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terry69_-_preference_p0.1_seed42_level2_stylecleanbatch16_reverse-gguf – AI Model by RichardErkhov | AlphaNeural AI
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terry69_-_preference_p0.1_seed42_level2_stylecleanbatch16_reverse-gguf
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preference_p0.1_seed42_level2_stylecleanbatch16_reverse - GGUF
Model creator:
https://huggingface.co/terry69/
Original model:
https://huggingface.co/terry69/preference_p0.1_seed42_level2_stylecleanbatch16_reverse/
Name
Quant method
Size
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q2_K.gguf
Q2_K
2.53GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.IQ3_XS.gguf
IQ3_XS
2.81GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.IQ3_S.gguf
IQ3_S
2.96GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q3_K_S.gguf
Q3_K_S
2.95GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.IQ3_M.gguf
IQ3_M
3.06GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q3_K.gguf
Q3_K
3.28GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q3_K_M.gguf
Q3_K_M
3.28GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q3_K_L.gguf
Q3_K_L
3.56GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.IQ4_XS.gguf
IQ4_XS
3.67GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q4_0.gguf
Q4_0
3.83GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.IQ4_NL.gguf
IQ4_NL
3.87GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q4_K_S.gguf
Q4_K_S
3.86GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q4_K.gguf
Q4_K
4.07GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q4_K_M.gguf
Q4_K_M
4.07GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q4_1.gguf
Q4_1
4.24GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q5_0.gguf
Q5_0
4.65GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q5_K_S.gguf
Q5_K_S
4.65GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q5_K.gguf
Q5_K
4.78GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q5_K_M.gguf
Q5_K_M
4.78GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q5_1.gguf
Q5_1
5.07GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.Q6_K.gguf
Q6_K
5.53GB
preference_p0.1_seed42_level2_stylecleanbatch16_reverse.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
generated_from_trainer datasets:
preference-data model-index:
name: preference_p0.1_seed42_level2_stylecleanbatch16_reverse results: []
preference_p0.1_seed42_level2_stylecleanbatch16_reverse
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.2
on the preference-data dataset.
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
Framework versions
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
