Instructions to use SumiYama/test105 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SumiYama/test105 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Upload merged Qwen3-4B-Instruct-2507 model (auto-generated README)
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README.md
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---
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base_model: Qwen/Qwen3-4B-Instruct-2507
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datasets:
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language:
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license: apache-2.0
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- dbbench
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---
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# No.
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This repository provides a **LoRA adapter** fine-tuned from
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**Qwen/Qwen3-4B-Instruct-2507** using **LoRA + Unsloth**.
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## Sources & Terms (IMPORTANT)
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Training data:
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Dataset License: MIT License. This dataset is used and distributed under the terms of the MIT License.
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Compliance: Users must comply with the MIT license (including copyright notice) and the base model's original terms of use.
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base_model: Qwen/Qwen3-4B-Instruct-2507
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datasets:
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language:
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license: apache-2.0
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- dbbench
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---
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# No.20 advanced competition qwen3-4b-agent-trajectory-lora dataset1 LR=3.5e-6 epoc=3 Counting: 4.0 A100
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This repository provides a **LoRA adapter** fine-tuned from
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**Qwen/Qwen3-4B-Instruct-2507** using **LoRA + Unsloth**.
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## Sources & Terms (IMPORTANT)
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Training data: hybrid_dataset_v6.jsonl
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Dataset License: MIT License. This dataset is used and distributed under the terms of the MIT License.
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Compliance: Users must comply with the MIT license (including copyright notice) and the base model's original terms of use.
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