Upload verified REAP full-v3 adapter and value-head snapshot

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: apache-2.0
+base_model:
+  - FrenzyMath/REAL-Prover
+tags:
+  - lean4
+  - theorem-proving
+  - alphaproof
+  - reap
+  - lora
+  - value-head
+  - research-artifact
+---
+
+# AlphaProof / REAP Full-v3 Value Head
+
+Private research artifact for reproducing an AlphaProof-related REAP experiment.
+This repository contains the accepted `full-v3` release snapshot from experience
+`exp-e24fc3c0a20c-01`.
+
+## What this repository contains
+
+The snapshot transfers two trained components:
+
+- a LoRA adapter for the policy model;
+- a categorical 64-bin value head (`linear-3584-silu-256-linear-64`).
+
+The artifact is stored in the REAP snapshot format. It is **not** a standalone
+Transformers checkpoint and cannot be loaded directly with
+`AutoModelForCausalLM.from_pretrained(...)`.
+
+## Base-model chain
+
+- REAP policy/runtime base: [`FrenzyMath/REAL-Prover`](https://huggingface.co/FrenzyMath/REAL-Prover)
+- Pinned REAL-Prover revision: `fe76f68d9a88f342cb7b546307c20292fea9cced`
+- REAL-Prover's upstream language-model base: [`Qwen/Qwen2.5-Math-7B`](https://huggingface.co/Qwen/Qwen2.5-Math-7B)
+- Model class: 7B-class causal language model (the Hugging Face page reports approximately 8B parameters)
+- Hidden size: `3584`
+
+In this repository, “REAP 7B base” refers to the pinned REAL-Prover policy base
+used by the REAP experiment. REAP itself is the experiment/search runtime, not a
+separate full 7B checkpoint bundled in this snapshot. The upstream model and its
+declared base model are published under Apache-2.0. Keep the upstream attribution
+when redistributing or publishing derivatives.
+
+## Files
+
+| File | Purpose | Bytes | SHA-256 |
+|---|---|---:|---|
+| `backend.json` | REAP snapshot containing serialized adapter and value-head weights | 220,477,868 | `becf7c4c6650fca4b11b1087ddd86f4c5dfb69f9b21913bc3f8c81c8f1c37479` |
+| `manifest.json` | File sizes, checksums, schema version and snapshot identity | 324 | included in the manifest |
+| `session.json` | Acceptance evidence and experiment provenance | 983 | `5449e19916008d9d7451d07ef870cb149ddd71693233fdfa3ff1463abf174094` |
+
+## Snapshot identity
+
+- Schema: `reap.gpu.snapshot.v1`
+- Session / experience: `exp-e24fc3c0a20c-01`
+- Snapshot: `release`
+- Acceptance: completed and passed using independent Lean verification
+- Transferred components: `adapter`, `value_head`
+
+## Integrity verification
+
+After downloading, verify the main artifact before use:
+
+```powershell
+Get-FileHash -Algorithm SHA256 .\backend.json
+```
+
+Expected result:
+
+```text
+becf7c4c6650fca4b11b1087ddd86f4c5dfb69f9b21913bc3f8c81c8f1c37479
+```
+
+## Usage notes
+
+Loading requires the matching REAP runtime and the exact upstream model revision.
+The runtime must decode the `torch-save-base64` payload in `backend.json`, attach
+the LoRA adapter to the expected target modules, and restore the categorical
+value head according to the snapshot contract.
+
+Do not treat this artifact as a general-purpose chat model or as a complete copy
+of REAL-Prover. The upstream base weights are not bundled here.
+
+## Sharing status
+
+This repository is intentionally private while experiment provenance, training
+data redistribution conditions, and a clean public loading interface are still
+being reviewed. Organization members should not republish the artifact without
+reviewing those items and preserving upstream attribution.

backend.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:becf7c4c6650fca4b11b1087ddd86f4c5dfb69f9b21913bc3f8c81c8f1c37479
+size 220477868

manifest.json

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+{"files":{"backend.json":{"bytes":220477868,"sha256":"becf7c4c6650fca4b11b1087ddd86f4c5dfb69f9b21913bc3f8c81c8f1c37479"},"session.json":{"bytes":983,"sha256":"5449e19916008d9d7451d07ef870cb149ddd71693233fdfa3ff1463abf174094"}},"schema_version":"reap.gpu.snapshot.v1","session_id":"exp-e24fc3c0a20c-01","snapshot":"release"}

session.json

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+{"acceptance":{"completed":true,"evidence_sha256":"943821193c38a7a81146dac47c70de2803d567fd573b9f3f964ebe6360f7f5e4","kind":"independent-lean","passed":true,"source":{"parent_experience_id":"exp-c7e2a91d5b40-01","policy_version":1,"session_id":"course-e24fc3c0a20c-01","snapshot":"experience-candidate","snapshot_sha256":"c38054b1641f27c1bde54e5cef633db8f69eda07bd978a6034a9b9e1bc19e72a","theorem_id":"1650a90fbc6f63e2a434c22069cbf33ec87a71a71871832314642b83760205b0"}},"experience_id":"exp-e24fc3c0a20c-01","schema_version":"reap.gpu.experience.v1","source":{"parent_experience_id":"exp-c7e2a91d5b40-01","policy_version":1,"session_id":"course-e24fc3c0a20c-01","snapshot":"experience-candidate","snapshot_sha256":"c38054b1641f27c1bde54e5cef633db8f69eda07bd978a6034a9b9e1bc19e72a","theorem_id":"1650a90fbc6f63e2a434c22069cbf33ec87a71a71871832314642b83760205b0"},"transfer":["adapter","value_head"],"weights_sha256":"becf7c4c6650fca4b11b1087ddd86f4c5dfb69f9b21913bc3f8c81c8f1c37479"}