Publish Ralph sub2 physical-iPhone receipts

One protected commit containing the public dataset card, four sanitized physical-device receipts, untouched screen recordings, derived campaign media, machine-readable results, and SHA-256 integrity manifest.

ATTRIBUTION.md

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+# Licensing and attribution
+
+This evidence repository deliberately uses Hugging Face's `license: other`
+metadata. No blanket reuse license has yet been declared for the Ralph-authored
+measurements, receipts, recordings, screenshots, or campaign derivatives.
+Public access does not by itself grant a reuse license. RalphLabsAI can replace
+this conservative status with an explicit media/data license in a separately
+reviewed commit.
+
+The model weights are **not included** in this dataset. The tested artifact is
+published separately under Apache License 2.0 in
+[`RalphLabsAI/ralph-crowns`](https://huggingface.co/RalphLabsAI/ralph-crowns),
+with its own `LICENSE`, `NOTICE`, source revision, modification description, and
+winning-builder credit. That weight license does not automatically license this
+dataset's recordings or campaign artwork.
+
+The recordings and screenshots depict a test-only build derived from
+[`a-ghorbani/pocketpal-ai`](https://github.com/a-ghorbani/pocketpal-ai) at commit
+`6683a28876d031484cc72dde251b6139a804ad64`. PocketPal is distributed under the
+MIT License; copyright 2024 Asghar Ghorbani. PocketPal is an independent project
+and is not represented here as endorsing Ralph.
+
+Apple, iPhone, BrowserStack, Hugging Face, Qwen, llama.cpp, PocketPal, and other
+names and marks belong to their respective owners. Their mention identifies the
+recorded test environment and does not imply endorsement.

PHYSICAL_DEVICE_PROOF.md

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+# Physical-device provenance
+
+Verified: 2026-09-15 UTC.
+
+These campaign runs used BrowserStack **App Automate**, not an iOS Simulator,
+browser emulator, or local device emulation. BrowserStack's authenticated App
+Automate device catalog returned `realMobile: true` for every selected model and
+major-OS tuple:
+
+| Requested catalog device | Catalog OS | Catalog tier | `realMobile` | Resolved session OS |
+|---|---|---|---|---|
+| iPhone 15 | iOS 26 | Tier 3 | `true` | iOS 26.6 |
+| iPhone 16 | iOS 18 | Tier 1 | `true` | iOS 18.6 |
+| iPhone 17 | iOS 26 | Tier 1 | `true` | iOS 26.6 |
+| iPhone 17 Pro Max | iOS 26 | Tier 4 | `true` | iOS 26.6 |
+
+BrowserStack's App Automate device API documentation states that its mobile
+entries are physical devices hosted in BrowserStack data centers and that
+`realMobile` is always `true` for App Automate:
+
+<https://www.browserstack.com/docs/app-automate/api-reference/appium/devices>
+
+The four device receipts in this package record the session-selected device and
+resolved OS, result, screenshots, and untouched device video. Private session
+URLs, credentials, logs, and identifiers are intentionally excluded.
+
+“Physical device” does not remove the stated test limitations. BrowserStack
+re-signs the test IPA and strips PocketPal's increased-memory and
+extended-virtual-addressing entitlements; the devices remained connected; and
+each row is one non-thermally-normalized session. These are local-Metal backend
+and throughput observations, not App Store memory-fit, offline, or universal
+compatibility certification.

