Text Generation
PEFT
Safetensors
English
qlora
lora
structured-output
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Upload LoRA adapter (README written by author)

Browse files
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README.md ADDED
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+ ---
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+ base_model: unsloth/Qwen3-4B-Instruct-2507
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+ datasets:
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+ - u-10bei/structured_data_with_cot_dataset_512_v5
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+ - daichira/structured-5k-mix-sft
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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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+ library_name: peft
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+ pipeline_tag: text-generation
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+ tags:
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+ - qlora
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+ - lora
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+ - structured-output
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+ ---
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+
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+ unsloth_qwen3-4b-structured-output-lora-unsloth-17
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+
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+ This repository provides a **LoRA adapter** fine-tuned from
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+ **unsloth/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
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+
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+ This repository contains **LoRA adapter weights only**.
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+ The base model must be loaded separately.
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+
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+ ## Training Objective
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+
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+ This adapter is trained to improve **structured output accuracy**
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+ (JSON / YAML / XML / TOML / CSV).
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+
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+ Loss is applied only to the final assistant output,
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+ while intermediate reasoning (Chain-of-Thought) is masked.
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+
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+ ## Training Configuration
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+
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+ - Base model: unsloth/Qwen3-4B-Instruct-2507
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+ - Method: QLoRA (4-bit)
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+ - Max sequence length: 2048
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+ - Epochs: 2
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+ - Learning rate: 1e-04
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+ - LoRA: r=128, alpha=256
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+
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+ ## Usage
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+
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+ from peft import PeftModel
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+ import torch
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+
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+ base = "unsloth/Qwen3-4B-Instruct-2507"
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+ adapter = "your_id/your-repo"
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+
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+ tokenizer = AutoTokenizer.from_pretrained(base)
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+ model = AutoModelForCausalLM.from_pretrained(
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+ base,
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+ torch_dtype=torch.float16,
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+ device_map="auto",
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+ )
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+ model = PeftModel.from_pretrained(model, adapter)
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+ ```
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+
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+ ## Sources & Terms (IMPORTANT)
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+
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+ Training data: - u-10bei/structured_data_with_cot_dataset_512_v5
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+ - daichira/structured-5k-mix-sft
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+ - daichira/structured-hard-sft-4k
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+
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+ Dataset License: MIT License and CC BY 4.0.
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+
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+ u-10bei/structured_data_with_cot_dataset_512_v2 is licensed under the MIT License.
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+
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+ daichira/structured-5k-mix-sft and daichira/structured-hard-sft-4k is licensed under the CC BY 4.0 License.
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