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RichardErkhov/
taicheng_-_zephyr-7b-align-scan-0.0-0.0-linear-1-gguf

Name: taicheng_-_zephyr-7b-align-scan-0.0-0.0-linear-1-gguf
Availability: InStock

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zephyr-7b-align-scan-0.0-0.0-linear-1 - GGUF

Model creator: https://huggingface.co/taicheng/
Original model: https://huggingface.co/taicheng/zephyr-7b-align-scan-0.0-0.0-linear-1/

Name	Quant method	Size
zephyr-7b-align-scan-0.0-0.0-linear-1.Q2_K.gguf	Q2_K	2.53GB
zephyr-7b-align-scan-0.0-0.0-linear-1.IQ3_XS.gguf	IQ3_XS	2.81GB
zephyr-7b-align-scan-0.0-0.0-linear-1.IQ3_S.gguf	IQ3_S	2.96GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q3_K_S.gguf	Q3_K_S	2.95GB
zephyr-7b-align-scan-0.0-0.0-linear-1.IQ3_M.gguf	IQ3_M	3.06GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q3_K.gguf	Q3_K	3.28GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q3_K_M.gguf	Q3_K_M	3.28GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q3_K_L.gguf	Q3_K_L	3.56GB
zephyr-7b-align-scan-0.0-0.0-linear-1.IQ4_XS.gguf	IQ4_XS	3.67GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q4_0.gguf	Q4_0	3.83GB
zephyr-7b-align-scan-0.0-0.0-linear-1.IQ4_NL.gguf	IQ4_NL	3.87GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q4_K_S.gguf	Q4_K_S	3.86GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q4_K.gguf	Q4_K	4.07GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q4_K_M.gguf	Q4_K_M	4.07GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q4_1.gguf	Q4_1	4.24GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q5_0.gguf	Q5_0	4.65GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q5_K_S.gguf	Q5_K_S	4.65GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q5_K.gguf	Q5_K	4.78GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q5_K_M.gguf	Q5_K_M	4.78GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q5_1.gguf	Q5_1	5.07GB
zephyr-7b-align-scan-0.0-0.0-linear-1.Q6_K.gguf	Q6_K	5.53GB
zephyr-7b-align-scan-0.0-0.0-linear-1.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
generated_from_trainer datasets:
HuggingFaceH4/ultrafeedback_binarized model-index:
name: zephyr-7b-align-scan-0.0-0.0-linear-1 results: []

zephyr-7b-align-scan-0.0-0.0-linear-1

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: 0.6357
Rewards/chosen: -0.0757
Rewards/rejected: -0.3058
Rewards/accuracies: 0.3353
Rewards/margins: 0.2301
Logps/rejected: -89.7913
Logps/chosen: -76.6356
Logits/rejected: -2.3906
Logits/chosen: -2.4061

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: 8.639811904061041e-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: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

RichardErkhov/taicheng_-_zephyr-7b-align-scan-0.0-0.0-linear-1-gguf

Original model description:

zephyr-7b-align-scan-0.0-0.0-linear-1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
taicheng_-_zephyr-7b-align-scan-0.0-0.0-linear-1-gguf