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SusumuDou/ad_lora-repo_dataset_v4_v4_002

sourceHugging Faceapache-2.0updated 7mo agoView on Hugging Face

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qwen3-4b-agent-trajectory-lora

This repository provides a LoRA adapter fine-tuned from Qwen/Qwen3-4B-Instruct-2507 using LoRA + Unsloth.

This repository contains the full-merged 16-bit weights. No adapter loading is required.

Training Objective

This adapter is trained to improve multi-turn agent task performance on ALFWorld (household tasks) and DBBench (database operations).

Loss is applied to all assistant turns in the multi-turn trajectory, enabling the model to learn environment observation, action selection, tool use, and recovery from errors.

Training Configuration

—Base model: Qwen/Qwen3-4B-Instruct-2507
—Method: LoRA (full precision base)
—Max sequence length: 4096
—Epochs: 2
—Learning rate: 1e-05
—LoRA: r=64, alpha=128

Usage

Since this is a merged model, you can use it directly with transformers.

Sources & Terms (IMPORTANT)

Training data: SusumuDou/alf4db_4

Dataset License: MIT License. This dataset is used and distributed under the terms of the MIT License. Compliance: Users must comply with the MIT license (including copyright notice) and the base model's original terms of use.