Upload tokenizer
Browse files- .gitattributes +1 -0
- README.md +199 -0
- added_tokens.json +33 -0
- chat_template.jinja +6 -0
- merges.txt +0 -0
- special_tokens_map.json +94 -0
- tokenizer.json +3 -0
- tokenizer_config.json +289 -0
- vocab.json +0 -0
    	
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            tokenizer.json filter=lfs diff=lfs merge=lfs -text
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        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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              "</box>": 151673,
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              "</img>": 151666,
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              "</quad>": 151669,
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              "</ref>": 151671,
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              "</tool_call>": 151658,
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              "<IMG_CONTEXT>": 151667,
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              "<box>": 151672,
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              "<img>": 151665,
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              "<quad>": 151668,
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              "<ref>": 151670,
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              "<tool_call>": 151657,
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              "<|box_end|>": 151649,
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              "<|box_start|>": 151648,
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              "<|endoftext|>": 151643,
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              "<|file_sep|>": 151664,
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              "<|fim_middle|>": 151660,
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              "<|fim_pad|>": 151662,
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              "<|fim_prefix|>": 151659,
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              "<|fim_suffix|>": 151661,
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              "<|im_end|>": 151645,
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              "<|im_start|>": 151644,
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              "<|image_pad|>": 151655,
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              "<|object_ref_end|>": 151647,
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              "<|object_ref_start|>": 151646,
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              "<|quad_end|>": 151651,
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              "<|quad_start|>": 151650,
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              "<|repo_name|>": 151663,
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              "<|video_pad|>": 151656,
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              "<|vision_end|>": 151653,
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              "<|vision_pad|>": 151654,
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              "<|vision_start|>": 151652
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            }
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        chat_template.jinja
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            {% for message in messages %}{{'<|im_start|>' + message['role'] + '
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            '}}{% if message['content'] is string %}{{ message['content'] }}{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' %}{{ '<image>
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            ' }}{% elif content['type'] == 'video' %}{{ '<video>
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            ' }}{% elif content['type'] == 'text' %}{{ content['text'] }}{% endif %}{% endfor %}{% endif %}{{'<|im_end|>
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            '}}{% endfor %}{% if add_generation_prompt %}{{'<|im_start|>assistant
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            ' }}{% endif %}
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        merges.txt
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        special_tokens_map.json
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            {
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              "additional_special_tokens": [
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                "<|im_start|>",
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                "<|im_end|>",
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                "<|object_ref_start|>",
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                "<|object_ref_end|>",
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                "<|box_start|>",
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                "<|box_end|>",
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                "<|quad_start|>",
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                "<|quad_end|>",
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                "<|vision_start|>",
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                "<|vision_end|>",
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                "<|vision_pad|>",
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                "<|image_pad|>",
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                "<|video_pad|>",
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                {
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                  "content": "<img>",
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                  "lstrip": false,
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                  "normalized": false,
         | 
| 20 | 
            +
                  "rstrip": false,
         | 
| 21 | 
            +
                  "single_word": false
         | 
| 22 | 
            +
                },
         | 
| 23 | 
            +
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         | 
| 24 | 
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         | 
| 25 | 
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                  "lstrip": false,
         | 
| 26 | 
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                  "normalized": false,
         | 
| 27 | 
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                  "rstrip": false,
         | 
| 28 | 
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                  "single_word": false
         | 
| 29 | 
            +
                },
         | 
| 30 | 
            +
                {
         | 
| 31 | 
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                  "content": "<IMG_CONTEXT>",
         | 
| 32 | 
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                  "lstrip": false,
         | 
| 33 | 
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                  "normalized": false,
         | 
| 34 | 
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| 35 | 
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| 36 | 
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| 37 | 
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| 38 | 
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| 39 | 
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| 40 | 
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| 41 | 
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| 42 | 
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         | 
| 43 | 
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| 44 | 
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                {
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| 45 | 
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                  "content": "</quad>",
         | 
| 46 | 
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                  "lstrip": false,
         | 
| 47 | 
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                  "normalized": false,
         | 
| 48 | 
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                  "rstrip": false,
         | 
| 49 | 
            +
                  "single_word": false
         | 
| 50 | 
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         | 
