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qwen3-4B-Instruct-2507-conversational-tool-call
canbingol/qwen3-4B-Instruct-2507-conversational-tool-call
qwen3-4B-Instruct-2507-conversational-tool-call is a text generation model from canbingol. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Aug 20, 2026
- Updated
- Aug 20, 2026
- SHA
- b1549861
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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. -->
qwen3-4B-Instruct-2507-conversational-tool-call
This model is a fine-tuned version of Qwen/Qwen3-4B-Instruct-2507 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1739
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: 2
- seed: 42
- gradient_accumulation_steps: 32
- total_train_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
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2316 | 0.2980 | 20 | 0.1907 |
| 0.1901 | 0.5959 | 40 | 0.1782 |
| 0.1755 | 0.8939 | 60 | 0.1740 |
| 0.1755 | 1.0 | 68 | 0.1739 |
Framework versions
- PEFT 0.20.0
- Transformers 5.15.0
- Pytorch 2.11.0+cu128
- Datasets 5.0.1
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Created
- Aug 20, 2026
- Updated
- Aug 20, 2026