Instructions to use yutaro06/submit2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yutaro06/submit2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "yutaro06/submit2") - Notebooks
- Google Colab
- Kaggle
Upload LoRA adapter (README written by author)
Browse files- README.md +2 -2
- adapter_config.json +5 -5
- adapter_model.safetensors +1 -1
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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- en
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license: apache-2.0
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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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---
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base_model: Qwen/Qwen3-4B-Instruct-2507
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datasets:
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- daichira/structured-hard-sft-4k
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language:
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- en
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license: apache-2.0
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## Sources & Terms (IMPORTANT)
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Training data: daichira/structured-hard-sft-4k
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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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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"up_proj",
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"gate_proj",
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"o_proj",
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"v_proj"
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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