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ISTA-DASLab-Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16-hf-100000_r8 – AI Model by davisrbr | AlphaNeural AI
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ISTA-DASLab-Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16-hf-100000_r8
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peft
safetensors
generated_from_trainer
red_pajama-data-1_t-sample
ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16
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ISTA-DASLab-Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16-hf-100000_r8
This model is a fine-tuned version of
ISTA-DASLab/Meta-Llama-3-8B-Instruct-AQLM-2Bit-1x16
on the red_pajama-data-1_t-sample 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 100000
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