README.md

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+---
+pretty_name: Ralph sub2 physical-iPhone device lab
+license: other
+language:
+  - en
+tags:
+  - on-device-llm
+  - iphone
+  - gguf
+  - llama-cpp
+  - metal
+  - benchmark
+configs:
+  - config_name: default
+    data_files:
+      - split: test
+        path: matrix.csv
+---
+
+# The same model. Small enough to sit on your phone.
+
+**One configured 2.94 GB Round 7 sub2 crown. Four physical iPhones. Four open
+receipts.** Each phone loaded the model and completed the same normal PocketPal
+chat prompt through the local llama.cpp Metal runtime.
+
+![Ralph sub2 results across four physical iPhones](social/matrix-hero-1600x900.png)
+
+[Watch the 30-second desktop cut](social/ralph-sub2-four-physical-iphones-horizontal.mp4)
+· [Watch the 30-second vertical cut](social/ralph-sub2-four-physical-iphones-vertical.mp4)
+· [Watch the 15-second vertical teaser](social/ralph-sub2-four-physical-iphones-teaser-15s.mp4)
+· [Download the model](https://huggingface.co/RalphLabsAI/ralph-crowns/blob/main/ralph-qwen3-8b-sub2.gguf)
+· [Inspect the machine-readable matrix](matrix.json)
+· [Verify every file](SHA256SUMS)
+· [Read licensing and attribution](ATTRIBUTION.md)
+
+## Normal PocketPal chat
+
+| Physical device | OS | Chat speed | TTFT | Result |
+|---|---|---:|---:|---|
+| iPhone 15 | iOS 26.6 | 10.58 tok/s | 838 ms | Completed |
+| iPhone 16 | iOS 18.6 | 12.36 tok/s | 439 ms | Completed |
+| iPhone 17 | iOS 26.6 | 16.77 tok/s | 427 ms | Completed |
+| iPhone 17 Pro Max | iOS 26.6 | 18.54 tok/s | 400 ms | Completed |
+
+These values come from PocketPal's normal-chat timing footer. They are separate
+from the controlled `pp` and `tg` benchmark values preserved in `matrix.json`
+and must not be substituted for them.
+
+The fixed prompt was:
+
+> In two sentences, explain how lower-bit weights reduce memory use without
+> changing a model's architecture.
+
+All four responses, timing footers, benchmark screenshots, and untouched
+device-screen recordings are included. PocketPal displayed **Memory tight** on
+all four devices; the warning is intentionally visible in the evidence.
+
+## Artifact identity
+
+| Field | Value |
+|---|---|
+| Repository | `RalphLabsAI/ralph-crowns` |
+| Filename | `ralph-qwen3-8b-sub2.gguf` |
+| Size | 2,937,263,168 bytes (2.94 GB decimal) |
+| Expected SHA-256 | `9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50` |
+| Crown | Ralph Round 7 sub2 |
+| Profile | Q2_K-led mixed quantization |
+| Winning builder | [boweizh1204](https://huggingface.co/boweizh1204) |
+| Source artifact | [`boweizh1204/ralph-qwen3-8b-sub2-qat5`](https://huggingface.co/boweizh1204/ralph-qwen3-8b-sub2-qat5) |
+
+The expected digest was recomputed against Ralph's local mirror while preparing
+the test build. It was **not computed on-device**. The model weights are not
+redistributed in this dataset; download them from the linked model repository.
+
+## What was tested
+
+- BrowserStack App Automate physical iPhones, one cloud-device session per row
+- PocketPal 1.17.3 (build 147), test-only device-lab build
+- PocketPal source commit `6683a28876d031484cc72dde251b6139a804ad64`
+- Context 2,048; GPU backend requested; Metal execution observed as `MTL0`
+- Controlled benchmark: pp=128, tg=32, parallel=1, repeats=3, mmap enabled
+- Network connected throughout each run
+
+`PHYSICAL_DEVICE_PROOF.md` records how the selected App Automate catalog entries
+were checked as physical devices. Each directory under `devices/` contains a
+human-readable receipt, three screenshots, and the untouched screen recording.
+The `social/` directory contains clearly identified edits derived from those
+receipts.
+
+## Claim boundary
+
+These runs show that the configured Ralph sub2 model loaded and generated
+through PocketPal's local llama.cpp Metal runtime on the four recorded physical
+cloud devices, at the displayed one-session speeds.
+
+They do **not** establish:
+
+- App Store memory-fit certification or required device RAM;
+- airplane-mode or offline operation;
+- universal iPhone compatibility or typical repeated-run performance;
+- an on-device SHA-256 match; or
+- broad model quality from one fixed prompt.
+
+BrowserStack re-signing strips PocketPal's increased-memory-limit and
+extended-virtual-addressing entitlements. The devices remained connected, the
+runs were not thermally normalized, and observed peak memory is a harness
+observation rather than a hardware requirement.
+
+“The same model” means the same admitted Qwen3-8B architecture and parameter
+structure—not identical weights, guaranteed identical behavior, or universal
+phone compatibility.
+
+## Verify the receipt set
+
+```bash
+hf download RalphLabsAI/ralph-device-lab \
+  --repo-type dataset \
+  --local-dir ralph-device-lab
+cd ralph-device-lab
+sha256sum -c SHA256SUMS
+```
+
+The publisher regenerates `SHA256SUMS` from the exact public payload and commits
+the card, records, media, and integrity manifest under one protected Hub parent.
+
+## Build on the evidence
+
+Try the same artifact and report both successes and failures. Include your
+device, OS, PocketPal version, exact filename, context, load result, timing
+footer if shown, and a screenshot or recording. Do not include account details,
+serial numbers, notifications, or private device information.
+
+Ralph is an open model-compression tournament on Bittensor SN40. The model card,
+signed round record, licenses, notices, and builder credit remain with the
+[Ralph crowns repository](https://huggingface.co/RalphLabsAI/ralph-crowns).

