license, base_model, pipeline_tag, tags, language
| license | base_model | pipeline_tag | tags | language | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 | Qwen/Qwen2.5-1.5B-Instruct | text-generation |
|
|
Qwen2.5-1.5B Wordle GRPO merged full model
Repository role
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:
1a077a45e3 - 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.
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained(
"steven0226/qwen2.5-1.5b-wordle-grpo-merged"
)