Isaak Carter Augustus
commited on
Commit
•
40803a8
1
Parent(s):
7125670
Upload tokenizer
Browse files- README.md +201 -0
- added_tokens.json +25 -0
- special_tokens_map.json +116 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +240 -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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added_tokens.json
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{
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"<|assistant|>": 32006,
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"<|context|>": 32014,
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"<|current_states|>": 32013,
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"<|endoftext|>": 32001,
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"<|function_call|>": 32007,
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"<|function_response|>": 32008,
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"<|functions|>": 32002,
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"<|gökdeniz|>": 32003,
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"<|home_state|>": 32012,
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"<|image|>": 32009,
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"<|josie|>": 32005,
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"<|long_term_memory|>": 32010,
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"<|short_term_memory|>": 32011,
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"<|startoftext|>": 32000,
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"<|user|>": 32004,
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"Gökdeniz": 32016,
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"Gökdeniz Gülmez": 32015,
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"Gülmez": 32017,
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"J.O.S.I.E.": 32019,
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"JOSIE": 32018,
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"Josie": 32020,
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"Just an Outstandingly Smart and Intelligent Entity": 32022,
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"josie": 32021
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}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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{
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"content": "<|functions|>",
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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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"content": "<|gökdeniz|>",
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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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"content": "<|user|>",
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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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"content": "<|josie|>",
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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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"content": "<|assistant|>",
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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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"content": "<|function_call|>",
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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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"content": "<|function_response|>",
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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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"content": "<|image|>",
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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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"content": "<|long_term_memory|>",
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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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"content": "<|short_term_memory|>",
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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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"content": "<|home_state|>",
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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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"content": "<|current_states|>",
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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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"content": "<|context|>",
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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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"bos_token": {
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"content": "<|startoftext|>",
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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": {
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"content": "<|endoftext|>",
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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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The diff for this file is too large to render.
See raw diff
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tokenizer.model
ADDED
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1 |
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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3 |
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size 493443
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tokenizer_config.json
ADDED
@@ -0,0 +1,240 @@
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1 |
+
{
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2 |
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"add_bos_token": true,
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3 |
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"add_eos_token": false,
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4 |
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"added_tokens_decoder": {
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5 |
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"0": {
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6 |
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"content": "<unk>",
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7 |
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"lstrip": false,
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8 |
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"normalized": false,
|
9 |
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"rstrip": false,
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10 |
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"single_word": false,
|
11 |
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"special": true
|
12 |
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},
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13 |
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"1": {
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14 |
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"content": "<s>",
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15 |
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"lstrip": false,
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16 |
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"normalized": false,
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17 |
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"rstrip": false,
|
18 |
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"single_word": false,
|
19 |
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"special": true
|
20 |
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},
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"2": {
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22 |
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"content": "</s>",
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23 |
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"lstrip": false,
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24 |
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"normalized": false,
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25 |
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"rstrip": false,
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26 |
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"single_word": false,
|
27 |
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"special": true
|
28 |
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},
|
29 |
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"32000": {
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30 |
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"content": "<|startoftext|>",
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31 |
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"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
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"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
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},
|
37 |
+
"32001": {
|
38 |
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"content": "<|endoftext|>",
|
39 |
+
"lstrip": false,
|
40 |
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"normalized": false,
|
41 |
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"rstrip": false,
|
42 |
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"single_word": false,
|
43 |
