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RichardErkhov/
sahandrez_-_sft-gemma-2-2b-ultrafeedback-gguf

Name: sahandrez_-_sft-gemma-2-2b-ultrafeedback-gguf
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Quantization made by Richard Erkhov.

sft-gemma-2-2b-ultrafeedback - GGUF

Name	Quant method	Size
sft-gemma-2-2b-ultrafeedback.Q2_K.gguf	Q2_K	1.15GB
sft-gemma-2-2b-ultrafeedback.IQ3_XS.gguf	IQ3_XS	1.22GB
sft-gemma-2-2b-ultrafeedback.IQ3_S.gguf	IQ3_S	1.27GB
sft-gemma-2-2b-ultrafeedback.Q3_K_S.gguf	Q3_K_S	1.27GB
sft-gemma-2-2b-ultrafeedback.IQ3_M.gguf	IQ3_M	1.3GB
sft-gemma-2-2b-ultrafeedback.Q3_K.gguf	Q3_K	1.36GB
sft-gemma-2-2b-ultrafeedback.Q3_K_M.gguf	Q3_K_M	1.36GB
sft-gemma-2-2b-ultrafeedback.Q3_K_L.gguf	Q3_K_L	1.44GB
sft-gemma-2-2b-ultrafeedback.IQ4_XS.gguf	IQ4_XS	1.47GB
sft-gemma-2-2b-ultrafeedback.Q4_0.gguf	Q4_0	1.52GB
sft-gemma-2-2b-ultrafeedback.IQ4_NL.gguf	IQ4_NL	1.53GB
sft-gemma-2-2b-ultrafeedback.Q4_K_S.gguf	Q4_K_S	1.53GB
sft-gemma-2-2b-ultrafeedback.Q4_K.gguf	Q4_K	1.59GB
sft-gemma-2-2b-ultrafeedback.Q4_K_M.gguf	Q4_K_M	1.59GB
sft-gemma-2-2b-ultrafeedback.Q4_1.gguf	Q4_1	1.64GB
sft-gemma-2-2b-ultrafeedback.Q5_0.gguf	Q5_0	1.75GB
sft-gemma-2-2b-ultrafeedback.Q5_K_S.gguf	Q5_K_S	1.75GB
sft-gemma-2-2b-ultrafeedback.Q5_K.gguf	Q5_K	1.79GB
sft-gemma-2-2b-ultrafeedback.Q5_K_M.gguf	Q5_K_M	1.79GB
sft-gemma-2-2b-ultrafeedback.Q5_1.gguf	Q5_1	1.87GB
sft-gemma-2-2b-ultrafeedback.Q6_K.gguf	Q6_K	2.0GB
sft-gemma-2-2b-ultrafeedback.Q8_0.gguf	Q8_0	2.59GB

Original model description:

library_name: transformers license: gemma base_model: google/gemma-2-2b tags:

This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss
1.3539	0.3350	20	1.3197
1.3073	0.6700	40	1.2901
1.307	1.0050	60	1.2739
1.2327	1.3400	80	1.2642
1.2515	1.6750	100	1.2567
1.2139	2.0099	120	1.2523
1.2023	2.3449	140	1.2509
1.2031	2.6799	160	1.2499