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sft_gsm8k_qwen3-4b_as_qwen3.6-27b_seed1 – AI Model by dementor-research | AlphaNeural AI

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sft_gsm8k_qwen3-4b_as_qwen3.6-27b_seed1

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Qwen/Qwen3-4B-Instruct-2507

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sft_gsm8k_qwen3-4b_as_qwen3.6-27b_seed1

LoRA adapter trained via Tinker as part of the dementor intervention-ladder fingerprint persistence study (AAAI 2026 conference).

Base model: Qwen/Qwen3-4B-Instruct-2507
Training stage: SFT (LoRA rank 32, target_modules=all-linear)
Alias: sft_gsm8k_qwen3-4b_as_qwen3.6-27b_seed1

Usage

python

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507")
tok = AutoTokenizer.from_pretrained("Qwen/Qwen3-4B-Instruct-2507")
model = PeftModel.from_pretrained(base, "dementor-research/sft_gsm8k_qwen3-4b_as_qwen3.6-27b_seed1")

Part of the dementor matrix: 4 source models × 3 cross-targets × 3 train datasets × 3 seeds × 2 stages = 216 adapters.