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"special": true
|
44 |
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},
|
45 |
+
"32002": {
|
46 |
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"content": "<|functions|>",
|
47 |
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"lstrip": false,
|
48 |
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"normalized": false,
|
49 |
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"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
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},
|
53 |
+
"32003": {
|
54 |
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"content": "<|gökdeniz|>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"32004": {
|
62 |
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"content": "<|user|>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"32005": {
|
70 |
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"content": "<|josie|>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": false,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"32006": {
|
78 |
+
"content": "<|assistant|>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": false,
|
81 |
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"rstrip": false,
|
82 |
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"single_word": false,
|
83 |
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"special": true
|
84 |
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},
|
85 |
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"32007": {
|
86 |
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"content": "<|function_call|>",
|
87 |
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"lstrip": false,
|
88 |
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"normalized": false,
|
89 |
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"rstrip": false,
|
90 |
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"single_word": false,
|
91 |
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"special": true
|
92 |
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},
|
93 |
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"32008": {
|
94 |
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"content": "<|function_response|>",
|
95 |
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"lstrip": false,
|
96 |
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"normalized": false,
|
97 |
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"rstrip": false,
|
98 |
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"single_word": false,
|
99 |
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"special": true
|
100 |
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},
|
101 |
+
"32009": {
|
102 |
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"content": "<|image|>",
|
103 |
+
"lstrip": false,
|
104 |
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"normalized": false,
|
105 |
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"rstrip": false,
|
106 |
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"single_word": false,
|
107 |
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"special": true
|
108 |
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},
|
109 |
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"32010": {
|
110 |
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"content": "<|long_term_memory|>",
|
111 |
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"lstrip": false,
|
112 |
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"normalized": false,
|
113 |
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"rstrip": false,
|
114 |
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"single_word": false,
|
115 |
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"special": true
|
116 |
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},
|
117 |
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"32011": {
|
118 |
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"content": "<|short_term_memory|>",
|
119 |
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"lstrip": false,
|
120 |
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"normalized": false,
|
121 |
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"rstrip": false,
|
122 |
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"single_word": false,
|
123 |
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"special": true
|
124 |
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},
|
125 |
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"32012": {
|
126 |
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"content": "<|home_state|>",
|
127 |
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"lstrip": false,
|
128 |
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"normalized": false,
|
129 |
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"rstrip": false,
|
130 |
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"single_word": false,
|
131 |
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"special": true
|
132 |
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},
|
133 |
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"32013": {
|
134 |
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"content": "<|current_states|>",
|
135 |
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"lstrip": false,
|
136 |
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"normalized": false,
|
137 |
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"rstrip": false,
|
138 |
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"single_word": false,
|
139 |
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"special": true
|
140 |
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},
|
141 |
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"32014": {
|
142 |
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"content": "<|context|>",
|
143 |
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"lstrip": false,
|
144 |
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"normalized": false,
|
145 |
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"rstrip": false,
|
146 |
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"single_word": false,
|
147 |
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"special": true
|
148 |
+
},
|
149 |
+
"32015": {
|
150 |
+
"content": "Gökdeniz Gülmez",
|
151 |
+
"lstrip": false,
|
152 |
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"normalized": true,
|
153 |
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"rstrip": false,
|
154 |
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"single_word": false,
|
155 |
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"special": false
|
156 |
+
},
|
157 |
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"32016": {
|
158 |
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"content": "Gökdeniz",
|
159 |
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"lstrip": false,
|
160 |
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"normalized": true,
|
161 |
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"rstrip": false,
|
162 |
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"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"32017": {
|
166 |
+
"content": "Gülmez",
|
167 |
+
"lstrip": false,
|
168 |
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"normalized": true,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"32018": {
|
174 |
+
"content": "JOSIE",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": true,
|
177 |
+
"rstrip": false,
|
178 |
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"single_word": false,
|
179 |
+
"special": false
|
180 |
+
},
|
181 |
+
"32019": {
|
182 |
+
"content": "J.O.S.I.E.",
|
183 |
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"lstrip": false,
|
184 |
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"normalized": true,
|
185 |
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"rstrip": false,
|
186 |
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"single_word": false,
|
187 |
+
"special": false
|
188 |
+
},
|
189 |
+
"32020": {
|
190 |
+
"content": "Josie",
|
191 |
+
"lstrip": false,
|
192 |
+
"normalized": true,
|
193 |
+
"rstrip": false,
|
194 |
+
"single_word": false,
|
195 |
+
"special": false
|
196 |
+
},
|
197 |
+
"32021": {
|
198 |
+
"content": "josie",
|
199 |
+
"lstrip": false,
|
200 |
+
"normalized": true,
|
201 |
+
"rstrip": false,
|
202 |
+
"single_word": false,
|
203 |
+
"special": false
|
204 |
+
},
|
205 |
+
"32022": {
|
206 |
+
"content": "Just an Outstandingly Smart and Intelligent Entity",
|
207 |
+
"lstrip": false,
|
208 |
+
"normalized": true,
|
209 |
+
"rstrip": false,
|
210 |
+
"single_word": false,
|
211 |
+
"special": false
|
212 |
+
}
|
213 |
+
},
|
214 |
+
"additional_special_tokens": [
|
215 |
+
"<|functions|>",
|
216 |
+
"<|gökdeniz|>",
|
217 |
+
"<|user|>",
|
218 |
+
"<|josie|>",
|
219 |
+
"<|assistant|>",
|
220 |
+
"<|function_call|>",
|
221 |
+
"<|function_response|>",
|
222 |
+
"<|image|>",
|
223 |
+
"<|long_term_memory|>",
|
224 |
+
"<|short_term_memory|>",
|
225 |
+
"<|home_state|>",
|
226 |
+
"<|current_states|>",
|
227 |
+
"<|context|>"
|
228 |
+
],
|
229 |
+
"bos_token": "<|startoftext|>",
|
230 |
+
"clean_up_tokenization_spaces": false,
|
231 |
+
"eos_token": "<|endoftext|>",
|
232 |
+
"legacy": true,
|
233 |
+
"model_max_length": 1000000000000000019884624838656,
|
234 |
+
"pad_token": null,
|
235 |
+
"sp_model_kwargs": {},
|
236 |
+
"spaces_between_special_tokens": false,
|
237 |
+
"tokenizer_class": "LlamaTokenizer",
|
238 |
+
"unk_token": "<unk>",
|
239 |
+
"use_default_system_prompt": false
|
240 |
+
}
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