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--- |
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base_model: parsak/phi-2-code-instruct |
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datasets: |
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- sahil2801/CodeAlpaca-20k |
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inference: false |
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language: |
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- en |
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license: mit |
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model_creator: parsak |
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model_name: phi-2-code-instruct |
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pipeline_tag: text-generation |
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quantized_by: afrideva |
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tags: |
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- code |
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- gguf |
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- ggml |
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- quantized |
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- q2_k |
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- q3_k_m |
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- q4_k_m |
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- q5_k_m |
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- q6_k |
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- q8_0 |
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--- |
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# parsak/phi-2-code-instruct-GGUF |
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Quantized GGUF model files for [phi-2-code-instruct](https://huggingface.co/parsak/phi-2-code-instruct) from [parsak](https://huggingface.co/parsak) |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [phi-2-code-instruct.fp16.gguf](https://huggingface.co/afrideva/phi-2-code-instruct-GGUF/resolve/main/phi-2-code-instruct.fp16.gguf) | fp16 | 5.56 GB | |
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| [phi-2-code-instruct.q2_k.gguf](https://huggingface.co/afrideva/phi-2-code-instruct-GGUF/resolve/main/phi-2-code-instruct.q2_k.gguf) | q2_k | 1.11 GB | |
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| [phi-2-code-instruct.q3_k_m.gguf](https://huggingface.co/afrideva/phi-2-code-instruct-GGUF/resolve/main/phi-2-code-instruct.q3_k_m.gguf) | q3_k_m | 1.43 GB | |
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| [phi-2-code-instruct.q4_k_m.gguf](https://huggingface.co/afrideva/phi-2-code-instruct-GGUF/resolve/main/phi-2-code-instruct.q4_k_m.gguf) | q4_k_m | 1.74 GB | |
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| [phi-2-code-instruct.q5_k_m.gguf](https://huggingface.co/afrideva/phi-2-code-instruct-GGUF/resolve/main/phi-2-code-instruct.q5_k_m.gguf) | q5_k_m | 2.00 GB | |
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| [phi-2-code-instruct.q6_k.gguf](https://huggingface.co/afrideva/phi-2-code-instruct-GGUF/resolve/main/phi-2-code-instruct.q6_k.gguf) | q6_k | 2.29 GB | |
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| [phi-2-code-instruct.q8_0.gguf](https://huggingface.co/afrideva/phi-2-code-instruct-GGUF/resolve/main/phi-2-code-instruct.q8_0.gguf) | q8_0 | 2.96 GB | |
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## Original Model Card: |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** [Parsa K.] |
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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):** [English, Python (Responses in other programming languages might be inconsistent)] |
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- **License:** [MIT] |
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- **Finetuned from model [optional]:** [[microsoft/phi-2](https://huggingface.co/microsoft/phi-2)] |
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### Model Sources [optional] |
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- **Repository:** [More Information Needed] |
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- **Paper [optional]:** [More Information Needed] |
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- **Demo [optional]:** [More Information Needed] |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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### Direct Use |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
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[More Information Needed] |
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### Downstream Use [optional] |
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[More Information Needed] |
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### Out-of-Scope Use |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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[More Information Needed] |
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### Recommendations |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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[More Information Needed] |
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## Training Details |
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### Training Data |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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[More Information Needed] |
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### Training Procedure |
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#### Preprocessing [optional] |
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[More Information Needed] |
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#### Training Hyperparameters |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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#### Speeds, Sizes, Times [optional] |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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[More Information Needed] |
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## Evaluation |
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<!-- This section describes the evaluation protocols and provides the results. --> |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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[More Information Needed] |
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#### Factors |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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[More Information Needed] |
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#### Metrics |
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[More Information Needed] |
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### Results |
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[More Information Needed] |
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#### Summary |
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## Model Examination [optional] |
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<!-- Relevant interpretability work for the model goes here --> |
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[More Information Needed] |
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## Environmental Impact |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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- **Hardware Type:** [More Information Needed] |
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- **Carbon Emitted:** [More Information Needed] |
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## Technical Specifications [optional] |
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### Model Architecture and Objective |
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[More Information Needed] |
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### Compute Infrastructure |
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[More Information Needed] |
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#### Hardware |
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[More Information Needed] |
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#### Software |
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[More Information Needed] |
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## Citation [optional] |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Glossary [optional] |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Model Card Authors [optional] |
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## Model Card Contact |
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