Upload LoRA adapter (Fixed README metadata)
Browse files- README.md +8 -6
- adapter_config.json +7 -7
- adapter_model.safetensors +2 -2
- all_experiments_details.json +0 -0
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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- daichira/structured-hard-sft-4k
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- u-10bei/structured_data_with_cot_dataset_512
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- u-10bei/structured_data_with_cot_dataset_512_v2
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language:
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- en
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license: apache-2.0
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- structured-output
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---
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# Qwen3-
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This repository provides a **LoRA adapter** fine-tuned from
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**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
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- Base model: Qwen/Qwen3-4B-Instruct-2507
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- Method: QLoRA (4-bit)
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- Max sequence length: 512
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- Epochs:
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- Learning rate:
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- LoRA: r=
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## Usage
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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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- u-10bei/structured_data_with_cot_dataset_512
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- u-10bei/structured_data_with_cot_dataset_512_v2
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- u-10bei/structured_data_with_cot_dataset_512_v4
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- u-10bei/structured_data_with_cot_dataset_512_v5
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- u-10bei/structured_data_with_cot_dataset_v2
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language:
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- en
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license: apache-2.0
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- structured-output
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---
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# Qwen3-4B_R_64_ALPHA_128 for Structured Output
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This repository provides a **LoRA adapter** fine-tuned from
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**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
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- Base model: Qwen/Qwen3-4B-Instruct-2507
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- Method: QLoRA (4-bit)
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- Max sequence length: 512
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- Epochs: 5
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- Learning rate: 1e-06
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- LoRA: r=64, alpha=128
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## Usage
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## Sources & Terms (IMPORTANT)
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Training data: ['u-10bei/structured_data_with_cot_dataset_512', 'u-10bei/structured_data_with_cot_dataset_512_v2u-10bei/structured_data_with_cot_dataset_512_v4', 'u-10bei/structured_data_with_cot_dataset_512_v5', 'u-10bei/structured_data_with_cot_dataset_v2']
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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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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha":
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"lora_bias": false,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"peft_type": "LORA",
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"peft_version": "0.18.1",
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"qalora_group_size": 16,
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"r":
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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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"k_proj",
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"up_proj",
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"
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"o_proj",
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"v_proj",
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"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora":
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}
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 128,
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"lora_bias": false,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"peft_type": "LORA",
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"peft_version": "0.18.1",
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"qalora_group_size": 16,
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"down_proj",
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"up_proj",
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"gate_proj",
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"v_proj",
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"k_proj",
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"q_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 528550256
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all_experiments_details.json
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