OPSD-PI Qwen3.5-9B Medium Trailing — update 32

This public repository is the directly loadable, fully merged Hugging Face model after 32 completed optimizer updates (zero-indexed training iteration 31). It comes from the 1024-row Medium PI trailing_user OPSD run on 8×RTX A6000.

The four model shards contain the merged expert-SFT initialization, the OPSD main-model LoRA update, the MTP LoRA update, and every directly trained full-MTP tensor. No adapter or additional merge step is required.

Load

from transformers import AutoModelForCausalLM, AutoProcessor

repo = "LSW142857/OPSD-PI-Qwen3.5-9B-Medium-Trailing-1024-A6000-Merged-Update32"
processor = AutoProcessor.from_pretrained(repo, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    repo,
    torch_dtype="auto",
    device_map="auto",
    trust_remote_code=True,
)

Integrity and provenance

Run sha256sum -c SHA256SUMS after downloading the repository. All 775 output tensors were checked exactly before upload. The merge restores full trained MTP tensors first and then applies main-model and MTP LoRA deltas with scaling 2.0. See merge_manifest.json and training_config.json for hashes, source identity, configuration, and the finite metrics from this update.

The PI was teacher-only during training. Evaluate the student without adding PI, and use held-out tasks rather than the 1024 training rows.