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mergeLlama-7b-Instruct-hf-quantized-peft-decompile – AI Model by curtisxu | AlphaNeural AI
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mergeLlama-7b-Instruct-hf-quantized-peft-decompile
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/CodeLlama-7b-Instruct-hf
adapter
llama2
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mergeLlama-7b-Instruct-hf-quantized-peft-decompile
This model is a fine-tuned version of
meta-llama/CodeLlama-7b-Instruct-hf
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: 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_ratio: 0.1
training_steps: 200
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.10.1.dev0
Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