SHA256SUMS

@@ -0,0 +1,52 @@
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+ffe4f6b0f4b499f7ef794e0e740fd63d87e42cd8e6d397503cb665137aa82c1c  ./PHYSICAL_DEVICE_PROOF.md
+e052f8c3b9b630a3c74c82ba656058dac6896f30180054f668a9fa65e4e30a4c  ./README.md
+3313694cff00ab8d9642c4c81e794535454c63ec2b290513f8d0fa810ac8a7b3  ./browserstack-device-catalog-snapshot.json
+daf295294ded97ac4090e5240749bb6ad2e2c9d51d5a2fbc9c7b14f0b42eea49  ./devices/iphone-15-ios-26.6/RECEIPT.md
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+701dfb84e6e4ab2aeb1fa582822a20d2671637cba28a04a8af20e7d1f1e5a183  ./devices/iphone-17-ios-26.6/receipt-raw.mp4
+fe2401ee41d641dab124eb6482e75cf40f8a706d88d6402611c14856c93aef6b  ./devices/iphone-17-pro-max-ios-26.6/RECEIPT.md
+1e1e7cd51dfbc1677a1203a16e32da1b7b7a0405d561656c86484592318f39be  ./devices/iphone-17-pro-max-ios-26.6/benchmark.png
+dfa07615dd30eb4f41a0f1e2138a196ce4537c48cab1503988eb69b05e55895c  ./devices/iphone-17-pro-max-ios-26.6/chat-response.png
+8fa56b590049314825e00f7dab27cd0c57dc5eacc9b41160bb269fd444ef2bf9  ./devices/iphone-17-pro-max-ios-26.6/model-ready.png
+41e2a3088510a193c4e06d6d3890fa35d8a5a896e2400d02d61952e9d718480b  ./devices/iphone-17-pro-max-ios-26.6/receipt-raw.mp4
+c0005801a6e3e5ac006476a98e3c160c5a92bcd69d52b244dccdff6d73aac6b6  ./matrix.csv
+7bca93be337c055118bb4b0e9c28426f98454201c726569dc23ab425f6c7dea6  ./matrix.json
+7627bd86911668c2d857151b0a9e85b7ea2808b98e28b40c2ec59d1982efd9f1  ./social/README.md
+13aa93a0759f1bd4843cc34d2c3217d40c6884acc25fb9f0b788e413d3ef75d1  ./social/carousel-01-hook.png
+a05c48fcd4a31802bbf8ce6aa8867f20423f28add1a99de23b47603d826b03f3  ./social/carousel-02-device-matrix.png
+81be0041acb0e127ffb0404f53c3022b57512f410cf1a3775cd67990be90371e  ./social/carousel-03-receipts.png
+02ebe5fa196430a32972eccc7d7b1f27f67f6c746a603a349345d984ee716f34  ./social/carousel-04-cta.png
+b2b5e4553abc9eac07a7f3d5b0a26802f837d164c1c05e9a39dfbb4d0ffcb8fa  ./social/manifest.json
+49e6c3e1ec8f7a5b52ff834ce274c09d22bd076af8d8eda8fd5fef4ca409c062  ./social/matrix-hero-1600x900.png
+0d0cdb817718d72542eb6e66235fecaa27001931ba55285b29be108e6908870c  ./social/matrix-social-1080x1350.png
+711f1df50bed1c9edd8f523c8a6f9e9d65e4240a1f5ba264ade11d67933cee75  ./social/per-device/iphone-15-ios-26.6/chat-vertical.mp4
+7f349cc78ceb3c078f14f2ca310871744c13464a3661239cf3e71c779dce5455  ./social/per-device/iphone-15-ios-26.6/load-to-answer-vertical.mp4
+2567fba7ae0ec62db34db808ce08e67d781d4e00a054bb00fe21b9f3e3245e3f  ./social/per-device/iphone-15-ios-26.6/poster.png
+7c6ecfced293bbfc8e8cebcd1527853d5d0db91a9678e39149fff57c20a9df0f  ./social/per-device/iphone-16-ios-18.6/chat-vertical.mp4
+f6c6105cbcead358f23c2f75be0f57d4ce850cb91b1f6fd7d0ce33c62f908607  ./social/per-device/iphone-16-ios-18.6/load-to-answer-vertical.mp4
+8cd237076747bd601052c8390a1f38a2c4679b49183d05cb48fe70e858325f74  ./social/per-device/iphone-16-ios-18.6/poster.png
+bda09227241da7f7367f759945488158535cb11c289be923b88b2e6deda24606  ./social/per-device/iphone-17-ios-26.6/chat-vertical.mp4
+e8ee8dce92b31415363c099de809a97142e7d0f551e0cb7a67bf6d3a36151f93  ./social/per-device/iphone-17-ios-26.6/load-to-answer-vertical.mp4
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+5f03c81ff58f3594098841fc7b07b3568d9c23484f7686244cf961a2e7648130  ./social/per-device/iphone-17-pro-max-ios-26.6/chat-vertical.mp4
+623e983eefe2d4234307b5cc63249b8296e1beb00f11524e1558ad2079c4d43e  ./social/per-device/iphone-17-pro-max-ios-26.6/load-to-answer-vertical.mp4
+924d98c00edb7054eed4525e33737bdc48c639768d183158fbc5fab460e88f38  ./social/per-device/iphone-17-pro-max-ios-26.6/poster.png
+4a788964ef3b2646715d9088d22a14cfad195e8296482fd660d02cd0bc201255  ./social/ralph-sub2-four-physical-iphones-contact-sheet.jpg
+ef8e30ce64515e85d92410985034cdd982127af76841a60c7588332a4b58f2e8  ./social/ralph-sub2-four-physical-iphones-horizontal-contact-sheet.jpg
+c9c2cb13c9ac48447961c087af31fac07f493a96cbea36fd576312b59fa0840c  ./social/ralph-sub2-four-physical-iphones-horizontal.mp4
+2b761e6c5b020fb80208ba477df3ce1ea180c85757c07fc123135ae8595a4a2a  ./social/ralph-sub2-four-physical-iphones-teaser-15s-contact-sheet.jpg
+5a3b9e0fe39b89d8fa7c1d1d9dd984ae94787bbe68dbc789b2e6a51db5025e97  ./social/ralph-sub2-four-physical-iphones-teaser-15s.mp4
+5fc696dcee219992d8eb8fb8f4a8f8ee9367f6128f02c9d69683a8b21fcb1923  ./social/ralph-sub2-four-physical-iphones-vertical.mp4

