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Llama-3.1-8B-precise-if – AI Model by pmahdavi | AlphaNeural AI
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Llama-3.1-8B-precise-if
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transformers
safetensors
llama
text-generation
llama-factory
full
generated_from_trainer
conversational
tulu3_category_loader
2509.11167
meta-llama/Llama-3.1-8B
finetune
other
text-generation-inference
endpoints_compatible
us
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Llama-3.1-8B_tulu3_mixture_precise_if_full_ebs128_lr1e-05
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B
on the tulu3_mixture_precise_if dataset. This checkpoint was released alongside
https://arxiv.org/abs/2509.11167
.
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: 1e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 32
total_train_batch_size: 128
total_eval_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1.0
Training results
Framework versions
Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.0
