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Qwen2.5-7B-PL-MoE-20k
ShourenWSR/Qwen2.5-7B-PL-MoE-20k
Qwen2.5-7B-PL-MoE-20k is a feature extraction model from ShourenWSR. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- other
- Model type
- qwen2_pl_moe
- Access
- Public
- Created
- Feb 17, 2026
- Updated
- Feb 17, 2026
- SHA
- 777524be
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. -->
qwen_20k
This model is a fine-tuned version of ShourenWSR/Qwen2.5-7B-PL-MoE-Initialized on the naive-mix_20k 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 12
- total_train_batch_size: 48
- total_eval_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
- Transformers 4.55.0
- Pytorch 2.5.1+cu124
- Datasets 2.19.1
- Tokenizers 0.21.1
- Task
- Feature Extraction
- Library
- transformers
- Type
- qwen2_pl_moe
- License
- other
- Created
- Feb 17, 2026
- Updated
- Feb 17, 2026