browserstack-device-catalog-snapshot.json

@@ -0,0 +1,36 @@
+{
+  "captured_at_utc": "2026-09-15T14:34:00Z",
+  "endpoint": "https://api-cloud.browserstack.com/app-automate/devices.json",
+  "documentation": "https://www.browserstack.com/docs/app-automate/api-reference/appium/devices",
+  "selected_entries": [
+    {
+      "device": "iPhone 15",
+      "os": "ios",
+      "os_version": "26",
+      "realMobile": true,
+      "device_tier": "Tier 3"
+    },
+    {
+      "device": "iPhone 16",
+      "os": "ios",
+      "os_version": "18",
+      "realMobile": true,
+      "device_tier": "Tier 1"
+    },
+    {
+      "device": "iPhone 17",
+      "os": "ios",
+      "os_version": "26",
+      "realMobile": true,
+      "device_tier": "Tier 1"
+    },
+    {
+      "device": "iPhone 17 Pro Max",
+      "os": "ios",
+      "os_version": "26",
+      "realMobile": true,
+      "device_tier": "Tier 4"
+    }
+  ],
+  "note": "The catalog uses major OS selectors. Completed session metadata records the resolved minor OS versions."
+}

devices/iphone-15-ios-26.6/RECEIPT.md

@@ -0,0 +1,42 @@
+# Ralph sub2 — iPhone 15 / iOS 26.6
+
+## Environment
+
+- Physical BrowserStack iPhone 15, iOS 26.6
+- Session started: 2026-09-15 14:02:27 UTC (458 seconds)
+- PocketPal 1.17.3 (build 147), test-only device-lab build
+- PocketPal source: `6683a28876d031484cc72dde251b6139a804ad64`
+- Network connected; no airplane-mode proof
+
+## Artifact identity
+
+- `ralph-qwen3-8b-sub2.gguf`, 2,937,263,168 bytes
+- Expected SHA-256: `9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50`
+- Digest status: expected/local mirror verified; **not computed on-device**
+- Context: 2,048 tokens; Metal requested and observed (`MTL0`)
+
+## Controlled benchmark
+
+- Prompt processing: 81.67847742889315 tok/s
+- Generation: 12.358422759719948 tok/s
+- Observed peak memory: 1,359.25 MB
+- Harness wall time: 159,967 ms
+- Protocol: pp=128, tg=32, parallel=1, repeats=3
+
+## Normal PocketPal chat
+
+- 10.58 tok/s; 95 ms/token; 838 ms TTFT
+- Prompt: “In two sentences, explain how lower-bit weights reduce memory use without changing a model's architecture.”
+- Response: “Lower-bit weights reduce memory use by quantizing the model's parameters to fewer bits, which decreases the storage requirements per parameter without altering the model's structure. This allows the model to run efficiently on devices with limited memory while maintaining its performance.”
+
+## Evidence and boundaries
+
+- `model-ready.png` visibly shows 2.94 GB and **Memory tight**.
+- `benchmark.png` records successful controlled Metal completion.
+- `chat-response.png` records the completed response and chat timing footer.
+- `receipt-raw.mp4` is the untouched device-screen recording.
+
+The model loaded and generated despite the warning. Controlled benchmark `tg`
+is not normal chat speed. BrowserStack re-signing strips increased-memory and
+extended-virtual-addressing entitlements, so this is not App Store memory-fit
+certification. Peak memory is an observation, not required device RAM.

devices/iphone-15-ios-26.6/receipt-raw.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a55261141ee2aadcccc66ff6b2cc18196909ba114647849923b5affceea7b802
+size 5594036

