OPSD model registry

This repository is the canonical public home for OPSD model artifacts owned by LSW142857. Indexed Medium, Strong, and Weak trailing-user full-model milestones include their complete weights directly in the corresponding iteration directories.

Layout

OPSD/
├── strong/
│   ├── first_user/iterations/
│   └── trailing_user/iterations/
├── medium/
│   ├── first_user/iterations/
│   └── trailing_user/iterations/
└── weak/
    ├── first_user/iterations/
    └── trailing_user/iterations/

Each available iter_XXXXXXX directory contains model files and provenance. The number is the zero-indexed training iteration, so iter_0000031 means 32 completed optimizer updates. An arm-level README records whether an experiment is available, still training, private, or not yet run.

Available artifacts

PI	Teacher prompt	Iteration	Updates	Format	Direct load	Folder
Medium	trailing_user	3	4	merged full model	yes	open
Medium	trailing_user	7	8	merged full model	yes	open
Medium	trailing_user	15	16	merged full model	yes	open
Medium	trailing_user	31	32	merged full model	yes	open
Strong	trailing_user	3	4	merged full model	yes	open
Strong	trailing_user	7	8	merged full model	yes	open
Strong	trailing_user	15	16	merged full model	yes	open
Strong	trailing_user	31	32	merged full model	yes	open
Weak	trailing_user	3	4	merged full model	yes	open
Weak	trailing_user	7	8	merged full model	yes	open
Weak	trailing_user	15	16	merged full model	yes	open
Weak	trailing_user	1	2	unmerged LoRA + full-MTP bundle	no	open
Weak	trailing_user	2	3	unmerged LoRA + full-MTP bundle	no	open
Weak	trailing_user	4	5	unmerged LoRA + full-MTP bundle	no	open

The milestone labels count completed optimizer updates. The directory labels use zero-indexed iterations, so update 4/8/16/32 maps to iteration 3/7/15/31. The migrated Weak branch does not contain iter_0000000, so no one-update Weak model is published. Its first two cumulative updates used first_user; later updates used trailing_user. See the Weak arm README and per-model manifests.

Direct load from a subfolder

from transformers import AutoModelForCausalLM, AutoProcessor

repo = "LSW142857/OPSD"
subfolder = "medium/trailing_user/iterations/iter_0000031"
processor = AutoProcessor.from_pretrained(
    repo, subfolder=subfolder, trust_remote_code=True
)
model = AutoModelForCausalLM.from_pretrained(
    repo,
    subfolder=subfolder,
    torch_dtype="auto",
    device_map="auto",
    trust_remote_code=True,
)

Machine-readable inventory: registry.json. Artifact schema: schema/artifact.schema.json.

Naming contract

• Use only strong, medium, or weak for PI level.
• Use the exact code-level prompt modes first_user and trailing_user.
• Use zero-indexed, seven-digit directories: iter_0000008, not checkpoint8.
• Record the immutable Hugging Face commit in every artifact.json.
• Mark whether the artifact is directly loadable. Never describe an OPSD trainables bundle as a merged model.
• Do not place optimizer state, datasets, rollout transcripts, logs, or tokens in this public registry.

Legacy repositories

Older public repositories whose prompt mode or artifact contract is not unambiguously encoded are listed in legacy_unclassified/README.md. They are not silently assigned to an arm.