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RichardErkhov/
taicheng_-_zephyr-7b-align-scan-0.0-0.2-polynomial-3-gguf

Name: taicheng_-_zephyr-7b-align-scan-0.0-0.2-polynomial-3-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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zephyr-7b-align-scan-0.0-0.2-polynomial-3 - GGUF

Model creator: https://huggingface.co/taicheng/
Original model: https://huggingface.co/taicheng/zephyr-7b-align-scan-0.0-0.2-polynomial-3/

Name	Quant method	Size
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q2_K.gguf	Q2_K	2.53GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.IQ3_XS.gguf	IQ3_XS	2.81GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.IQ3_S.gguf	IQ3_S	2.96GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q3_K_S.gguf	Q3_K_S	2.95GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.IQ3_M.gguf	IQ3_M	3.06GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q3_K.gguf	Q3_K	3.28GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q3_K_M.gguf	Q3_K_M	3.28GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q3_K_L.gguf	Q3_K_L	3.56GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.IQ4_XS.gguf	IQ4_XS	3.67GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q4_0.gguf	Q4_0	3.83GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.IQ4_NL.gguf	IQ4_NL	3.87GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q4_K_S.gguf	Q4_K_S	3.86GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q4_K.gguf	Q4_K	4.07GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q4_K_M.gguf	Q4_K_M	4.07GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q4_1.gguf	Q4_1	4.24GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q5_0.gguf	Q5_0	4.65GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q5_K_S.gguf	Q5_K_S	4.65GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q5_K.gguf	Q5_K	4.78GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q5_K_M.gguf	Q5_K_M	4.78GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q5_1.gguf	Q5_1	5.07GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.Q6_K.gguf	Q6_K	5.53GB
zephyr-7b-align-scan-0.0-0.2-polynomial-3.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:

alignment-handbook
trl
dpo
generated_from_trainer
trl
dpo
alignment-handbook
generated_from_trainer datasets:
HuggingFaceH4/ultrafeedback_binarized model-index:
name: zephyr-7b-align-scan-0.0-0.2-polynomial-3 results: []

zephyr-7b-align-scan-0.0-0.2-polynomial-3

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

Loss: 0.6601
Rewards/chosen: -1.0432
Rewards/rejected: -1.4686
Rewards/accuracies: 0.3313
Rewards/margins: 0.4254
Logps/rejected: -89.9617
Logps/chosen: -80.7659
Logits/rejected: -2.4878
Logits/chosen: -2.5051

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: 7.526744872300726e-07
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: polynomial
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Logits/chosen	Logits/rejected	Logps/chosen	Logps/rejected	Validation Loss	Rewards/accuracies	Rewards/chosen	Rewards/margins	Rewards/rejected
0.5502	1.0417	100	-2.5290	-2.5124	-73.3173	-81.0099	0.6403	0.3254	0.2781	0.2500	0.0281
0.377	2.0833	200	-2.5251	-2.5078	-75.2992	-83.7654	0.6467	0.3313	-0.1914	0.4333	-0.6247

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

RichardErkhov/taicheng_-_zephyr-7b-align-scan-0.0-0.2-polynomial-3-gguf

Original model description:

zephyr-7b-align-scan-0.0-0.2-polynomial-3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
taicheng_-_zephyr-7b-align-scan-0.0-0.2-polynomial-3-gguf