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Llama-3.2-1B-hf-DPO_V3-CSQ-8-LookAhead-0_TTree1.2_TT0.9_TP0.7_TE0.1_V3 – AI Model by LBK95 | AlphaNeural AI
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Llama-3.2-1B-hf-DPO_V3-CSQ-8-LookAhead-0_TTree1.2_TT0.9_TP0.7_TE0.1_V3
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peft
safetensors
trl
dpo
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meta-llama/Llama-3.2-1B
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llama3.2
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Llama-3.2-1B-hf-DPO_V3-CSQ-8-LookAhead-0_TTree1.2_TT0.9_TP0.7_TE0.1_V3
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B
on the None 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-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 3
Training results
Framework versions
PEFT 0.15.2
Transformers 4.45.2
Pytorch 2.8.0+cu126
Datasets 2.14.4
Tokenizers 0.20.3
