FerdinandC/llama-autocomplete-code-finetuned

1---2base_model: meta-llama/Meta-Llama-3.1-8B-Instruct3library_name: peft4datasets:5- iamtarun/python_code_instructions_18k_alpaca6language:7- en8tags:9- code10- text-generation-inference11pipeline_tag: text-generation12---13 14# Model Card for Model ID15 16<!-- Provide a quick summary of what the model is/does. -->17 18This model is a fine-tuned version of LLaMA 3.1_8B, optimized specifically for Python code generation. Trained on a dataset of Python code examples, it is designed to generate accurate Python code snippets based on textual prompts. It understands Python syntax, structures, and common coding patterns, making it suitable for tasks such as code completion, function generation, and problem-solving in Python.19 20This model is particularly useful for developers looking for automated assistance in Python coding tasks, providing suggestions or full code blocks to accelerate the development process. Its specialized training allows it to generate well-formed Python code with a higher degree of accuracy compared to a general-purpose language model.21 22While the model performs well in generating Python code, it may still require validation to ensure the output adheres to the expected behavior in specific contexts. Integration into IDEs or use cases like code autocompletion tools can enhance developer productivity by reducing manual effort and improving coding efficiency.23 24This model can be a valuable resource for anyone working with Python, from beginners to experienced programmers seeking code automation.25 26## Model Details27 28### Model Description29 30<!-- Provide a longer summary of what this model is. -->31 32 33 34- **Developed by:** [FerdinandC]35- **Funded by [optional]:** [More Information Needed]36- **Shared by [optional]:** [More Information Needed]37- **Model type:** [text generation]38- **Language(s) (NLP):** [python, transformers, peft]39- **License:** [More Information Needed]40- **Finetuned from model [optional]:** [meta-llama/Llama-3.1-8B-Instruct]41 42### Model Sources [optional]43 44<!-- Provide the basic links for the model. -->45 46- **Repository:** [https://huggingface.co/FerdinandC/llama-autocomplete-code-finetuned/tree/main]47- **Paper [optional]:** [More Information Needed]48- **Demo [optional]:** [More Information Needed]49 50## Uses51 52<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->53 54### Direct Use55 56<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->57 58[More Information Needed]59 60### Downstream Use [optional]61 62<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->63 64[More Information Needed]65 66### Out-of-Scope Use67 68<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->69 70[More Information Needed]71 72## Bias, Risks, and Limitations73 74<!-- This section is meant to convey both technical and sociotechnical limitations. -->75 76[More Information Needed]77 78### Recommendations79 80<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->81 82Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.83 84## How to Get Started with the Model85 86Use the code below to get started with the model.87 88[More Information Needed]89 90## Training Details91 92### Training Data93 94<!-- 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. -->95 96[More Information Needed]97 98### Training Procedure99 100<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->101 102#### Preprocessing [optional]103 104[More Information Needed]105 106 107#### Training Hyperparameters108 109- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->110 111#### Speeds, Sizes, Times [optional]112 113<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->114 115[More Information Needed]116 117## Evaluation118 119<!-- This section describes the evaluation protocols and provides the results. -->120 121### Testing Data, Factors & Metrics122 123#### Testing Data124 125<!-- This should link to a Dataset Card if possible. -->126 127[More Information Needed]128 129#### Factors130 131<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->132 133[More Information Needed]134 135#### Metrics136 137<!-- These are the evaluation metrics being used, ideally with a description of why. -->138 139[More Information Needed]140 141### Results142 143[More Information Needed]144 145#### Summary146 147 148 149## Model Examination [optional]150 151<!-- Relevant interpretability work for the model goes here -->152 153[More Information Needed]154 155## Environmental Impact156 157<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->158 159Carbon 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).160 161- **Hardware Type:** [More Information Needed]162- **Hours used:** [More Information Needed]163- **Cloud Provider:** [More Information Needed]164- **Compute Region:** [More Information Needed]165- **Carbon Emitted:** [More Information Needed]166 167## Technical Specifications [optional]168 169### Model Architecture and Objective170 171[More Information Needed]172 173### Compute Infrastructure174 175[More Information Needed]176 177#### Hardware178 179[More Information Needed]180 181#### Software182 183[More Information Needed]184 185## Citation [optional]186 187<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->188 189**BibTeX:**190 191[More Information Needed]192 193**APA:**194 195[More Information Needed]196 197## Glossary [optional]198 199<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->200 201[More Information Needed]202 203## More Information [optional]204 205[More Information Needed]206 207## Model Card Authors [optional]208 209[More Information Needed]210 211## Model Card Contact212 213[More Information Needed]214### Framework versions215 216- PEFT 0.12.0