You can deploy this model and start earning money today!

RichardErkhov/
terry69_-_preference_p0.1_seed42_level2_raremixbatch16-gguf

Name: terry69_-_preference_p0.1_seed42_level2_raremixbatch16-gguf
Availability: InStock

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

preference_p0.1_seed42_level2_raremixbatch16 - GGUF

Model creator: https://huggingface.co/terry69/
Original model: https://huggingface.co/terry69/preference_p0.1_seed42_level2_raremixbatch16/

Name	Quant method	Size
preference_p0.1_seed42_level2_raremixbatch16.Q2_K.gguf	Q2_K	2.53GB
preference_p0.1_seed42_level2_raremixbatch16.IQ3_XS.gguf	IQ3_XS	2.81GB
preference_p0.1_seed42_level2_raremixbatch16.IQ3_S.gguf	IQ3_S	2.96GB
preference_p0.1_seed42_level2_raremixbatch16.Q3_K_S.gguf	Q3_K_S	2.95GB
preference_p0.1_seed42_level2_raremixbatch16.IQ3_M.gguf	IQ3_M	3.06GB
preference_p0.1_seed42_level2_raremixbatch16.Q3_K.gguf	Q3_K	3.28GB
preference_p0.1_seed42_level2_raremixbatch16.Q3_K_M.gguf	Q3_K_M	3.28GB
preference_p0.1_seed42_level2_raremixbatch16.Q3_K_L.gguf	Q3_K_L	3.56GB
preference_p0.1_seed42_level2_raremixbatch16.IQ4_XS.gguf	IQ4_XS	3.67GB
preference_p0.1_seed42_level2_raremixbatch16.Q4_0.gguf	Q4_0	3.83GB
preference_p0.1_seed42_level2_raremixbatch16.IQ4_NL.gguf	IQ4_NL	3.87GB
preference_p0.1_seed42_level2_raremixbatch16.Q4_K_S.gguf	Q4_K_S	3.86GB
preference_p0.1_seed42_level2_raremixbatch16.Q4_K.gguf	Q4_K	4.07GB
preference_p0.1_seed42_level2_raremixbatch16.Q4_K_M.gguf	Q4_K_M	4.07GB
preference_p0.1_seed42_level2_raremixbatch16.Q4_1.gguf	Q4_1	4.24GB
preference_p0.1_seed42_level2_raremixbatch16.Q5_0.gguf	Q5_0	4.65GB
preference_p0.1_seed42_level2_raremixbatch16.Q5_K_S.gguf	Q5_K_S	4.65GB
preference_p0.1_seed42_level2_raremixbatch16.Q5_K.gguf	Q5_K	4.78GB
preference_p0.1_seed42_level2_raremixbatch16.Q5_K_M.gguf	Q5_K_M	4.78GB
preference_p0.1_seed42_level2_raremixbatch16.Q5_1.gguf	Q5_1	5.07GB
preference_p0.1_seed42_level2_raremixbatch16.Q6_K.gguf	Q6_K	5.53GB
preference_p0.1_seed42_level2_raremixbatch16.Q8_0.gguf	Q8_0	7.17GB

Original model description:

library_name: transformers license: apache-2.0 base_model: mistralai/Mistral-7B-Instruct-v0.2 tags:

alignment-handbook
trl
sft
generated_from_trainer
trl
sft
alignment-handbook
generated_from_trainer datasets:
preference-data model-index:
name: preference_p0.1_seed42_level2_raremixbatch16 results: []

preference_p0.1_seed42_level2_raremixbatch16

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the preference-data dataset. It achieves the following results on the evaluation set:

Loss: 0.2881

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: 4
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 16
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.3161	1.0	2414	0.2881

Framework versions

Transformers 4.44.2
Pytorch 2.3.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

RichardErkhov/terry69_-_preference_p0.1_seed42_level2_raremixbatch16-gguf

Original model description:

preference_p0.1_seed42_level2_raremixbatch16

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
terry69_-_preference_p0.1_seed42_level2_raremixbatch16-gguf