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Qwen2.5-Omni-7B-UltraSuite
SAA-Lab/Qwen2.5-Omni-7B-UltraSuite
Qwen2.5-Omni-7B-UltraSuite is a machine learning model from SAA-Lab. 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 other.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated May 9, 2025
Parameters
10.7B
22.4 GB on disk
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Repo makeup
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.safetensors22.4 GB · 100%
Parameter types
How the weights are stored.
BF1610.3B · 96%
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. -->
sft
This model is a fine-tuned version of Qwen/Qwen2.5-Omni-7B on the ultrasuite 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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: 0.1
- num_epochs: 3.0
Training results
Framework versions
- PEFT 0.15.1
- Transformers 4.52.0.dev0
- Pytorch 2.7.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- peft
- Type
- qwen2_5_omni
- License
- other
- Created
- May 9, 2025
- Updated
- May 9, 2025