| 51 | 
            +
                {
         | 
| 52 | 
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| 53 | 
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         | 
| 54 | 
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         | 
| 55 | 
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         | 
| 56 | 
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         | 
| 57 | 
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         | 
| 58 | 
            +
                {
         | 
| 59 | 
            +
                  "content": "</ref>",
         | 
| 60 | 
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                  "lstrip": false,
         | 
| 61 | 
            +
                  "normalized": false,
         | 
| 62 | 
            +
                  "rstrip": false,
         | 
| 63 | 
            +
                  "single_word": false
         | 
| 64 | 
            +
                },
         | 
| 65 | 
            +
                {
         | 
| 66 | 
            +
                  "content": "<box>",
         | 
| 67 | 
            +
                  "lstrip": false,
         | 
| 68 | 
            +
                  "normalized": false,
         | 
| 69 | 
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                  "rstrip": false,
         | 
| 70 | 
            +
                  "single_word": false
         | 
| 71 | 
            +
                },
         | 
| 72 | 
            +
                {
         | 
| 73 | 
            +
                  "content": "</box>",
         | 
| 74 | 
            +
                  "lstrip": false,
         | 
| 75 | 
            +
                  "normalized": false,
         | 
| 76 | 
            +
                  "rstrip": false,
         | 
| 77 | 
            +
                  "single_word": false
         | 
| 78 | 
            +
                }
         | 
| 79 | 
            +
              ],
         | 
| 80 | 
            +
              "eos_token": {
         | 
| 81 | 
            +
                "content": "<|im_end|>",
         | 
| 82 | 
            +
                "lstrip": false,
         | 
| 83 | 
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                "normalized": false,
         | 
| 84 | 
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                "rstrip": false,
         | 
| 85 | 
            +
                "single_word": false
         | 
| 86 | 
            +
              },
         | 
| 87 | 
            +
              "pad_token": {
         | 
| 88 | 
            +
                "content": "<|endoftext|>",
         | 
| 89 | 
            +
                "lstrip": false,
         | 
| 90 | 
            +
                "normalized": false,
         | 
| 91 | 
            +
                "rstrip": false,
         | 
| 92 | 
            +
                "single_word": false
         | 
| 93 | 
            +
              }
         | 
| 94 | 
            +
            }
         | 
    	
        tokenizer.json
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:6f9ba4b4a6625b5047a1356f6081b641c3e4e6a4a198facbd4bef217747d1685
         | 
| 3 | 
            +
            size 11423548
         | 
    	
        tokenizer_config.json
    ADDED
    
    | @@ -0,0 +1,289 @@ | |
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|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "add_bos_token": false,
         | 
| 3 | 
            +
              "add_prefix_space": false,
         | 
| 4 | 
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              "added_tokens_decoder": {
         | 
| 5 | 
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                "151643": {
         | 
| 6 | 
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                  "content": "<|endoftext|>",
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| 7 | 
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         | 
| 8 | 
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         | 
| 9 | 
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         | 
| 10 | 
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         | 
| 11 | 
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         | 
| 12 | 
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| 13 | 
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         | 
| 14 | 
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| 15 | 
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         | 
| 16 | 
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                  "normalized": false,
         | 
| 17 | 
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                  "rstrip": false,
         | 
| 18 | 
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         | 
| 19 | 
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         | 
| 20 | 
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| 21 | 
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| 22 | 
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| 23 | 
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| 24 | 
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                  "normalized": false,
         | 
| 25 | 
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                  "rstrip": false,
         | 
| 26 | 
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         | 
| 27 | 
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                  "special": true
         | 
| 28 | 
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                },
         | 
| 29 | 
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                "151646": {
         | 
| 30 | 
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         | 
| 31 | 
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         | 
| 32 | 
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                  "normalized": false,
         | 
| 33 | 
            +
                  "rstrip": false,
         | 
| 34 | 
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                  "single_word": false,
         | 
| 35 | 
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                  "special": true
         | 
| 36 | 
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                },
         | 
| 37 | 
            +
                "151647": {
         | 
| 38 | 
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                  "content": "<|object_ref_end|>",
         | 
| 39 | 
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                  "lstrip": false,
         | 
| 40 | 
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                  "normalized": false,
         | 
| 41 | 
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         | 
| 42 | 
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         | 
| 43 | 
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                  "special": true
         | 
| 44 | 
            +
                },
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| 45 | 
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                "151648": {
         | 
| 46 | 
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| 47 | 
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         | 
| 48 | 
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                  "normalized": false,
         | 
| 49 | 
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                  "rstrip": false,
         | 
| 50 | 
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                  "single_word": false,
         | 
| 51 | 
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                  "special": true
         | 
| 52 | 
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         | 
| 53 | 
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                "151649": {
         | 
| 54 | 
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         | 
| 55 | 
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         | 
| 56 | 
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                  "normalized": false,
         | 
| 57 | 
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                  "rstrip": false,
         | 
| 58 | 
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         | 
| 59 | 
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         | 
| 60 | 
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| 61 | 