devices/iphone-16-ios-18.6/RECEIPT.md

@@ -0,0 +1,42 @@
+# Ralph sub2 — iPhone 16 / iOS 18.6
+
+## Environment
+
+- Physical BrowserStack iPhone 16, iOS 18.6
+- Session started: 2026-09-15 14:02:27 UTC (450 seconds)
+- PocketPal 1.17.3 (build 147), test-only device-lab build
+- PocketPal source: `6683a28876d031484cc72dde251b6139a804ad64`
+- Network connected; no airplane-mode proof
+
+## Artifact identity
+
+- `ralph-qwen3-8b-sub2.gguf`, 2,937,263,168 bytes
+- Expected SHA-256: `9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50`
+- Digest status: expected/local mirror verified; **not computed on-device**
+- Context: 2,048 tokens; Metal requested and observed (`MTL0`)
+
+## Controlled benchmark
+
+- Prompt processing: 88.19278523444183 tok/s
+- Generation: 14.401330754649772 tok/s
+- Observed peak memory: 3,151.52 MB
+- Harness wall time: 301,949 ms
+- Protocol: pp=128, tg=32, parallel=1, repeats=3
+
+## Normal PocketPal chat
+
+- 12.36 tok/s; 81 ms/token; 439 ms TTFT
+- Prompt: “In two sentences, explain how lower-bit weights reduce memory use without changing a model's architecture.”
+- Response: “Lower-bit weights reduce memory use by quantizing the model's parameters to fewer bits, which decreases the storage requirements without altering the model's structure. This allows for more efficient memory utilization while maintaining the same number of layers and operations.”
+
+## Evidence and boundaries
+
+- `model-ready.png` visibly shows 2.94 GB and **Memory tight**.
+- `benchmark.png` records successful controlled Metal completion.
+- `chat-response.png` records the completed response and chat timing footer.
+- `receipt-raw.mp4` is the untouched device-screen recording.
+
+The model loaded and generated despite the warning. Controlled benchmark `tg`
+is not normal chat speed. BrowserStack re-signing strips increased-memory and
+extended-virtual-addressing entitlements, so this is not App Store memory-fit
+certification. Peak memory is an observation, not required device RAM.

devices/iphone-16-ios-18.6/receipt-raw.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5bcba8cd2b322848ef55fb85da3da2b3c2868a0fb786aa3e70edce6e6d7edf95
+size 4612987

devices/iphone-17-ios-26.6/RECEIPT.md

@@ -0,0 +1,42 @@
+# Ralph sub2 — iPhone 17 / iOS 26.6
+
+## Environment
+
+- Physical BrowserStack iPhone 17, iOS 26.6
+- Session started: 2026-09-15 14:02:28 UTC (455 seconds)
+- PocketPal 1.17.3 (build 147), test-only device-lab build
+- PocketPal source: `6683a28876d031484cc72dde251b6139a804ad64`
+- Network connected; no airplane-mode proof
+
+## Artifact identity
+
+- `ralph-qwen3-8b-sub2.gguf`, 2,937,263,168 bytes
+- Expected SHA-256: `9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50`
+- Digest status: expected/local mirror verified; **not computed on-device**
+- Context: 2,048 tokens; Metal requested and observed (`MTL0`)
+
+## Controlled benchmark
+
+- Prompt processing: 288.4833486243861 tok/s
+- Generation: 20.356770485468502 tok/s
+- Observed peak memory: 1,897.22 MB
+- Harness wall time: 311,703 ms
+- Protocol: pp=128, tg=32, parallel=1, repeats=3
+
+## Normal PocketPal chat
+
+- 16.77 tok/s; 60 ms/token; 427 ms TTFT
+- Prompt: “In two sentences, explain how lower-bit weights reduce memory use without changing a model's architecture.”
+- Response: “Lower-bit weights reduce memory use by representing model parameters with fewer bits, which decreases the amount of memory required to store each weight without altering the model's structure. This allows for more efficient memory utilization while maintaining the same number of layers and neurons in the model.”
+
+## Evidence and boundaries
+
+- `model-ready.png` visibly shows 2.94 GB and **Memory tight**.
+- `benchmark.png` records successful controlled Metal completion.
+- `chat-response.png` records the completed response and chat timing footer.
+- `receipt-raw.mp4` is the untouched device-screen recording.
+
+The model loaded and generated despite the warning. Controlled benchmark `tg`
+is not normal chat speed. BrowserStack re-signing strips increased-memory and
+extended-virtual-addressing entitlements, so this is not App Store memory-fit
+certification. Peak memory is an observation, not required device RAM.

devices/iphone-17-ios-26.6/receipt-raw.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:701dfb84e6e4ab2aeb1fa582822a20d2671637cba28a04a8af20e7d1f1e5a183
+size 3602063

