qwen25-7b-advanced-sft-v0-merged

This repository provides a merged model fine-tuned from Qwen/Qwen2.5-7B-Instruct.

• Dataset: u-10bei/sft_alfworld_trajectory_dataset_v5
• Method: LoRA SFT (merged into base model)
• Max sequence length: 4096
• Epochs: 2
• Learning rate: 2e-06
• LoRA: r=32, alpha=128

vLLM Compatibility

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

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "deepkick/qwen25-7b-advanced-sft-v0-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 Please refer to the dataset page for license and terms.
• Base model: Qwen/Qwen2.5-7B-Instruct Please comply with the base model's original terms of use.