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Initial upload: FunctionGemma 270M LoRA adapter fine-tuned for Delia tool orchestration

Browse files
.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
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: google/functiongemma-270m-it
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+ library_name: peft
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+ pipeline_tag: text-generation
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+ tags:
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+ - base_model:adapter:google/functiongemma-270m-it
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+ - lora
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+ - transformers
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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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+
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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]
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+ ### Framework versions
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+
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+ - PEFT 0.18.0
adapter_config.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "alora_invocation_tokens": null,
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+ "alpha_pattern": {},
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+ "arrow_config": null,
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "google/functiongemma-270m-it",
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+ "bias": "none",
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+ "corda_config": null,
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+ "ensure_weight_tying": false,
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+ "eva_config": null,
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+ "exclude_modules": null,
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layer_replication": null,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 64,
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+ "lora_bias": false,
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+ "lora_dropout": 0.05,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "peft_version": "0.18.0",
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+ "qalora_group_size": 16,
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+ "r": 16,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "up_proj",
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+ "o_proj",
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+ "gate_proj",
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+ "k_proj",
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+ "q_proj",
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+ "down_proj",
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+ "v_proj"
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+ ],
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+ "target_parameters": null,
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+ "task_type": "CAUSAL_LM",
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+ "trainable_token_indices": null,
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+ "use_dora": false,
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+ "use_qalora": false,
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+ "use_rslora": false
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+ }
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+ {%- macro format_parameters(properties, required) -%}
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+ {%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
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+ {%- set ns = namespace(found_first=false) -%}
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+ {%- for key, value in properties | dictsort -%}
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+ {%- if key not in standard_keys -%}
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+ {%- if ns.found_first %},{% endif -%}
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+ {%- set ns.found_first = true -%}
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+ {{- key }}:{description:<escape>{{ value['description'] }}<escape>
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+ {%- if value['type'] | upper == 'STRING' -%}
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+ {%- if value['enum'] -%}
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+ ,enum:{{ format_argument(value['enum']) }}
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+ {%- endif -%}
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+ {%- elif value['type'] | upper == 'OBJECT' -%}
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+ ,properties:{
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+ {%- if value['properties'] is defined and value['properties'] is mapping -%}
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+ {{- format_parameters(value['properties'], value['required'] | default([])) -}}
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+ {%- elif value is mapping -%}
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+ {{- format_parameters(value, value['required'] | default([])) -}}
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+ {%- endif -%}
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+ }
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+ {%- if value['required'] -%}
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+ ,required:[
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+ {%- for item in value['required'] | default([]) -%}
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+ <escape>{{- item -}}<escape>
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+ {%- if not loop.last %},{% endif -%}
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+ {%- endfor -%}
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+ ]
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+ {%- endif -%}
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+ {%- elif value['type'] | upper == 'ARRAY' -%}
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+ {%- if value['items'] is mapping and value['items'] -%}
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+ ,items:{
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+ {%- set ns_items = namespace(found_first=false) -%}
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+ {%- for item_key, item_value in value['items'] | dictsort -%}
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+ {%- if item_value is not none -%}
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+ {%- if ns_items.found_first %},{% endif -%}
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+ {%- set ns_items.found_first = true -%}
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+ {%- if item_key == 'properties' -%}
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+ properties:{
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+ {%- if item_value is mapping -%}
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+ {{- format_parameters(item_value, value['items']['required'] | default([])) -}}
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+ {%- endif -%}
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+ }
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+ {%- elif item_key == 'required' -%}
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+ required:[
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+ {%- for req_item in item_value -%}
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+ <escape>{{- req_item -}}<escape>
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+ {%- if not loop.last %},{% endif -%}
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+ {%- endfor -%}
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+ ]
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+ {%- elif item_key == 'type' -%}
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+ {%- if item_value is string -%}
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+ type:{{ format_argument(item_value | upper) }}
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+ {%- else -%}
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+ type:{{ format_argument(item_value | map('upper') | list) }}
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+ {%- endif -%}
