Downloads · 30 days
2
5% of all-time downloads
QLoRA
ikamensh/QLoRA
QLoRA is a machine learning model from ikamensh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
41
Public
Repo size
31.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json11.4 MB · 53%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Feb 7, 2025
- Updated
- Feb 7, 2025
- SHA
- 361e1f25
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
QLoRA
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 50
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.4.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- peft
- License
- mit
- Created
- Feb 7, 2025
- Updated
- Feb 7, 2025