--- base_model: lakshraina2/leetcodeAI library_name: transformers tags: [] --- # GGUF Files for leetcodeAI These are the GGUF files for [lakshraina2/leetcodeAI](https://huggingface.co/lakshraina2/leetcodeAI). ## Downloads | GGUF Link | Quantization | Description | | ---- | ----- | ----------- | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.Q2_K.gguf) | Q2_K | Lowest quality | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.Q3_K_S.gguf) | Q3_K_S | | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.IQ3_S.gguf) | IQ3_S | Integer quant, preferable over Q3_K_S | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.IQ3_M.gguf) | IQ3_M | Integer quant | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.Q3_K_M.gguf) | Q3_K_M | | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.Q3_K_L.gguf) | Q3_K_L | | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.IQ4_XS.gguf) | IQ4_XS | Integer quant | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.Q4_K_S.gguf) | Q4_K_S | Fast with good performance | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.Q4_K_M.gguf) | Q4_K_M | **Recommended:** Perfect mix of speed and performance | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.Q5_K_S.gguf) | Q5_K_S | | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.Q5_K_M.gguf) | Q5_K_M | | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.Q6_K.gguf) | Q6_K | Very good quality | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.Q8_0.gguf) | Q8_0 | Best quality | | [Download](https://huggingface.co/Flexan/lakshraina2-leetcodeAI-GGUF/resolve/main/leetcodeAI.f16.gguf) | f16 | Full precision, don't bother; use a quant | ## Note from Flexan I provide GGUFs and quantizations of publicly available models that do not have a GGUF equivalent available yet, usually for models **I deem interesting and wish to try out**. If there are some quants missing that you'd like me to add, you may request one in the community tab. If you want to request a public model to be converted, you can also request that in the community tab. If you have questions regarding this model, please refer to [the original model repo](https://huggingface.co/lakshraina2/leetcodeAI). You can find more info about me and what I do [here](https://huggingface.co/Flexan/Flexan). # Model Card for Model ID ## Model Details ### Model Description This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Downstream Use [optional] [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### Recommendations Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data [More Information Needed] ### Training Procedure #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] #### Speeds, Sizes, Times [optional] [More Information Needed] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data [More Information Needed] #### Factors [More Information Needed] #### Metrics [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] [More Information Needed] ## Environmental Impact 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). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]