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+ {%- else -%}
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+ {{ item_key }}:{{ format_argument(item_value) }}
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+ {%- endif -%}
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+ {%- endif -%}
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+ {%- endfor -%}
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+ }
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+ {%- endif -%}
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+ {%- endif -%}
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+ ,type:<escape>{{ value['type'] | upper }}<escape>}
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+ {%- endif -%}
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+ {%- endfor -%}
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+ {%- endmacro -%}
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+ {% macro format_function_declaration(tool_data) -%}
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+ declaration:{{- tool_data['function']['name'] -}}
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+ {description:<escape>{{- tool_data['function']['description'] -}}<escape>
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+ {%- set params = tool_data['function']['parameters'] -%}
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+ {%- if params -%}
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+ ,parameters:{
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+ {%- if params['properties'] -%}
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+ properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
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+ {%- endif -%}
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+ {%- if params['required'] -%}
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+ required:[
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+ {%- for item in params['required'] -%}
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+ <escape>{{- item -}}<escape>
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+ {{- ',' if not loop.last -}}
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+ {%- endfor -%}
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+ ],
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+ {%- endif -%}
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+ {%- if params['type'] -%}
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+ type:<escape>{{- params['type'] | upper -}}<escape>}
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+ {%- endif -%}
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+ {%- endif -%}
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+ }
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+ {%- endmacro -%}
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+ {% macro format_argument(argument, escape_keys=True) -%}
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+ {%- if argument is string -%}
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+ {{- '<escape>' + argument + '<escape>' -}}
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+ {%- elif argument is boolean -%}
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+ {%- if argument -%}
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+ {{- 'true' -}}
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+ {%- else -%}
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+ {{- 'false' -}}
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+ {%- endif -%}
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+ {%- elif argument is mapping -%}
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+ {{- '{' -}}
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+ {%- set ns = namespace(found_first=false) -%}
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+ {%- for key, value in argument | dictsort -%}
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+ {%- if ns.found_first %},{% endif -%}
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+ {%- set ns.found_first = true -%}
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+ {%- if escape_keys -%}
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+ {{- '<escape>' + key + '<escape>' -}}
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+ {%- else -%}
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+ {{- key -}}
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+ {%- endif -%}
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+ :{{- format_argument(value, escape_keys=escape_keys) -}}
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+ {%- endfor -%}
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+ {{- '}' -}}
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+ {%- elif argument is sequence -%}
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+ {{- '[' -}}
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+ {%- for item in argument -%}
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+ {{- format_argument(item, escape_keys=escape_keys) -}}
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+ {%- if not loop.last %},{% endif -%}
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+ {%- endfor -%}
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+ {{- ']' -}}
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+ {%- else -%}
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+ {{- argument -}}
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+ {%- endif -%}
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+ {%- endmacro -%}
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+ {{ bos_token }}
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+ {%- set ns = namespace(prev_message_type=None) -%}
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+ {#- Tool Declarations -#}
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+ {%- set loop_messages = messages -%}
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+ {%- if tools or messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
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+ {{- '<start_of_turn>developer\n' -}}
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+ {%- if messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
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+ {%- if messages[0]['content'] is string -%}
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+ {{- messages[0]['content'] | trim -}}
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+ {%- elif messages[0]['content'] is sequence -%}
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+ {%- for item in messages[0]['content'] -%}
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+ {%- if item['type'] == 'text' -%}
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+ {{- item['text'] | trim -}}
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+ {%- endif -%}
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+ {%- endfor -%}
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+ {%- endif -%}
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+ {%- set loop_messages = messages[1:] -%}
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+ {%- endif -%}
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+ {%- if tools -%}
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+ {%- for tool in tools %}
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+ {{- '<start_function_declaration>' -}}
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+ {{- format_function_declaration(tool) | trim }}
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+ {{- '<end_function_declaration>' -}}
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+ {%- endfor %}
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+ {%- endif -%}
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+ {{- '<end_of_turn>\n' }}
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+ {%- endif %}
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+ {#- Loop through messages. -#}
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+ {%- for message in loop_messages -%}
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+ {%- if (message['role'] == 'assistant') -%}
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+ {#- Rename "assistant" to "model". -#}
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+ {%- set role = "model" -%}
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+ {%- else -%}
