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RichardErkhov/
interview-eval_-_zephyr-7b-stem-test-gguf

Name: interview-eval_-_zephyr-7b-stem-test-gguf
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Quantization made by Richard Erkhov.

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zephyr-7b-stem-test - GGUF

Model creator: https://huggingface.co/interview-eval/
Original model: https://huggingface.co/interview-eval/zephyr-7b-stem-test/

Name	Quant method	Size
zephyr-7b-stem-test.Q2_K.gguf	Q2_K	2.53GB
zephyr-7b-stem-test.IQ3_XS.gguf	IQ3_XS	2.81GB
zephyr-7b-stem-test.IQ3_S.gguf	IQ3_S	2.96GB
zephyr-7b-stem-test.Q3_K_S.gguf	Q3_K_S	2.95GB
zephyr-7b-stem-test.IQ3_M.gguf	IQ3_M	3.06GB
zephyr-7b-stem-test.Q3_K.gguf	Q3_K	3.28GB
zephyr-7b-stem-test.Q3_K_M.gguf	Q3_K_M	3.28GB
zephyr-7b-stem-test.Q3_K_L.gguf	Q3_K_L	3.56GB
zephyr-7b-stem-test.IQ4_XS.gguf	IQ4_XS	3.67GB
zephyr-7b-stem-test.Q4_0.gguf	Q4_0	3.83GB
zephyr-7b-stem-test.IQ4_NL.gguf	IQ4_NL	3.87GB
zephyr-7b-stem-test.Q4_K_S.gguf	Q4_K_S	3.86GB
zephyr-7b-stem-test.Q4_K.gguf	Q4_K	4.07GB
zephyr-7b-stem-test.Q4_K_M.gguf	Q4_K_M	4.07GB
zephyr-7b-stem-test.Q4_1.gguf	Q4_1	4.24GB
zephyr-7b-stem-test.Q5_0.gguf	Q5_0	4.65GB
zephyr-7b-stem-test.Q5_K_S.gguf	Q5_K_S	4.65GB
zephyr-7b-stem-test.Q5_K.gguf	Q5_K	4.78GB
zephyr-7b-stem-test.Q5_K_M.gguf	Q5_K_M	4.78GB
zephyr-7b-stem-test.Q5_1.gguf	Q5_1	5.07GB
zephyr-7b-stem-test.Q6_K.gguf	Q6_K	5.53GB
zephyr-7b-stem-test.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
sft
generated_from_trainer
trl
sft
generated_from_trainer datasets:
scottsuk0306/DepthQA model-index:
name: zephyr-7b-stem-test results: []

zephyr-7b-stem-test

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the scottsuk0306/DepthQA dataset. It achieves the following results on the evaluation set:

Loss: 0.4085

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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 128
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.1097	1.0	1	1.1095
1.1097	2.0	2	1.2839
1.1097	3.0	3	1.0813
1.1097	4.0	4	0.8745
1.0879	5.0	5	0.7450
1.0879	6.0	6	0.6025
1.0879	7.0	7	0.5167
1.0879	8.0	8	0.4539
1.0879	9.0	9	0.4191
0.547	10.0	10	0.4085

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

RichardErkhov/interview-eval_-_zephyr-7b-stem-test-gguf

Original model description:

zephyr-7b-stem-test

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
interview-eval_-_zephyr-7b-stem-test-gguf