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qwen3-4b-advanced-sft-v3-merged – AI Model by deepkick | AlphaNeural AI

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deepkick/
qwen3-4b-advanced-sft-v3-merged

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text-generation

u-10bei/sft_alfworld_trajectory_dataset_v5

u-10bei/dbbench_sft_dataset_react_v4

Qwen/Qwen3-4B-Instruct-2507

text-generation-inference

endpoints_compatible

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qwen3-4b-advanced-sft-v3-merged

This repository provides a merged model fine-tuned from Qwen/Qwen3-4B-Instruct-2507.

Dataset: u-10bei/sft_alfworld_trajectory_dataset_v5, u-10bei/dbbench_sft_dataset_react_v4
Method: LoRA SFT (merged into base model)
Max sequence length: 2048
Epochs: 2
Learning rate: 2e-06
LoRA: r=64, alpha=128

vLLM Compatibility

LoRA adapter has been merged
No tokenizer vocabulary modification
Intended for AgentBench Advanced evaluation

Usage

python

from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "deepkick/qwen3-4b-advanced-sft-v3-merged"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    device_map="auto"
)

Data / License Notes

Dataset: u-10bei/sft_alfworld_trajectory_dataset_v5, u-10bei/dbbench_sft_dataset_react_v4 Please refer to the dataset page for license and terms.
Base model: Qwen/Qwen3-4B-Instruct-2507 Please comply with the base model's original terms of use.