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| 62 | 
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| 63 | 
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| 64 | 
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| 65 | 
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         | 
| 66 | 
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         | 
| 67 | 
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         | 
| 68 | 
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| 69 | 
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| 70 | 
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| 71 | 
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| 72 | 
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| 73 | 
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         | 
| 74 | 
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| 75 | 
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| 76 | 
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| 77 | 
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         | 
| 78 | 
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         | 
| 79 | 
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| 80 | 
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         | 
| 81 | 
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                  "rstrip": false,
         | 
| 82 | 
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         | 
| 83 | 
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                  "special": true
         | 
| 84 | 
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                },
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| 85 | 
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                "151653": {
         | 
| 86 | 
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                  "content": "<|vision_end|>",
         | 
| 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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         | 
| 91 | 
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                  "special": true
         | 
| 92 | 
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                },
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| 93 | 
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                "151654": {
         | 
| 94 | 
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                  "content": "<|vision_pad|>",
         | 
| 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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                },
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| 101 | 
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                "151655": {
         | 
| 102 | 
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                  "content": "<|image_pad|>",
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| 103 | 
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                  "lstrip": false,
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| 104 | 
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                  "normalized": false,
         | 
| 105 | 
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         | 
| 106 | 
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         | 
| 107 | 
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                  "special": true
         | 
| 108 | 
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                },
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| 109 | 
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                "151656": {
         | 
| 110 | 
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| 111 | 
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| 112 | 
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                  "normalized": false,
         | 
| 113 | 
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         | 
| 114 | 
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         | 
| 115 | 
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                  "special": true
         | 
| 116 | 
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                },
         | 
| 117 | 
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                "151657": {
         | 
| 118 | 
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         | 
| 119 | 
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         | 
| 120 | 
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         | 
| 121 | 
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         | 
| 122 | 
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         | 
| 123 | 
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         | 
| 124 | 
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         | 
| 125 | 
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                "151658": {
         | 
| 126 | 
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                  "content": "</tool_call>",
         | 
| 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": false
         | 
| 132 | 
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                },
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| 133 | 
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                "151659": {
         | 
| 134 | 
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                  "content": "<|fim_prefix|>",
         | 
| 135 | 
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                  "lstrip": false,
         | 
| 136 | 
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                  "normalized": false,
         | 
| 137 | 
            +
                  "rstrip": false,
         | 
| 138 | 
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         | 
| 139 | 
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                  "special": false
         | 
| 140 | 
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| 141 | 
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         | 
| 142 | 
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         | 
| 143 | 
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         | 
| 144 | 
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         | 
| 145 | 
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         | 
| 146 | 
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         | 
| 147 | 
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         | 
| 148 | 
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                },
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| 149 | 
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         | 
| 150 | 
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                  "content": "<|fim_suffix|>",
         | 
| 151 | 
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         | 
| 152 | 
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                  "normalized": false,
         | 
| 153 | 
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         | 
| 154 | 
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         | 
| 155 | 
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         | 
| 156 | 
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| 157 | 
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         | 
| 158 | 
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| 159 | 
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| 160 | 
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         | 
| 161 | 
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         | 
| 162 | 
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         | 
| 163 | 
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         | 
| 164 | 
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| 165 | 
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| 166 | 
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| 167 | 
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| 168 | 
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         | 
| 169 | 
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| 170 | 
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| 171 | 
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| 172 | 
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| 173 | 
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| 174 | 
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| 175 | 
