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Duplicate from RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf

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README.md ADDED
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+ Quantization made by Richard Erkhov.
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+ [Github](https://github.com/RichardErkhov)
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+ [Discord](https://discord.gg/pvy7H8DZMG)
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+
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+ [Request more models](https://github.com/RichardErkhov/quant_request)
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+
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+ TinyStories-LLaMA2-20M-256h-4l-colab - GGUF
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+ - Model creator: https://huggingface.co/alan918727/
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+ - Original model: https://huggingface.co/alan918727/TinyStories-LLaMA2-20M-256h-4l-colab/
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+
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+
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+ | Name | Quant method | Size |
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+ | ---- | ---- | ---- |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q2_K.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q2_K.gguf) | Q2_K | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.IQ3_XS.gguf) | IQ3_XS | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.IQ3_S.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.IQ3_S.gguf) | IQ3_S | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q3_K_S.gguf) | Q3_K_S | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.IQ3_M.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.IQ3_M.gguf) | IQ3_M | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q3_K.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q3_K.gguf) | Q3_K | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q3_K_M.gguf) | Q3_K_M | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q3_K_L.gguf) | Q3_K_L | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.IQ4_XS.gguf) | IQ4_XS | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q4_0.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q4_0.gguf) | Q4_0 | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.IQ4_NL.gguf) | IQ4_NL | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q4_K_S.gguf) | Q4_K_S | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q4_K.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q4_K.gguf) | Q4_K | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q4_K_M.gguf) | Q4_K_M | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q4_1.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q4_1.gguf) | Q4_1 | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q5_0.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q5_0.gguf) | Q5_0 | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q5_K_S.gguf) | Q5_K_S | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q5_K.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q5_K.gguf) | Q5_K | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q5_K_M.gguf) | Q5_K_M | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q5_1.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q5_1.gguf) | Q5_1 | 0.01GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q6_K.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q6_K.gguf) | Q6_K | 0.02GB |
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+ | [TinyStories-LLaMA2-20M-256h-4l-colab.Q8_0.gguf](https://huggingface.co/RichardErkhov/alan918727_-_TinyStories-LLaMA2-20M-256h-4l-colab-gguf/blob/main/TinyStories-LLaMA2-20M-256h-4l-colab.Q8_0.gguf) | Q8_0 | 0.02GB |
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+ Original model description:
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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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+ - **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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+ [More Information Needed]
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+
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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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+
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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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+
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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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+ 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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+ Use the code below to get started with the model.
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+ [More Information Needed]
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+
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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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+
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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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+
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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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+ [More Information Needed]
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+
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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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+
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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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+
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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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+ [More Information Needed]
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+ ### Compute Infrastructure
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+ #### Hardware
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+ #### Software
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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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+ ## 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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+ ## Model Card Authors [optional]
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+ ## Model Card Contact
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+
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