devices/iphone-17-pro-max-ios-26.6/RECEIPT.md

@@ -0,0 +1,42 @@
+# Ralph sub2 — iPhone 17 Pro Max / iOS 26.6
+
+## Environment
+
+- Physical BrowserStack iPhone 17 Pro Max, iOS 26.6
+- Session started: 2026-09-15 13:28:50 UTC (316 seconds)
+- PocketPal 1.17.3 (build 147), test-only device-lab build
+- PocketPal source: `6683a28876d031484cc72dde251b6139a804ad64`
+- Network connected; no airplane-mode proof
+
+## Artifact identity
+
+- `ralph-qwen3-8b-sub2.gguf`, 2,937,263,168 bytes
+- Expected SHA-256: `9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50`
+- Digest status: expected/local mirror verified; **not computed on-device**
+- Context: 2,048 tokens; Metal requested and observed (`MTL0`)
+
+## Controlled benchmark
+
+- Prompt processing: 328.47583335972814 tok/s
+- Generation: 22.539080509295804 tok/s
+- Observed peak memory: 3,224.59 MB
+- Harness wall time: 171,784 ms
+- Protocol: pp=128, tg=32, parallel=1, repeats=3
+
+## Normal PocketPal chat
+
+- 18.54 tok/s; 54 ms/token; 400 ms TTFT
+- Prompt: “In two sentences, explain how lower-bit weights reduce memory use without changing a model's architecture.”
+- Response: “Lower-bit weights reduce memory use by quantizing the model's weights to fewer bits, which decreases the storage requirements per weight without altering the model's structure. This allows for more efficient memory utilization while maintaining the same computational graph and parameter distribution.”
+
+## Evidence and boundaries
+
+- `model-ready.png` visibly shows 2.94 GB and **Memory tight**.
+- `benchmark.png` records successful controlled Metal completion.
+- `chat-response.png` records the completed response and chat timing footer.
+- `receipt-raw.mp4` is the untouched device-screen recording.
+
+The model loaded and generated despite the warning. Controlled benchmark `tg`
+is not normal chat speed. BrowserStack re-signing strips increased-memory and
+extended-virtual-addressing entitlements, so this is not App Store memory-fit
+certification. Peak memory is an observation, not required device RAM.

devices/iphone-17-pro-max-ios-26.6/receipt-raw.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:41e2a3088510a193c4e06d6d3890fa35d8a5a896e2400d02d61952e9d718480b
+size 3667361

matrix.csv

@@ -0,0 +1,5 @@
+device_id,device,os,physical_device,status,memory_tight_warning_visible,normal_chat_tokens_per_second,normal_chat_ms_per_token,normal_chat_ttft_ms,controlled_prompt_tokens_per_second,controlled_generation_tokens_per_second,benchmark_wall_ms,observed_peak_memory_mb,effective_backend,runtime_gpu,model_filename,model_size_bytes,expected_sha256,sha256_on_device_verified,app_version,app_build,benchmark_captured_at_utc
+iphone-15-ios-26.6,iPhone 15,iOS 26.6,true,passed,true,10.58,95,838,81.67847742889315,12.358422759719948,159967,1359.25,metal,true,ralph-qwen3-8b-sub2.gguf,2937263168,9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50,false,1.17.3,147,2026-09-15T14:08:56.887Z
+iphone-16-ios-18.6,iPhone 16,iOS 18.6,true,passed,true,12.36,81,439,88.19278523444183,14.401330754649772,301949,3151.52,metal,true,ralph-qwen3-8b-sub2.gguf,2937263168,9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50,false,1.17.3,147,2026-09-15T14:08:40.550Z
+iphone-17-ios-26.6,iPhone 17,iOS 26.6,true,passed,true,16.77,60,427,288.4833486243861,20.356770485468502,311703,1897.22,metal,true,ralph-qwen3-8b-sub2.gguf,2937263168,9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50,false,1.17.3,147,2026-09-15T14:08:51.361Z
+iphone-17-pro-max-ios-26.6,iPhone 17 Pro Max,iOS 26.6,true,passed,true,18.54,54,400,328.47583335972814,22.539080509295804,171784,3224.59,metal,true,ralph-qwen3-8b-sub2.gguf,2937263168,9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50,false,1.17.3,147,2026-09-15T13:33:04.160Z

