Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) tinyllama-email-model-full - GGUF - Model creator: https://huggingface.co/amichalski2/ - Original model: https://huggingface.co/amichalski2/tinyllama-email-model-full/ | Name | Quant method | Size | | ---- | ---- | ---- | | [tinyllama-email-model-full.Q2_K.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q2_K.gguf) | Q2_K | 0.4GB | | [tinyllama-email-model-full.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.IQ3_XS.gguf) | IQ3_XS | 0.44GB | | [tinyllama-email-model-full.IQ3_S.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.IQ3_S.gguf) | IQ3_S | 0.47GB | | [tinyllama-email-model-full.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q3_K_S.gguf) | Q3_K_S | 0.47GB | | [tinyllama-email-model-full.IQ3_M.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.IQ3_M.gguf) | IQ3_M | 0.48GB | | [tinyllama-email-model-full.Q3_K.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q3_K.gguf) | Q3_K | 0.51GB | | [tinyllama-email-model-full.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q3_K_M.gguf) | Q3_K_M | 0.51GB | | [tinyllama-email-model-full.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q3_K_L.gguf) | Q3_K_L | 0.55GB | | [tinyllama-email-model-full.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.IQ4_XS.gguf) | IQ4_XS | 0.57GB | | [tinyllama-email-model-full.Q4_0.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q4_0.gguf) | Q4_0 | 0.59GB | | [tinyllama-email-model-full.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.IQ4_NL.gguf) | IQ4_NL | 0.6GB | | [tinyllama-email-model-full.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q4_K_S.gguf) | Q4_K_S | 0.6GB | | [tinyllama-email-model-full.Q4_K.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q4_K.gguf) | Q4_K | 0.62GB | | [tinyllama-email-model-full.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q4_K_M.gguf) | Q4_K_M | 0.62GB | | [tinyllama-email-model-full.Q4_1.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q4_1.gguf) | Q4_1 | 0.65GB | | [tinyllama-email-model-full.Q5_0.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q5_0.gguf) | Q5_0 | 0.71GB | | [tinyllama-email-model-full.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q5_K_S.gguf) | Q5_K_S | 0.71GB | | [tinyllama-email-model-full.Q5_K.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q5_K.gguf) | Q5_K | 0.73GB | | [tinyllama-email-model-full.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q5_K_M.gguf) | Q5_K_M | 0.73GB | | [tinyllama-email-model-full.Q5_1.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q5_1.gguf) | Q5_1 | 0.77GB | | [tinyllama-email-model-full.Q6_K.gguf](https://huggingface.co/RichardErkhov/amichalski2_-_tinyllama-email-model-full-gguf/blob/main/tinyllama-email-model-full.Q6_K.gguf) | Q6_K | 0.84GB | Original model description: --- library_name: transformers tags: [] --- # 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]