ENERGY-DRINK-LOVE_-_deepnoid_DPOv3-gguf – AI Model by RichardErkhov | AlphaNeural AI

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ENERGY-DRINK-LOVE_-_deepnoid_DPOv3-gguf

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deepnoid_DPOv3 - GGUF

Model creator: https://huggingface.co/ENERGY-DRINK-LOVE/
Original model: https://huggingface.co/ENERGY-DRINK-LOVE/deepnoid_DPOv3/

Name	Quant method	Size
deepnoid_DPOv3.Q2_K.gguf	Q2_K	3.73GB
deepnoid_DPOv3.Q3_K_S.gguf	Q3_K_S	4.34GB
deepnoid_DPOv3.Q3_K.gguf	Q3_K	4.84GB
deepnoid_DPOv3.Q3_K_M.gguf	Q3_K_M	4.84GB
deepnoid_DPOv3.Q3_K_L.gguf	Q3_K_L	5.26GB
deepnoid_DPOv3.IQ4_XS.gguf	IQ4_XS	5.43GB
deepnoid_DPOv3.Q4_0.gguf	Q4_0	5.66GB
deepnoid_DPOv3.IQ4_NL.gguf	IQ4_NL	5.72GB
deepnoid_DPOv3.Q4_K_S.gguf	Q4_K_S	5.7GB
deepnoid_DPOv3.Q4_K.gguf	Q4_K	6.02GB
deepnoid_DPOv3.Q4_K_M.gguf	Q4_K_M	6.02GB
deepnoid_DPOv3.Q4_1.gguf	Q4_1	6.27GB
deepnoid_DPOv3.Q5_0.gguf	Q5_0	6.89GB
deepnoid_DPOv3.Q5_K_S.gguf	Q5_K_S	6.89GB
deepnoid_DPOv3.Q5_K.gguf	Q5_K	7.08GB
deepnoid_DPOv3.Q5_K_M.gguf	Q5_K_M	7.08GB
deepnoid_DPOv3.Q5_1.gguf	Q5_1	7.51GB
deepnoid_DPOv3.Q6_K.gguf	Q6_K	8.2GB
deepnoid_DPOv3.Q8_0.gguf	Q8_0	10.62GB

Original model description:

license: apache-2.0 base_model: Deepnoid/mergekit_v2 tags:

trl
dpo
generated_from_trainer model-index:
name: nhn_dpo_v3_mergekit_v2_DPO results: []

nhn_dpo_v3_mergekit_v2_DPO

This model is a fine-tuned version of Deepnoid/mergekit_v2 on an unknown 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: 5e-07
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 6
gradient_accumulation_steps: 8
total_train_batch_size: 48
total_eval_batch_size: 48
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 4.36.2
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.1