adpretko / x86-to-llvm-o2_epoch1-AMD

huggingface.co
Total runs: 6
24-hour runs: 0
7-day runs: 1
30-day runs: 1
Model's Last Updated: October 30 2025
text-generation

Introduction of x86-to-llvm-o2_epoch1-AMD

Model Details of x86-to-llvm-o2_epoch1-AMD

x86-to-llvm-o2_epoch1

This model is a fine-tuned version of /vast/users/abdulrahman.mahmoud/Nadine_testing/LLaMA-Factory/saves/x86-to-llvm-o2_epoch1/checkpoint-1700 on the None 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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 256
  • total_eval_batch_size: 32
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
  • num_epochs: 1.0
Training results
Framework versions
  • Transformers 4.55.0
  • Pytorch 2.8.0+rocm6.3
  • Datasets 3.6.0
  • Tokenizers 0.21.1

Runs of adpretko x86-to-llvm-o2_epoch1-AMD on huggingface.co

6
Total runs
0
24-hour runs
1
3-day runs
1
7-day runs
1
30-day runs

More Information About x86-to-llvm-o2_epoch1-AMD huggingface.co Model

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x86-to-llvm-o2_epoch1-AMD huggingface.co is an AI model on huggingface.co that provides x86-to-llvm-o2_epoch1-AMD's model effect (), which can be used instantly with this adpretko x86-to-llvm-o2_epoch1-AMD model. huggingface.co supports a free trial of the x86-to-llvm-o2_epoch1-AMD model, and also provides paid use of the x86-to-llvm-o2_epoch1-AMD. Support call x86-to-llvm-o2_epoch1-AMD model through api, including Node.js, Python, http.

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adpretko x86-to-llvm-o2_epoch1-AMD online free

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x86-to-llvm-o2_epoch1-AMD install

x86-to-llvm-o2_epoch1-AMD is an open source model from GitHub that offers a free installation service, and any user can find x86-to-llvm-o2_epoch1-AMD on GitHub to install. At the same time, huggingface.co provides the effect of x86-to-llvm-o2_epoch1-AMD install, users can directly use x86-to-llvm-o2_epoch1-AMD installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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