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LLaMA-O1-Base-1127-GGUF – AI Model by QuantFactory | AlphaNeural AI
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LLaMA-O1-Base-1127-GGUF
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meta-llama/Llama-3.1-8B-Instruct
quantized
conversational
endpoints_compatible
full
generated_from_trainer
gguf
template
other
llama-factory
us
transformers
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QuantFactory/LLaMA-O1-Base-1127-GGUF
This is quantized version of
SimpleBerry/LLaMA-O1-Base-1127
created using llama.cpp
Original Model Card
SimpleBerry/LLaMA-O1-Base-1127
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B-Instruct
on the longcot_pt dataset.
Do not use this model without supervised training, please use
LLaMA-O1-Supervised-1129
for directly usage.
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: 8
seed: 42
distributed_type: multi-GPU
num_devices: 24
total_train_batch_size: 24
total_eval_batch_size: 192
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: cosine
num_epochs: 4.0
Training results
Framework versions
Transformers 4.46.2
Pytorch 2.3.1
Datasets 3.1.0
Tokenizers 0.20.1