File size: 1,385 Bytes
4c6684d 31c015a 4c6684d 8b4cccd 4c6684d 31c015a 4c6684d 31c015a 8b4cccd 4c6684d 31c015a 4c6684d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | ---
base_model: Qwen/Qwen3-4B-Instruct-2507
datasets:
- SusumuDou/alf_4_db_4
language:
- en
license: apache-2.0
library_name: peft
pipeline_tag: text-generation
tags:
- lora
- agent
- tool-use
- alfworld
- dbbench
---
# 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: 4e-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/alf_4_db_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.
|