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| 176 | 
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| 177 | 
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| 178 | 
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| 179 | 
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         | 
| 180 | 
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         | 
| 181 | 
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         | 
| 182 | 
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                  "content": "<img>",
         | 
| 183 | 
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         | 
| 184 | 
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         | 
| 185 | 
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                  "rstrip": false,
         | 
| 186 | 
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                  "single_word": false,
         | 
| 187 | 
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         | 
| 188 | 
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                },
         | 
| 189 | 
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                "151666": {
         | 
| 190 | 
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                  "content": "</img>",
         | 
| 191 | 
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                  "lstrip": false,
         | 
| 192 | 
            +
                  "normalized": false,
         | 
| 193 | 
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                  "rstrip": false,
         | 
| 194 | 
            +
                  "single_word": false,
         | 
| 195 | 
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         | 
| 196 | 
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         | 
| 197 | 
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         | 
| 198 | 
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                  "content": "<IMG_CONTEXT>",
         | 
| 199 | 
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                  "lstrip": false,
         | 
| 200 | 
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                  "normalized": false,
         | 
| 201 | 
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                  "rstrip": false,
         | 
| 202 | 
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                  "single_word": false,
         | 
| 203 | 
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                  "special": true
         | 
| 204 | 
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| 205 | 
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                "151668": {
         | 
| 206 | 
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                  "content": "<quad>",
         | 
| 207 | 
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| 208 | 
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         | 
| 209 | 
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| 210 | 
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         | 
| 211 | 
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         | 
| 212 | 
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         | 
| 213 | 
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         | 
| 214 | 
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| 215 | 
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| 216 | 
            +
                  "normalized": false,
         | 
| 217 | 
            +
                  "rstrip": false,
         | 
| 218 | 
            +
                  "single_word": false,
         | 
| 219 | 
            +
                  "special": true
         | 
| 220 | 
            +
                },
         | 
| 221 | 
            +
                "151670": {
         | 
| 222 | 
            +
                  "content": "<ref>",
         | 
| 223 | 
            +
                  "lstrip": false,
         | 
| 224 | 
            +
                  "normalized": false,
         | 
| 225 | 
            +
                  "rstrip": false,
         | 
| 226 | 
            +
                  "single_word": false,
         | 
| 227 | 
            +
                  "special": true
         | 
| 228 | 
            +
                },
         | 
| 229 | 
            +
                "151671": {
         | 
| 230 | 
            +
                  "content": "</ref>",
         | 
| 231 | 
            +
                  "lstrip": false,
         | 
| 232 | 
            +
                  "normalized": false,
         | 
| 233 | 
            +
                  "rstrip": false,
         | 
| 234 | 
            +
                  "single_word": false,
         | 
| 235 | 
            +
                  "special": true
         | 
| 236 | 
            +
                },
         | 
| 237 | 
            +
                "151672": {
         | 
| 238 | 
            +
                  "content": "<box>",
         | 
| 239 | 
            +
                  "lstrip": false,
         | 
| 240 | 
            +
                  "normalized": false,
         | 
| 241 | 
            +
                  "rstrip": false,
         | 
| 242 | 
            +
                  "single_word": false,
         | 
| 243 | 
            +
                  "special": true
         | 
| 244 | 
            +
                },
         | 
| 245 | 
            +
                "151673": {
         | 
| 246 | 
            +
                  "content": "</box>",
         | 
| 247 | 
            +
                  "lstrip": false,
         | 
| 248 | 
            +
                  "normalized": false,
         | 
| 249 | 
            +
                  "rstrip": false,
         | 
| 250 | 
            +
                  "single_word": false,
         | 
| 251 | 
            +
                  "special": true
         | 
| 252 | 
            +
                }
         | 
| 253 | 
            +
              },
         | 
| 254 | 
            +
              "additional_special_tokens": [
         | 
| 255 | 
            +
                "<|im_start|>",
         | 
| 256 | 
            +
                "<|im_end|>",
         | 
| 257 | 
            +
                "<|object_ref_start|>",
         | 
| 258 | 
            +
                "<|object_ref_end|>",
         | 
| 259 | 
            +
                "<|box_start|>",
         | 
| 260 | 
            +
                "<|box_end|>",
         | 
| 261 | 
            +
                "<|quad_start|>",
         | 
| 262 | 
            +
                "<|quad_end|>",
         | 
| 263 | 
            +
                "<|vision_start|>",
         | 
| 264 | 
            +
                "<|vision_end|>",
         | 
| 265 | 
            +
                "<|vision_pad|>",
         | 
| 266 | 
            +
                "<|image_pad|>",
         | 
| 267 | 
            +
                "<|video_pad|>",
         | 
| 268 | 
            +
                "<img>",
         | 
| 269 | 
            +
                "</img>",
         | 
| 270 | 
            +
                "<IMG_CONTEXT>",
         | 
| 271 | 
            +
                "<quad>",
         | 
| 272 | 
            +
                "</quad>",
         | 
| 273 | 
            +
                "<ref>",
         | 
| 274 | 
            +
                "</ref>",
         | 
| 275 | 
            +
                "<box>",
         | 
| 276 | 
            +
                "</box>"
         | 
| 277 | 
            +
              ],
         | 
| 278 | 
            +
              "bos_token": null,
         | 
| 279 | 
            +
              "clean_up_tokenization_spaces": false,
         | 
| 280 | 
            +
              "eos_token": "<|im_end|>",
         | 
| 281 | 
            +
              "errors": "replace",
         | 
| 282 | 
            +
              "extra_special_tokens": {},
         | 
| 283 | 
            +
              "model_max_length": 8192,
         | 
| 284 | 
            +
              "pad_token": "<|endoftext|>",
         | 
| 285 | 
            +
              "return_token_type_ids": false,
         | 
| 286 | 
            +
              "split_special_tokens": false,
         | 
| 287 | 
            +
              "tokenizer_class": "Qwen2Tokenizer",
         | 
| 288 | 
            +
              "unk_token": null
         | 
| 289 | 
            +
            }
         | 
    	
        vocab.json
    ADDED
    
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		See raw diff | 
|  | 

