Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) s2-oracle-trained_drone_dataset - GGUF - Model creator: https://huggingface.co/selectorseb/ - Original model: https://huggingface.co/selectorseb/s2-oracle-trained_drone_dataset/ | Name | Quant method | Size | | ---- | ---- | ---- | | [s2-oracle-trained_drone_dataset.Q2_K.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q2_K.gguf) | Q2_K | 2.96GB | | [s2-oracle-trained_drone_dataset.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.IQ3_XS.gguf) | IQ3_XS | 3.28GB | | [s2-oracle-trained_drone_dataset.IQ3_S.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.IQ3_S.gguf) | IQ3_S | 3.43GB | | [s2-oracle-trained_drone_dataset.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q3_K_S.gguf) | Q3_K_S | 3.41GB | | [s2-oracle-trained_drone_dataset.IQ3_M.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.IQ3_M.gguf) | IQ3_M | 3.52GB | | [s2-oracle-trained_drone_dataset.Q3_K.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q3_K.gguf) | Q3_K | 3.74GB | | [s2-oracle-trained_drone_dataset.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q3_K_M.gguf) | Q3_K_M | 3.74GB | | [s2-oracle-trained_drone_dataset.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q3_K_L.gguf) | Q3_K_L | 4.03GB | | [s2-oracle-trained_drone_dataset.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.IQ4_XS.gguf) | IQ4_XS | 4.18GB | | [s2-oracle-trained_drone_dataset.Q4_0.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q4_0.gguf) | Q4_0 | 4.34GB | | [s2-oracle-trained_drone_dataset.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.IQ4_NL.gguf) | IQ4_NL | 4.38GB | | [s2-oracle-trained_drone_dataset.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q4_K_S.gguf) | Q4_K_S | 4.37GB | | [s2-oracle-trained_drone_dataset.Q4_K.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q4_K.gguf) | Q4_K | 4.58GB | | [s2-oracle-trained_drone_dataset.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q4_K_M.gguf) | Q4_K_M | 4.58GB | | [s2-oracle-trained_drone_dataset.Q4_1.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q4_1.gguf) | Q4_1 | 4.78GB | | [s2-oracle-trained_drone_dataset.Q5_0.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q5_0.gguf) | Q5_0 | 5.21GB | | [s2-oracle-trained_drone_dataset.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q5_K_S.gguf) | Q5_K_S | 5.21GB | | [s2-oracle-trained_drone_dataset.Q5_K.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q5_K.gguf) | Q5_K | 5.34GB | | [s2-oracle-trained_drone_dataset.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q5_K_M.gguf) | Q5_K_M | 5.34GB | | [s2-oracle-trained_drone_dataset.Q5_1.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q5_1.gguf) | Q5_1 | 5.65GB | | [s2-oracle-trained_drone_dataset.Q6_K.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q6_K.gguf) | Q6_K | 6.14GB | | [s2-oracle-trained_drone_dataset.Q8_0.gguf](https://huggingface.co/RichardErkhov/selectorseb_-_s2-oracle-trained_drone_dataset-gguf/blob/main/s2-oracle-trained_drone_dataset.Q8_0.gguf) | Q8_0 | 7.95GB | Original model description: --- base_model: unsloth/Meta-Llama-3.1-8B-Instruct language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - llama - trl --- # Uploaded model - **Developed by:** selectorseb - **License:** apache-2.0 - **Finetuned from model :** unsloth/Meta-Llama-3.1-8B-Instruct This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [](https://github.com/unslothai/unsloth)