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+ {%- set role = message['role'] -%}
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+ {%- endif -%}
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+ {%- if role != 'tool' -%}
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+ {%- if ns.prev_message_type != 'tool_response' -%}
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+ {{- '<start_of_turn>' + role + '\n' }}
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+ {%- endif -%}
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+ {%- set ns.prev_message_type = None -%}
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+ {%- if 'content' in message and message['content'] is not none -%}
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+ {%- if message['content'] is string -%}
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+ {{ message['content'] | trim }}
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+ {%- elif message['content'] is sequence -%}
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+ {%- for item in message['content'] -%}
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+ {%- if item['type'] == 'image' -%}
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+ {{ '<start_of_image>' }}
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+ {%- elif item['type'] == 'text' -%}
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+ {{ item['text'] | trim }}
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+ {%- endif -%}
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+ {%- endfor -%}
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+ {%- else -%}
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+ {{ raise_exception("Invalid content type in user/assistant message") }}
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+ {%- endif -%}
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+ {%- set ns.prev_message_type = 'content' -%}
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+ {%- endif -%}
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+ {%- if 'tool_calls' in message and message['tool_calls'] and message['tool_calls'] is iterable -%}
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+ {#- Tool Calls -#}
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+ {%- for tool_call in message['tool_calls'] -%}
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+ {% set function = tool_call['function'] %}
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+ {{- '<start_function_call>call:' + function['name'] + '{' -}}
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+ {%- if 'arguments' in function -%}
187
+ {%- if function['arguments'] is mapping -%}
188
+ {%- set ns = namespace(found_first=false) -%}
189
+ {%- for key, value in function['arguments'] | dictsort -%}
190
+ {%- if ns.found_first %},{% endif -%}
191
+ {%- set ns.found_first = true -%}
192
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
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+ {%- endfor -%}
194
+ {%- elif function['arguments'] is string -%}
195
+ {# This handles string-JSON, just in case #}
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+ {{ function['arguments'] }}
197
+ {%- endif %}
198
+ {%- endif -%}
199
+ {{- '}<end_function_call>' -}}
200
+ {%- endfor -%}
201
+ {%- if loop.last -%}
202
+ {{ '<start_function_response>' }}
203
+ {%- endif -%}
204
+ {%- set ns.prev_message_type = 'tool_call' -%}
205
+ {%- endif -%}
206
+ {%- else -%}
207
+ {#- Tool Responses -#}
208
+ {%- if 'content' in message and message['content'] -%}
209
+ {%- if message['content'] is mapping -%}
210
+ {%- if 'name' in message['content'] and 'response' in message['content'] -%}
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+ {{ '<start_function_response>response:' + message['content']['name'] | trim + '{' }}
212
+ {%- set response_ns = namespace(found_first=false) -%}
213
+ {%- for key, value in message['content']['response'] | dictsort -%}
214
+ {%- if response_ns.found_first %},{% endif -%}
215
+ {%- set response_ns.found_first = true -%}
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+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
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+ {%- endfor -%}
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+ {{- '}<end_function_response>' -}}
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+ {%- elif 'name' in message -%}
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+ {{ '<start_function_response>response:' + message['name'] | trim + '{' }}
221
+ {%- set response_ns = namespace(found_first=false) -%}
222
+ {%- for key, value in message['content'] | dictsort -%}
223
+ {%- if response_ns.found_first %},{% endif -%}
224
+ {%- set response_ns.found_first = true -%}
225
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
226
+ {%- endfor -%}
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+ {{- '}<end_function_response>' -}}
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+ {%- else -%}
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+ {{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
230
+ {%- endif -%}
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+ {%- elif message['content'] is string -%}
232
+ {%- if 'name' in message -%}
233
+ {{ '<start_function_response>response:' + message['name'] | trim + '{value:' + format_argument(message['content'], escape_keys=False) + '}<end_function_response>' }}
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+ {%- else -%}
235
+ {{ raise_exception("Invalid tool response: 'name' must be provided.") }}
236
+ {%- endif -%}
237
+ {%- elif message['content'] is sequence -%}
238
+ {%- for item in message['content'] -%}
239
+ {%- if item is mapping -%}
240
+ {%- if 'name' in item and 'response' in item -%}
241
+ {{ '<start_function_response>response:' + item['name'] | trim + '{' }}
242
+ {%- set response_ns = namespace(found_first=false) -%}
243
+ {%- for key, value in item['response'] | dictsort -%}
244
+ {%- if response_ns.found_first %},{% endif -%}
245
+ {%- set response_ns.found_first = true -%}
246
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
247
+ {%- endfor -%}
248
+ {{- '}<end_function_response>' -}}
249
+ {%- elif 'name' in message -%}
250
+ {{ '<start_function_response>response:' + message['name'] | trim + '{' }}
251
+ {%- set response_ns = namespace(found_first=false) -%}
252
+ {%- for key, value in item | dictsort -%}
253
+ {%- if response_ns.found_first %},{% endif -%}
254
+ {%- set response_ns.found_first = true -%}
255
+ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
256
+ {%- endfor -%}
257
+ {{- '}<end_function_response>' -}}
258
+ {%- else -%}
259
+ {{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
260
+ {%- endif -%}
261
+ {%- else -%}
262
+ {{ raise_exception("Invalid tool response message: multiple responses must all be mappings") }}
263
+ {%- endif -%}
264
+ {%- endfor -%}
265
+ {%- else -%}
266
+ {{ raise_exception("Invalid content type in tool message: must be mapping, sequence of mappings, or string.") }}
267
+ {%- endif -%}
268
+ {%- endif -%}
269
+ {%- set ns.prev_message_type = 'tool_response' -%}
270
+ {%- endif -%}
271
+ {%- if ns.prev_message_type not in ['tool_call', 'tool_response'] -%}
272
+ {{ '<end_of_turn>\n' }}
273
+ {%- endif -%}
274
+ {%- endfor -%}
275
+ {%- if add_generation_prompt -%}
276
+ {%- if ns.prev_message_type != 'tool_response' -%}
277
+ {{- '<start_of_turn>model\n' -}}
278
+ {%- endif -%}
279
+ {%- endif -%}
special_tokens_map.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "boi_token": "<start_of_image>",
3
+ "bos_token": {
4
+ "content": "<bos>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ "eoi_token": "<end_of_image>",
11
+ "eos_token": {
12
+ "content": "<eos>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false
17
+ },
18
+ "image_token": "<image_soft_token>",
19
+ "pad_token": {
20
+ "content": "<pad>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false
25
+ },
26
+ "sfr_token": "<start_function_response>",
27
+ "unk_token": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0bb5b5b3f1ab3c39a817f0648f524d7ec29defeae19c0665b4a223fd4e93c19d
3
+ size 33385163
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa009fcbc3589a9904d30d04834094fea4653c2ac6d2de2cd1262d4f7a50ceb3
3
+ size 4689144
tokenizer_config.json ADDED
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