selectorseb_-_s2-oracle-trained_drone_dataset-gguf/README.md

Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

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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.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)