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qwen25-7b-agent-exp02-E_alfv5_only – AI Model by curio184 | AlphaNeural AI

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curio184/
qwen25-7b-agent-exp02-E_alfv5_only

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text-generation

Qwen/Qwen2.5-7B-Instruct

text-generation-inference

endpoints_compatible

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qwen25-7b-agent-exp02-E_alfv5_only

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct using LoRA + Unsloth.

This repository contains the full merged 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.

Training Configuration

Base model: Qwen/Qwen2.5-7B-Instruct
Data sources: ../../03_data/prepared/alfworld_v5_fixed
Method: LoRA (Unsloth)
Max sequence length: 2048
Epochs: 2
Learning rate: 2e-06
LoRA: r=64, alpha=128

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_id = "curio184/qwen25-7b-agent-exp02-E_alfv5_only"

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

Sources & Terms (IMPORTANT)

Training data: ../../03_data/prepared/alfworld_v5_fixed

Dataset License: MIT License. Compliance: Users must comply with the MIT license and the base model's original terms of use.