matrix.json

@@ -0,0 +1,222 @@
+{
+  "schema_version": "1.0",
+  "package_id": "ralph-sub2-iphone-matrix-v1",
+  "generated_at_utc": "2026-09-15T14:12:31Z",
+  "publication_status": "prepared_for_publication",
+  "model": {
+    "repository": "RalphLabsAI/ralph-crowns",
+    "filename": "ralph-qwen3-8b-sub2.gguf",
+    "size_bytes": 2937263168,
+    "display_size_decimal_gb": 2.94,
+    "expected_sha256": "9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50",
+    "sha256_verification": {
+      "status": "expected_and_local_mirror_verified",
+      "local_mirror_match": true,
+      "computed_on_device": false
+    },
+    "profile": "sub2",
+    "quantization": "Q2_K-led mixed quantization",
+    "embedded_chat_template": true,
+    "round": 7
+  },
+  "app": {
+    "name": "PocketPal",
+    "version": "1.17.3",
+    "build": 147,
+    "source_commit": "6683a28876d031484cc72dde251b6139a804ad64",
+    "test_only_device_lab_build": true
+  },
+  "test_configuration": {
+    "provider": "BrowserStack",
+    "physical_devices": true,
+    "network_state": "connected",
+    "airplane_mode_verified": false,
+    "context_tokens": 2048,
+    "requested_backend": "gpu",
+    "effective_backend": "metal",
+    "runtime_device": "MTL0",
+    "benchmark": {
+      "prompt_tokens": 128,
+      "generated_tokens": 32,
+      "parallel": 1,
+      "repeats": 3,
+      "mmap": true
+    },
+    "chat_prompt": "In two sentences, explain how lower-bit weights reduce memory use without changing a model's architecture."
+  },
+  "summary": {
+    "devices_tested": 4,
+    "successful_benchmarks": 4,
+    "successful_normal_chat_takes": 4,
+    "devices_showing_memory_tight_warning": 4,
+    "normal_chat_tokens_per_second_range": {
+      "min": 10.58,
+      "max": 18.54
+    },
+    "controlled_generation_tokens_per_second_range": {
+      "min": 12.358422759719948,
+      "max": 22.539080509295804
+    }
+  },
+  "devices": [
+    {
+      "id": "iphone-15-ios-26.6",
+      "device": "iPhone 15",
+      "os": "iOS 26.6",
+      "physical_device": true,
+      "session_started_at_utc": "2026-09-15T14:02:27Z",
+      "session_duration_seconds": 458,
+      "benchmark_captured_at_utc": "2026-09-15T14:08:56.887Z",
+      "status": "passed",
+      "model_loaded": true,
+      "chat_completed": true,
+      "memory_tight_warning_visible": true,
+      "normal_pocketpal_chat": {
+        "tokens_per_second": 10.58,
+        "milliseconds_per_token": 95,
+        "ttft_ms": 838,
+        "response": "Lower-bit weights reduce memory use by quantizing the model's parameters to fewer bits, which decreases the storage requirements per parameter without altering the model's structure. This allows the model to run efficiently on devices with limited memory while maintaining its performance."
+      },
+      "controlled_benchmark": {
+        "prompt_tokens_per_second": 81.67847742889315,
+        "generation_tokens_per_second": 12.358422759719948,
+        "wall_ms": 159967,
+        "observed_peak_memory_mb": 1359.25,
+        "runtime_gpu": true,
+        "runtime_devices": [
+          "MTL0"
+        ]
+      },
+      "artifact_sha256_on_device_verified": false,
+      "evidence": {
+        "receipt": "devices/iphone-15-ios-26.6/RECEIPT.md",
+        "benchmark_screenshot": "devices/iphone-15-ios-26.6/benchmark.png",
+        "model_screenshot": "devices/iphone-15-ios-26.6/model-ready.png",
+        "chat_screenshot": "devices/iphone-15-ios-26.6/chat-response.png",
+        "raw_screen_recording": "devices/iphone-15-ios-26.6/receipt-raw.mp4"
+      }
+    },
+    {
+      "id": "iphone-16-ios-18.6",
+      "device": "iPhone 16",
+      "os": "iOS 18.6",
+      "physical_device": true,
+      "session_started_at_utc": "2026-09-15T14:02:27Z",
+      "session_duration_seconds": 450,
+      "benchmark_captured_at_utc": "2026-09-15T14:08:40.550Z",
+      "status": "passed",
+      "model_loaded": true,
+      "chat_completed": true,
+      "memory_tight_warning_visible": true,
+      "normal_pocketpal_chat": {
+        "tokens_per_second": 12.36,
+        "milliseconds_per_token": 81,
+        "ttft_ms": 439,
+        "response": "Lower-bit weights reduce memory use by quantizing the model's parameters to fewer bits, which decreases the storage requirements without altering the model's structure. This allows for more efficient memory utilization while maintaining the same number of layers and operations."
+      },
+      "controlled_benchmark": {
+        "prompt_tokens_per_second": 88.19278523444183,
+        "generation_tokens_per_second": 14.401330754649772,
+        "wall_ms": 301949,
+        "observed_peak_memory_mb": 3151.52,
+        "runtime_gpu": true,
+        "runtime_devices": [
+          "MTL0"
+        ]
+      },
+      "artifact_sha256_on_device_verified": false,
+      "evidence": {
+        "receipt": "devices/iphone-16-ios-18.6/RECEIPT.md",
+        "benchmark_screenshot": "devices/iphone-16-ios-18.6/benchmark.png",
+        "model_screenshot": "devices/iphone-16-ios-18.6/model-ready.png",
+        "chat_screenshot": "devices/iphone-16-ios-18.6/chat-response.png",
+        "raw_screen_recording": "devices/iphone-16-ios-18.6/receipt-raw.mp4"
+      }
+    },
+    {
+      "id": "iphone-17-ios-26.6",
+      "device": "iPhone 17",
+      "os": "iOS 26.6",
+      "physical_device": true,
+      "session_started_at_utc": "2026-09-15T14:02:28Z",
+      "session_duration_seconds": 455,
+      "benchmark_captured_at_utc": "2026-09-15T14:08:51.361Z",
+      "status": "passed",
+      "model_loaded": true,
+      "chat_completed": true,
+      "memory_tight_warning_visible": true,
+      "normal_pocketpal_chat": {
+        "tokens_per_second": 16.77,
+        "milliseconds_per_token": 60,
+        "ttft_ms": 427,
+        "response": "Lower-bit weights reduce memory use by representing model parameters with fewer bits, which decreases the amount of memory required to store each weight without altering the model's structure. This allows for more efficient memory utilization while maintaining the same number of layers and neurons in the model."
+      },
+      "controlled_benchmark": {
+        "prompt_tokens_per_second": 288.4833486243861,
+        "generation_tokens_per_second": 20.356770485468502,
+        "wall_ms": 311703,
+        "observed_peak_memory_mb": 1897.22,
+        "runtime_gpu": true,
+        "runtime_devices": [
+          "MTL0"
+        ]
+      },
+      "artifact_sha256_on_device_verified": false,
+      "evidence": {
+        "receipt": "devices/iphone-17-ios-26.6/RECEIPT.md",
+        "benchmark_screenshot": "devices/iphone-17-ios-26.6/benchmark.png",
+        "model_screenshot": "devices/iphone-17-ios-26.6/model-ready.png",
+        "chat_screenshot": "devices/iphone-17-ios-26.6/chat-response.png",
+        "raw_screen_recording": "devices/iphone-17-ios-26.6/receipt-raw.mp4"
+      }
+    },
+    {
+      "id": "iphone-17-pro-max-ios-26.6",
+      "device": "iPhone 17 Pro Max",
+      "os": "iOS 26.6",
+      "physical_device": true,
+      "session_started_at_utc": "2026-09-15T13:28:50Z",
+      "session_duration_seconds": 316,
+      "benchmark_captured_at_utc": "2026-09-15T13:33:04.160Z",
+      "status": "passed",
+      "model_loaded": true,
+      "chat_completed": true,
+      "memory_tight_warning_visible": true,
+      "normal_pocketpal_chat": {
+        "tokens_per_second": 18.54,
+        "milliseconds_per_token": 54,
+        "ttft_ms": 400,
+        "response": "Lower-bit weights reduce memory use by quantizing the model's weights to fewer bits, which decreases the storage requirements per weight without altering the model's structure. This allows for more efficient memory utilization while maintaining the same computational graph and parameter distribution."
+      },
+      "controlled_benchmark": {
+        "prompt_tokens_per_second": 328.47583335972814,
+        "generation_tokens_per_second": 22.539080509295804,
+        "wall_ms": 171784,
+        "observed_peak_memory_mb": 3224.59,
+        "runtime_gpu": true,
+        "runtime_devices": [
+          "MTL0"
+        ]
+      },
+      "artifact_sha256_on_device_verified": false,
+      "evidence": {
+        "receipt": "devices/iphone-17-pro-max-ios-26.6/RECEIPT.md",
+        "benchmark_screenshot": "devices/iphone-17-pro-max-ios-26.6/benchmark.png",
+        "model_screenshot": "devices/iphone-17-pro-max-ios-26.6/model-ready.png",
+        "chat_screenshot": "devices/iphone-17-pro-max-ios-26.6/chat-response.png",
+        "raw_screen_recording": "devices/iphone-17-pro-max-ios-26.6/receipt-raw.mp4"
+      }
+    }
+  ],
+  "limitations": [
+    "BrowserStack re-signing strips PocketPal increased-memory-limit and extended-virtual-addressing entitlements.",
+    "These are physical-cloud-device throughput and backend observations, not App Store memory-fit certification.",
+    "Devices remained network-connected; these recordings are not airplane-mode or offline proof.",
+    "The expected model SHA-256 was verified against a local mirror, not computed on-device.",
+    "The Memory tight warning was visible on every tested device even though all four loaded and generated successfully.",
+    "Controlled benchmark generation speed and normal PocketPal chat speed are separate measurements and must not be substituted for one another.",
+    "Observed peak memory is a harness observation, not required device RAM.",
+    "Each row is one session without thermal normalization and does not establish universal performance or model quality."
+  ],
+  "publication_repository": "https://huggingface.co/datasets/RalphLabsAI/ralph-device-lab"
+}

