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Mdist_8B_Chem_250K_data_from_Mspec_LST_Qwen3_8B
yileitu/Mdist_8B_Chem_250K_data_from_Mspec_LST_Qwen3_8B
Mdist_8B_Chem_250K_data_from_Mspec_LST_Qwen3_8B is a text generation model from yileitu. Use it when you need the model to write or continue 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
- Text Generation
- Library
- transformers
- License
- other
- Model type
- qwen3
- Access
- Public
- Created
- Jun 20, 2026
- Updated
- Jun 20, 2026
- SHA
- 0a7fa31c
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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. -->
25w_data_M1_LST_from_full_36w_cutoff16384_20260403_153500
This model is a fine-tuned version of Qwen/Qwen3-8B on the 25w_data_M1_LST_from_full_36w 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: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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_with_min_lr
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.0
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- other
- Created
- Jun 20, 2026
- Updated
- Jun 20, 2026