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RichardErkhov/
tongliuphysics_-_zephyr-7b-ultra-p-0.03-gguf

Name: tongliuphysics_-_zephyr-7b-ultra-p-0.03-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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zephyr-7b-ultra-p-0.03 - GGUF

Model creator: https://huggingface.co/tongliuphysics/
Original model: https://huggingface.co/tongliuphysics/zephyr-7b-ultra-p-0.03/

Name	Quant method	Size
zephyr-7b-ultra-p-0.03.Q2_K.gguf	Q2_K	2.53GB
zephyr-7b-ultra-p-0.03.IQ3_XS.gguf	IQ3_XS	2.81GB
zephyr-7b-ultra-p-0.03.IQ3_S.gguf	IQ3_S	2.96GB
zephyr-7b-ultra-p-0.03.Q3_K_S.gguf	Q3_K_S	2.95GB
zephyr-7b-ultra-p-0.03.IQ3_M.gguf	IQ3_M	3.06GB
zephyr-7b-ultra-p-0.03.Q3_K.gguf	Q3_K	3.28GB
zephyr-7b-ultra-p-0.03.Q3_K_M.gguf	Q3_K_M	3.28GB
zephyr-7b-ultra-p-0.03.Q3_K_L.gguf	Q3_K_L	3.56GB
zephyr-7b-ultra-p-0.03.IQ4_XS.gguf	IQ4_XS	3.67GB
zephyr-7b-ultra-p-0.03.Q4_0.gguf	Q4_0	3.83GB
zephyr-7b-ultra-p-0.03.IQ4_NL.gguf	IQ4_NL	3.87GB
zephyr-7b-ultra-p-0.03.Q4_K_S.gguf	Q4_K_S	3.86GB
zephyr-7b-ultra-p-0.03.Q4_K.gguf	Q4_K	4.07GB
zephyr-7b-ultra-p-0.03.Q4_K_M.gguf	Q4_K_M	4.07GB
zephyr-7b-ultra-p-0.03.Q4_1.gguf	Q4_1	4.24GB
zephyr-7b-ultra-p-0.03.Q5_0.gguf	Q5_0	4.65GB
zephyr-7b-ultra-p-0.03.Q5_K_S.gguf	Q5_K_S	4.65GB
zephyr-7b-ultra-p-0.03.Q5_K.gguf	Q5_K	4.78GB
zephyr-7b-ultra-p-0.03.Q5_K_M.gguf	Q5_K_M	4.78GB
zephyr-7b-ultra-p-0.03.Q5_1.gguf	Q5_1	5.07GB
zephyr-7b-ultra-p-0.03.Q6_K.gguf	Q6_K	5.53GB
zephyr-7b-ultra-p-0.03.Q8_0.gguf	Q8_0	7.17GB

Original model description:

library_name: transformers license: apache-2.0 base_model: alignment-handbook/zephyr-7b-sft-full tags:

trl
dpo
generated_from_trainer model-index:
name: zephyr-7b-ultra-p-0.03 results: []

zephyr-7b-ultra-p-0.03

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5093
Rewards/chosen: -0.5738
Rewards/rejected: -1.9426
Rewards/accuracies: 0.7188
Rewards/margins: 1.3688
Logps/rejected: -266.9053
Logps/chosen: -235.7460
Logits/rejected: -2.5874
Logits/chosen: -2.6524

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-07
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.5792	0.1030	100	0.5523	-0.2490	-0.8768	0.6953	0.6278	-256.2472	-232.4978	-2.5792	-2.6447
0.5414	0.2060	200	0.5345	-0.5674	-1.5354	0.7031	0.9680	-262.8332	-235.6819	-2.4884	-2.5509
0.5332	0.3090	300	0.5228	-0.4996	-1.3691	0.6797	0.8695	-261.1697	-235.0035	-2.5201	-2.5875
0.517	0.4120	400	0.5328	-0.6976	-2.1007	0.7344	1.4031	-268.4859	-236.9835	-2.6132	-2.6770
0.5108	0.5150	500	0.5212	-0.4373	-1.7338	0.6953	1.2966	-264.8175	-234.3803	-2.6314	-2.6952
0.5027	0.6180	600	0.5215	-0.4051	-1.7631	0.7266	1.3580	-265.1102	-234.0588	-2.5777	-2.6427
0.52	0.7210	700	0.5197	-0.4182	-1.6831	0.7188	1.2649	-264.3105	-234.1898	-2.6053	-2.6677
0.5308	0.8240	800	0.5167	-0.5398	-1.9222	0.7266	1.3824	-266.7009	-235.4056	-2.6061	-2.6709
0.4846	0.9270	900	0.5086	-0.5308	-1.8569	0.7109	1.3261	-266.0478	-235.3156	-2.5822	-2.6476

Framework versions

Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.20.0

RichardErkhov/tongliuphysics_-_zephyr-7b-ultra-p-0.03-gguf

Original model description:

zephyr-7b-ultra-p-0.03

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
tongliuphysics_-_zephyr-7b-ultra-p-0.03-gguf