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llama-expert-gguf – AI Model by ssen4703 | AlphaNeural AI
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ssen4703
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llama-expert-gguf
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adapter
meta-llama/Llama-3.2-3B-Instruct
conversational
endpoints_compatible
gguf
template
llama3.2
lora
peft
us
safetensors
text-generation
transformers
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llama-expert-gguf
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B-Instruct
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: 0.0003
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.16.0
Transformers 4.53.2
Pytorch 2.7.1+cu118
Datasets 2.14.4
Tokenizers 0.21.2
