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Upload TextGenerationPipeline

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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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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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+
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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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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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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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+
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+ ## Uses
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+
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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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+
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+ ### Direct Use
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+
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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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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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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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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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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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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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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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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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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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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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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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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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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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+
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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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+
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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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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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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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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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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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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
added_tokens.json ADDED
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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_pad|>": 151662,
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+ "<|im_end|>": 151645,
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+ "<|im_start|>": 151644,
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+ "<|video_pad|>": 151656,
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+ "<|vision_start|>": 151652
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+ }
chat_template.jinja ADDED
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+ {% macro render_item_list(item_list, tag_name='required') %}
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+ {%- if item_list is defined and item_list is iterable and item_list | length > 0 %}
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+ {%- if tag_name %}{{- '\n<' ~ tag_name ~ '>' -}}{% endif %}
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+ {{- '[' }}
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+ {%- for item in item_list -%}
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+ {%- if loop.index > 1 %}{{- ", "}}{% endif -%}
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+ {%- if item is string -%}
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+ {{ "`" ~ item ~ "`" }}
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+ {%- else -%}
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+ {{ item }}
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+ {%- endif -%}
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+ {%- endfor -%}
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+ {{- ']' }}
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+ {%- if tag_name %}{{- '</' ~ tag_name ~ '>' -}}{% endif %}
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+ {%- endif %}
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+ {% endmacro %}
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+
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+ {%- if messages[0]["role"] == "system" %}
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+ {%- set system_message = messages[0]["content"] %}
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+ {%- set loop_messages = messages[1:] %}
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+ {%- else %}
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+ {%- set loop_messages = messages %}
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+ {%- endif %}
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+
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+ {%- if not tools is defined %}
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+ {%- set tools = [] %}
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+ {%- endif %}
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+
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+ {%- if system_message is defined %}
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+ {{- "<|im_start|>system\n" + system_message }}
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+ {%- else %}
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+ {%- if tools is iterable and tools | length > 0 %}
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+ {{- "<|im_start|>system\nYou are Qwen, a helpful AI assistant that can interact with a computer to solve tasks." }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- if tools is iterable and tools | length > 0 %}
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+ {{- "\n\nYou have access to the following functions:\n\n" }}
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+ {{- "<tools>" }}
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+ {%- for tool in tools %}
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+ {%- if tool.function is defined %}
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+ {%- set tool = tool.function %}
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+ {%- endif %}
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+ {{- "\n<function>\n<name>" ~ tool.name ~ "</name>" }}
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+ {{- '\n<description>' ~ (tool.description | trim) ~ '</description>' }}
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+ {{- '\n<parameters>' }}
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+ {%- for param_name, param_fields in tool.parameters.properties|items %}
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+ {{- '\n<parameter>' }}
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+ {{- '\n<name>' ~ param_name ~ '</name>' }}
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+ {%- if param_fields.type is defined %}
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+ {{- '\n<type>' ~ (param_fields.type | string) ~ '</type>' }}
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+ {%- endif %}
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+ {%- if param_fields.description is defined %}
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+ {{- '\n<description>' ~ (param_fields.description | trim) ~ '</description>' }}
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+ {%- endif %}
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+ {{- render_item_list(param_fields.enum, 'enum') }}
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+ {%- set handled_keys = ['type', 'description', 'enum', 'required'] %}
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+ {%- for json_key in param_fields.keys() | reject("in", handled_keys) %}
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+ {%- set normed_json_key = json_key | replace("-", "_") | replace(" ", "_") | replace("$", "") %}
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+ {%- if param_fields[json_key] is mapping %}
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+ {{- '\n<' ~ normed_json_key ~ '>' ~ (param_fields[json_key] | tojson | safe) ~ '</' ~ normed_json_key ~ '>' }}
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+ {%- else %}
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+ {{-'\n<' ~ normed_json_key ~ '>' ~ (param_fields[json_key] | string) ~ '</' ~ normed_json_key ~ '>' }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {{- render_item_list(param_fields.required, 'required') }}
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+ {{- '\n</parameter>' }}
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+ {%- endfor %}
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+ {{- render_item_list(tool.parameters.required, 'required') }}
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+ {{- '\n</parameters>' }}
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+ {%- if tool.return is defined %}
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+ {%- if tool.return is mapping %}
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+ {{- '\n<return>' ~ (tool.return | tojson | safe) ~ '</return>' }}
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+ {%- else %}
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+ {{- '\n<return>' ~ (tool.return | string) ~ '</return>' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {{- '\n</function>' }}
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+ {%- endfor %}
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+ {{- "\n</tools>" }}
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+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
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+ {%- endif %}
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+ {%- if system_message is defined %}
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+ {{- '<|im_end|>\n' }}
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+ {%- else %}
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+ {%- if tools is iterable and tools | length > 0 %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- for message in loop_messages %}
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+ {%- if message.role == "assistant" and message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}
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+ {{- '<|im_start|>' + message.role }}
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+ {%- if message.content is defined and message.content is string and message.content | trim | length > 0 %}
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+ {{- '\n' + message.content | trim + '\n' }}
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+ {%- endif %}
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+ {%- for tool_call in message.tool_calls %}
