hardiksinh/master-python-coder-llm

1---2base_model: unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit3library_name: peft4pipeline_tag: text-generation5tags:6- base_model:adapter:unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit7- lora8- sft9- transformers10- trl11- unsloth12---13 14# Model Card for Model ID15 16<!-- Provide a quick summary of what the model is/does. -->17 18 19 20## Model Details21 22### Model Description23 24<!-- Provide a longer summary of what this model is. -->25 26 27 28- **Developed by:** [More Information Needed]29- **Funded by [optional]:** [More Information Needed]30- **Shared by [optional]:** [More Information Needed]31- **Model type:** [More Information Needed]32- **Language(s) (NLP):** [More Information Needed]33- **License:** [More Information Needed]34- **Finetuned from model [optional]:** [More Information Needed]35 36### Model Sources [optional]37 38<!-- Provide the basic links for the model. -->39 40- **Repository:** [More Information Needed]41- **Paper [optional]:** [More Information Needed]42- **Demo [optional]:** [More Information Needed]43 44## Uses45 46<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->47 48### Direct Use49 50<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->51 52[More Information Needed]53 54### Downstream Use [optional]55 56<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->57 58[More Information Needed]59 60### Out-of-Scope Use61 62<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->63 64[More Information Needed]65 66## Bias, Risks, and Limitations67 68<!-- This section is meant to convey both technical and sociotechnical limitations. -->69 70[More Information Needed]71 72### Recommendations73 74<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->75 76Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.77 78## How to Get Started with the Model79 80Use the code below to get started with the model.81 82[More Information Needed]83 84## Training Details85 86### Training Data87 88<!-- 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. -->89 90[More Information Needed]91 92### Training Procedure93 94<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->95 96#### Preprocessing [optional]97 98[More Information Needed]99 100 101#### Training Hyperparameters102 103- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->104 105#### Speeds, Sizes, Times [optional]106 107<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->108 109[More Information Needed]110 111## Evaluation112 113<!-- This section describes the evaluation protocols and provides the results. -->114 115### Testing Data, Factors & Metrics116 117#### Testing Data118 119<!-- This should link to a Dataset Card if possible. -->120 121[More Information Needed]122 123#### Factors124 125<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->126 127[More Information Needed]128 129#### Metrics130 131<!-- These are the evaluation metrics being used, ideally with a description of why. -->132 133[More Information Needed]134 135### Results136 137[More Information Needed]138 139#### Summary140 141 142 143## Model Examination [optional]144 145<!-- Relevant interpretability work for the model goes here -->146 147[More Information Needed]148 149## Environmental Impact150 151<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->152 153Carbon 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).154 155- **Hardware Type:** [More Information Needed]156- **Hours used:** [More Information Needed]157- **Cloud Provider:** [More Information Needed]158- **Compute Region:** [More Information Needed]159- **Carbon Emitted:** [More Information Needed]160 161## Technical Specifications [optional]162 163### Model Architecture and Objective164 165[More Information Needed]166 167### Compute Infrastructure168 169[More Information Needed]170 171#### Hardware172 173[More Information Needed]174 175#### Software176 177[More Information Needed]178 179## Citation [optional]180 181<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->182 183**BibTeX:**184 185[More Information Needed]186 187**APA:**188 189[More Information Needed]190 191## Glossary [optional]192 193<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->194 195[More Information Needed]196 197## More Information [optional]198 199[More Information Needed]200 201## Model Card Authors [optional]202 203[More Information Needed]204 205## Model Card Contact206 207[More Information Needed]208### Framework versions209 210- PEFT 0.19.1