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math-lora – AI Model by davisrbr | AlphaNeural AI

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davisrbr/
math-lora

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ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16

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math-lora

This model is a fine-tuned version of ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16 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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 10000

Framework versions

PEFT 0.12.1.dev0
Transformers 4.45.0.dev0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1