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+ {%- if tool_call.function is defined %}
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+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
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+ {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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+ {%- if tool_call.arguments is defined %}
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+ {%- for args_name, args_value in tool_call.arguments|items %}
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+ {{- '<parameter=' + args_name + '>\n' }}
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+ {%- set args_value = args_value if args_value is string else args_value | string %}
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+ {{- args_value }}
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+ {{- '\n</parameter>\n' }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '</function>\n</tool_call>' }}
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+ {%- endfor %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "user" or message.role == "system" or message.role == "assistant" %}
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+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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+ {%- elif message.role == "tool" %}
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+ {%- if loop.previtem and loop.previtem.role != "tool" %}
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+ {{- '<|im_start|>user\n' }}
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+ {%- endif %}
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+ {{- '<tool_response>\n' }}
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+ {{- message.content }}
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+ {{- '\n</tool_response>\n' }}
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+ {%- if not loop.last and loop.nextitem.role != "tool" %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif loop.last %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- else %}
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+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
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+ {{- '<|im_start|>assistant\n' }}
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+ {%- endif %}
config.json ADDED
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+ {
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+ "architectures": [
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+ "Qwen3MoeForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "decoder_sparse_step": 1,
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+ "eos_token_id": 151645,
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+ "head_dim": 128,
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+ "hidden_act": "silu",
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+ "hidden_size": 2048,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 5472,
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+ "max_position_embeddings": 262144,
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+ "max_window_layers": 28,
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+ "mlp_only_layers": [],
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+ "model_type": "qwen3_moe",
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+ "moe_intermediate_size": 768,
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+ "norm_topk_prob": true,
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+ "num_attention_heads": 32,
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+ "num_experts": 128,
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+ "num_experts_per_tok": 8,
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+ "num_hidden_layers": 48,
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+ "num_key_value_heads": 4,
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+ "output_router_logits": false,
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+ "qkv_bias": false,
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+ "quantization_config": {
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+ "config_groups": {
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+ "group_0": {
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+ "input_activations": {
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+ "actorder": null,
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+ "block_structure": null,
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+ "dynamic": true,
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+ "group_size": null,
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+ "num_bits": 8,
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+ "observer": null,
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+ "observer_kwargs": {},
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+ "strategy": "token",
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+ "symmetric": true,
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+ "type": "float"
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+ },
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+ "output_activations": null,
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+ "targets": [
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+ "Linear"
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+ ],
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+ "weights": {
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+ "actorder": null,
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+ "block_structure": null,
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+ "dynamic": false,
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+ "group_size": null,
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+ "num_bits": 8,
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+ "observer": "minmax",
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+ "observer_kwargs": {},
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+ "strategy": "channel",
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+ "symmetric": true,
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+ "type": "float"
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+ }
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+ }
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+ },
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+ "format": "float-quantized",
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+ "global_compression_ratio": null,
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+ "ignore": [
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+ "model.layers.0.mlp.gate",
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+ "model.layers.1.mlp.gate",
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+ "model.layers.2.mlp.gate",
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+ "model.layers.3.mlp.gate",
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+ "model.layers.4.mlp.gate",
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+ "model.layers.5.mlp.gate",
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+ "model.layers.6.mlp.gate",
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+ "model.layers.7.mlp.gate",
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+ "model.layers.8.mlp.gate",
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+ "model.layers.9.mlp.gate",
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+ "model.layers.10.mlp.gate",
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+ "model.layers.11.mlp.gate",
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+ "model.layers.12.mlp.gate",
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+ "model.layers.13.mlp.gate",
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+ "model.layers.14.mlp.gate",
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+ "model.layers.15.mlp.gate",
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+ "model.layers.16.mlp.gate",
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+ "model.layers.17.mlp.gate",
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+ "model.layers.18.mlp.gate",
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+ "model.layers.19.mlp.gate",
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+ "model.layers.20.mlp.gate",
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+ "model.layers.21.mlp.gate",
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+ "model.layers.22.mlp.gate",
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+ "model.layers.23.mlp.gate",
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+ "model.layers.24.mlp.gate",
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+ "model.layers.25.mlp.gate",
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+ "model.layers.26.mlp.gate",
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+ "model.layers.27.mlp.gate",
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+ "model.layers.28.mlp.gate",
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+ "model.layers.29.mlp.gate",
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+ "model.layers.30.mlp.gate",
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+ "model.layers.31.mlp.gate",
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+ "model.layers.32.mlp.gate",
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+ "model.layers.33.mlp.gate",
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+ "model.layers.34.mlp.gate",
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+ "model.layers.35.mlp.gate",
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+ "model.layers.36.mlp.gate",
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+ "model.layers.37.mlp.gate",
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+ "model.layers.38.mlp.gate",
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+ "model.layers.39.mlp.gate",
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+ "model.layers.40.mlp.gate",
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+ "model.layers.41.mlp.gate",
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+ "model.layers.42.mlp.gate",
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+ "model.layers.43.mlp.gate",
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+ "model.layers.44.mlp.gate",
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+ "model.layers.45.mlp.gate",
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+ "model.layers.46.mlp.gate",
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+ "model.layers.47.mlp.gate",
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+ "lm_head"
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+ ],
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+ "kv_cache_scheme": null,
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+ "quant_method": "compressed-tensors",
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+ "quantization_status": "compressed",
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+ "sparsity_config": {}
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+ },
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 10000000,
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+ "router_aux_loss_coef": 0.0,
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+ "shared_expert_intermediate_size": 0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.52.4",
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+ "use_cache": true,
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+ "use_qk_norm": true,
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+ "use_sliding_window": false,
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+ "vocab_size": 151936
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+ }
generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
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