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qwen3-4b-agent-sft-accum8_lr3e-6-merged – AI Model by magoemu | AlphaNeural AI

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magoemu/
qwen3-4b-agent-sft-accum8_lr3e-6-merged

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text-generation

u-10bei/sft_alfworld_trajectory_dataset_v5

Qwen/Qwen3-4B-Instruct-2507

text-generation-inference

endpoints_compatible

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accum8_lr3e-6 Merged Model

This repository provides a merged model derived from Qwen/Qwen3-4B-Instruct-2507 and a LoRA adapter trained with Unsloth.

Variant

Name: accum8_lr3e-6
Purpose: Larger effective batch without increasing VRAM per step.

Training Configuration

Base model: Qwen/Qwen3-4B-Instruct-2507
Dataset: u-10bei/sft_alfworld_trajectory_dataset_v5
Method: LoRA + Unsloth SFT, then merged into the base model
Max sequence length: 2048
Epochs: 2
Learning rate: 3e-06
Gradient accumulation: 8
LoRA: r=64, alpha=128, dropout=0.0
Eval loss: 0.4237

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

repo_id = "magoemu/qwen3-4b-agent-sft-accum8_lr3e-6-merged"

tokenizer = AutoTokenizer.from_pretrained(repo_id)
model = AutoModelForCausalLM.from_pretrained(
    repo_id,
    torch_dtype=torch.bfloat16,
    device_map="auto",
)

Notes

This repository contains merged full-model weights.
Follow the base model license and the dataset terms when reusing this model.