Quantization made by Richard Erkhov.

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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	Q2_K	2.96GB
s2-oracle-trained_drone_dataset.IQ3_XS.gguf	IQ3_XS	3.28GB
s2-oracle-trained_drone_dataset.IQ3_S.gguf	IQ3_S	3.43GB
s2-oracle-trained_drone_dataset.Q3_K_S.gguf	Q3_K_S	3.41GB
s2-oracle-trained_drone_dataset.IQ3_M.gguf	IQ3_M	3.52GB
s2-oracle-trained_drone_dataset.Q3_K.gguf	Q3_K	3.74GB
s2-oracle-trained_drone_dataset.Q3_K_M.gguf	Q3_K_M	3.74GB
s2-oracle-trained_drone_dataset.Q3_K_L.gguf	Q3_K_L	4.03GB
s2-oracle-trained_drone_dataset.IQ4_XS.gguf	IQ4_XS	4.18GB
s2-oracle-trained_drone_dataset.Q4_0.gguf	Q4_0	4.34GB
s2-oracle-trained_drone_dataset.IQ4_NL.gguf	IQ4_NL	4.38GB
s2-oracle-trained_drone_dataset.Q4_K_S.gguf	Q4_K_S	4.37GB
s2-oracle-trained_drone_dataset.Q4_K.gguf	Q4_K	4.58GB
s2-oracle-trained_drone_dataset.Q4_K_M.gguf	Q4_K_M	4.58GB
s2-oracle-trained_drone_dataset.Q4_1.gguf	Q4_1	4.78GB
s2-oracle-trained_drone_dataset.Q5_0.gguf	Q5_0	5.21GB
s2-oracle-trained_drone_dataset.Q5_K_S.gguf	Q5_K_S	5.21GB
s2-oracle-trained_drone_dataset.Q5_K.gguf	Q5_K	5.34GB
s2-oracle-trained_drone_dataset.Q5_K_M.gguf	Q5_K_M	5.34GB
s2-oracle-trained_drone_dataset.Q5_1.gguf	Q5_1	5.65GB
s2-oracle-trained_drone_dataset.Q6_K.gguf	Q6_K	6.14GB
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

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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 and Huggingface's TRL library.