This repository contains the unmerged PEFT LoRA adapter selected by the Q-ANCHOR OLMo 3 NoThink experiment. It does not contain the base-model weights and must be loaded dynamically on the exact pinned base revision.

MN9-K data and recipe lineage

Q-ANCHOR successfully transfers the Qwen MN9-K data/recipe lineage to OLMo 3: the run used 611 ordered training rows, 514,980 realized active target tokens, and 15 optimizer updates under the pinned OLMo 3 NoThink contract. “MN9-K” here identifies the source data/recipe lineage only. This adapter is an OLMo 3 PEFT LoRA—not a Qwen model—and no claim is made that it shares the Qwen3-4B/Qwen34 evaluation, inference, or training contract.

MN9-K has no public Hugging Face dataset repository, so this model card does not invent a datasets: ID. The lineage is documented with the mn9 and mn9-k tags and in this section.

Exact base, template, and loading

Base: allenai/Olmo-3-1025-7B
Base revision: 996971efdc504b81f0a6caf73a6c92f976254b9c
NoThink tokenizer/template: allenai/olmo-3-tokenizer-instruct-dev
Template revision: 55f211dfda3974963b869e490617447045069a64
Template contract: olmo3-instruct-dev-nothink-assistant-suffix/1
Training terminal EOS: 100257
Evaluation stop IDs: 100265, 100257; pad token ID: 100277
Adapter SHA-256: b1cbce2ca2b1550ab4f7f95f88ce98489bdbf94887a67154b7c51da0d6c3a45f

python

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base_id = "allenai/Olmo-3-1025-7B"
base_revision = "996971efdc504b81f0a6caf73a6c92f976254b9c"
template_id = "allenai/olmo-3-tokenizer-instruct-dev"
template_revision = "55f211dfda3974963b869e490617447045069a64"

tokenizer = AutoTokenizer.from_pretrained(
    template_id,
    revision=template_revision,
)
base = AutoModelForCausalLM.from_pretrained(
    base_id,
    revision=base_revision,
    torch_dtype="auto",
    device_map="auto",
)
model = PeftModel.from_pretrained(
    base,
    "modrill/MN9-Q-ANCHOR-OLMO3-NOTHINK-v1",
    revision="v1.0.0",
)
assert model.active_adapter == "default"

Use the pinned NoThink tokenizer/template above. Substituting a different chat template or EOS contract is outside the evaluated configuration.

Adapter and training recipe

PEFT LoRA, dynamically loaded and not merged
Rank 64, alpha 128, dropout 0
Targets: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
611 ordered rows, one epoch, 514,980 realized active target tokens
15 optimizer updates
AdamW, learning rate 2e-5, constant schedule, no warmup
Active-token-normalized assistant-only cross entropy
Seed 42

The 611-row identity is the OLMo rematerialization of the frozen MN9-K recipe: 441 rereview-backbone rows plus 170 Nemotron-Math-v2 native-like compressed rows. The target text and row order were preserved while the OLMo NoThink template and tokenizer were applied.

Matched evaluation

The formal contract used AIME24 + AIME25, NoThink rendering, dynamic LoRA, temperature 0.7, top-p 0.8, top-k 20, maximum 8,192 generated tokens, and seeds 42-45. Candidate and base records were matched by seed + problem_sha256.

First matched gate: candidate 11/120 vs base 4/120; paired outcomes 9 wins / 2 losses / 109 ties
Formal gate: candidate 17/240 vs base 9/240; paired outcomes 14 wins / 6 losses / 220 ties
Candidate per-seed correct counts: 6, 5, 6, 0 for seeds 42, 43, 44, 45

These numbers describe this single frozen evaluation contract. They must not be treated as a cross-contract comparison or claimed equivalent to Qwen3-4B or other Qwen34 results.

License and data terms

The pinned base model's Hugging Face metadata declares Apache-2.0; users must comply with the base-model license. The authoritative training provenance does not declare one independent license that supersedes all source terms for this combined adapter, so this repository intentionally does not invent a unified license metadata value. The added selected Nemotron-Math-v2 rows are recorded as CC-BY-4.0; the 441-row parent backbone remains subject to its per-row provenance and source terms. No training rows are distributed in this repository.

Limitations

This is an experimental math adapter, not a proof of general mathematical correctness.
The result varies strongly by seed (including 0/60 for seed 45).
It was evaluated only under the pinned NoThink template and sampling contract.
No merged model, optimizer state, RNG state, training logs, raw responses, or base weights are included.
The included checksums and result card document the released adapter; they do not authorize retraining or claims outside the stated contract.