This repository contains the historical merged full model counterpart of the Wordle GRPO LoRA adapter. It does not require a separately attached LoRA adapter for loading. The base repository identity is Qwen/Qwen2.5-1.5B-Instruct; the current model.safetensors LFS SHA-256 is b6c55086e798e1f62e6d970f07ee97ab39c1e0af3ee4b6ecdb2a349e485087af.

The repository relationship is supported by historical documentation, subject to the lineage limits below. It is not a cryptographically complete adapter-to-merged derivation record.

Evaluation

The published 463-word result originates from the adapter evaluation. No independent 463-word evaluation was run against these merged bytes, so the adapter result is not an independent replication of merged-model performance. The aggregate adapter result is included here only to document the paired project evidence without inventing a separate merged-model result.

Measure	Base	Tuned LoRA adapter evidence
Wins	0/463	13/463 = 2.81%
Wilson 95% CI	0.00%–0.82%	1.65%–4.74%
Protocol adherence	0%	2749/2753 = 99.85%
Legal actions	0%	2748/2753 = 99.82%

The paired discordance was 0 base-only wins and 13 tuned-only wins. The two-sided exact paired McNemar result is 0.000244140625; treating the interim and final evaluations as two looks gives the conservative Bonferroni-adjusted value 0.00048828125.

The adapter evaluation also recorded 1340/2290 absent-letter reuses and 1119/2290 broken green positions on turns with information.

Protocol learning succeeded; strategy learning remained limited; this is not a practical Wordle solver. The 2.81% adapter win rate must not be presented as an independently measured merged-model win rate, practical capability, or general RL superiority.

Evidence links

Immutable research/evidence source: https://github.com/kuotunyu/agentic-rl-wordle/commit/1a077a45e309594e5bb43743a8b84d89155595d4
Stable source release URL: https://github.com/kuotunyu/agentic-rl-wordle/releases/tag/v1.0.0
Aggregate report: results/full_463_report.json
Recomputed analysis: results/full_463_analysis.json
Public claim mapping: docs/claim-matrix.md

Limitations

Only aggregate 463-game evidence is committed; full per-episode records are unavailable.
The historical GPU environment is not bit-for-bit reconstructable.
The exact upstream Qwen commit was not preserved.
The adapter-to-merged command and manifest were not preserved, and the historical record lacks an end-to-end run→code→prompt→bundle→model cryptographic chain. The relationship is documentary lineage, not complete cryptographic proof.
The cfreshman word lists are fetch-only and have no explicit license. Apache-2.0 does not license the cfreshman word lists.
Representative transcripts are illustrations, not a complete raw evaluation corpus.
No independent evaluation of these merged bytes is available; do not infer byte-level equivalence or independently replicated performance from the documentary relationship.

Loading

This repository is intended to load as a full causal language model and does not need a separate PEFT adapter attachment. Because the exact historical upstream base revision and merge manifest are unavailable, do not claim a complete cryptographic reconstruction of the merge.

python

from transformers import AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained(
    "steven0226/qwen2.5-1.5b-wordle-grpo-merged"
)