,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": false
|
148 |
+
},
|
149 |
+
"32015": {
|
150 |
+
"content": "<extra_token_13>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": true,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": false
|
156 |
+
},
|
157 |
+
"32016": {
|
158 |
+
"content": "<extra_token_14>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": true,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"32017": {
|
166 |
+
"content": "<extra_token_15>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": true,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"32018": {
|
174 |
+
"content": "<extra_token_16>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": true,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
},
|
181 |
+
"32019": {
|
182 |
+
"content": "<extra_token_17>",
|
183 |
+
"lstrip": false,
|
184 |
+
"normalized": true,
|
185 |
+
"rstrip": false,
|
186 |
+
"single_word": false,
|
187 |
+
"special": false
|
188 |
+
},
|
189 |
+
"32020": {
|
190 |
+
"content": "<extra_token_18>",
|
191 |
+
"lstrip": false,
|
192 |
+
"normalized": true,
|
193 |
+
"rstrip": false,
|
194 |
+
"single_word": false,
|
195 |
+
"special": false
|
196 |
+
},
|
197 |
+
"32021": {
|
198 |
+
"content": "<extra_token_19>",
|
199 |
+
"lstrip": false,
|
200 |
+
"normalized": true,
|
201 |
+
"rstrip": false,
|
202 |
+
"single_word": false,
|
203 |
+
"special": false
|
204 |
+
},
|
205 |
+
"32022": {
|
206 |
+
"content": "<extra_token_20>",
|
207 |
+
"lstrip": false,
|
208 |
+
"normalized": true,
|
209 |
+
"rstrip": false,
|
210 |
+
"single_word": false,
|
211 |
+
"special": false
|
212 |
+
},
|
213 |
+
"32023": {
|
214 |
+
"content": "<extra_token_21>",
|
215 |
+
"lstrip": false,
|
216 |
+
"normalized": true,
|
217 |
+
"rstrip": false,
|
218 |
+
"single_word": false,
|
219 |
+
"special": false
|
220 |
+
},
|
221 |
+
"32024": {
|
222 |
+
"content": "<extra_token_22>",
|
223 |
+
"lstrip": false,
|
224 |
+
"normalized": true,
|
225 |
+
"rstrip": false,
|
226 |
+
"single_word": false,
|
227 |
+
"special": false
|
228 |
+
},
|
229 |
+
"32025": {
|
230 |
+
"content": "<extra_token_23>",
|
231 |
+
"lstrip": false,
|
232 |
+
"normalized": true,
|
233 |
+
"rstrip": false,
|
234 |
+
"single_word": false,
|
235 |
+
"special": false
|
236 |
+
},
|
237 |
+
"32026": {
|
238 |
+
"content": "<extra_token_24>",
|
239 |
+
"lstrip": false,
|
240 |
+
"normalized": true,
|
241 |
+
"rstrip": false,
|
242 |
+
"single_word": false,
|
243 |
+
"special": false
|
244 |
+
},
|
245 |
+
"32027": {
|
246 |
+
"content": "<extra_token_25>",
|
247 |
+
"lstrip": false,
|
248 |
+
"normalized": true,
|
249 |
+
"rstrip": false,
|
250 |
+
"single_word": false,
|
251 |
+
"special": false
|
252 |
+
},
|
253 |
+
"32028": {
|
254 |
+
"content": "<extra_token_26>",
|
255 |
+
"lstrip": false,
|
256 |
+
"normalized": true,
|
257 |
+
"rstrip": false,
|
258 |
+
"single_word": false,
|
259 |
+
"special": false
|
260 |
+
},
|
261 |
+
"32029": {
|
262 |
+
"content": "<extra_token_27>",
|
263 |
+
"lstrip": false,
|
264 |
+
"normalized": true,
|
265 |
+
"rstrip": false,
|
266 |
+
"single_word": false,
|
267 |
+
"special": false
|
268 |
+
},
|
269 |
+
"32030": {
|
270 |
+
"content": "<extra_token_28>",
|
271 |
+
"lstrip": false,
|
272 |
+
"normalized": true,
|
273 |
+
"rstrip": false,
|
274 |
+
"single_word": false,
|
275 |
+
"special": false
|
276 |
+
},
|
277 |
+
"32031": {
|
278 |
+
"content": "<extra_token_29>",
|
279 |
+
"lstrip": false,
|
280 |
+
"normalized": true,
|
281 |
+
"rstrip": false,
|
282 |
+
"single_word": false,
|
283 |
+
"special": false
|
284 |
+
}
|
285 |
+
},
|
286 |
+
"additional_special_tokens": [],
|
287 |
+
"bos_token": "<s>",
|
288 |
+
"chat_template": "{%\n if not add_generation_prompt is defined\n %}{%\n set add_generation_prompt = false\n %}{% \n endif\n%}{% \n for message in messages\n %}<|im_start|>{%\n if message.role == 'system'\n %}{{message.name or 'situation'}}{%\n else\n %}{%\n if message.role == \"user\"\n %}person{%\n elif message.role == \"assistant\"\n %}me{%\n else\n %}{{message.role}}{%\n endif\n %}{%\n if message.name\n %} ({{message.name}}){%\n endif\n %}{%\n endif\n %}{{'\n' + message.content}}{%\n if not loop.last\n %}<|im_end|>\n{%\n elif add_generation_prompt\n and not message.continue\n %}<|im_end|>\n<|im_start|>me\n{%\n endif\n %}{%\n endfor\n%}",
|
289 |
+
"clean_up_tokenization_spaces": false,
|
290 |
+
"eos_token": "<|im_end|>",
|
291 |
+
"legacy": true,
|
292 |
+
"model_max_length": 1000000000000000019884624838656,
|
293 |
+
"pad_token": "</s>",
|
294 |
+
"sp_model_kwargs": {},
|
295 |
+
"spaces_between_special_tokens": false,
|
296 |
+
"tokenizer_class": "LlamaTokenizer",
|
297 |
+
"trust_remote_code": false,
|
298 |
+
"unk_token": "<unk>",
|
299 |
+
"use_default_system_prompt": true,
|
300 |
+
"use_fast": true
|
301 |
+
}
|