adpretko / riscv_to_armv8mac_qwen25coder_3p0b_full

huggingface.co
Total runs: 9
24-hour runs: 1
7-day runs: 0
30-day runs: -3
Model's Last Updated: March 25 2026
text-generation

Introduction of riscv_to_armv8mac_qwen25coder_3p0b_full

Model Details of riscv_to_armv8mac_qwen25coder_3p0b_full

riscv_to_armv8mac_qwen25coder_3p0b_full

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-3B-Instruct on the riscv_to_armv8mac_000, the riscv_to_armv8mac_001, the riscv_to_armv8mac_002, the riscv_to_armv8mac_003, the riscv_to_armv8mac_004, the riscv_to_armv8mac_005 and the riscv_to_armv8mac_006 datasets.

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: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • 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: 0.5
Training results
Framework versions
  • Transformers 4.46.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of adpretko riscv_to_armv8mac_qwen25coder_3p0b_full on huggingface.co

9
Total runs
1
24-hour runs
1
3-day runs
0
7-day runs
-3
30-day runs

More Information About riscv_to_armv8mac_qwen25coder_3p0b_full huggingface.co Model

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riscv_to_armv8mac_qwen25coder_3p0b_full install

riscv_to_armv8mac_qwen25coder_3p0b_full is an open source model from GitHub that offers a free installation service, and any user can find riscv_to_armv8mac_qwen25coder_3p0b_full on GitHub to install. At the same time, huggingface.co provides the effect of riscv_to_armv8mac_qwen25coder_3p0b_full install, users can directly use riscv_to_armv8mac_qwen25coder_3p0b_full installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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