social/README.md

@@ -0,0 +1,41 @@
+# Review-ready social media
+
+These are branded edits derived from the untouched device receipts in
+`../../devices/`. They are promotional cuts, not substitutes for the raw
+evidence.
+
+## Per-device assets
+
+Each directory under `per-device/` contains:
+
+- `chat-vertical.mp4` — compact normal PocketPal prompt-to-answer take
+- `load-to-answer-vertical.mp4` — configured model screen through completed
+  answer; this is not a full Hugging Face discovery/import recording
+- `poster.png` — final response frame with exact normal-chat timing in the
+  Ralph campaign frame
+
+The filenames deliberately say `load-to-answer`, not `launch`. The cloud test
+app automatically downloads the configured public artifact before this take;
+it does not film the interactive Hugging Face search flow.
+
+## Aggregate assets
+
+The aggregate matrix poster, carousel, and 30-second montage are generated from
+the same receipts. They use normal PocketPal chat speeds only. The controlled
+benchmark values remain in the evidence package and are not substituted for
+normal-chat performance.
+
+- `ralph-sub2-four-physical-iphones-vertical.mp4` — 30-second 9:16 master
+- `ralph-sub2-four-physical-iphones-horizontal.mp4` — 30-second native 16:9
+  reflow for Hugging Face, GitHub, YouTube, and X
+- `ralph-sub2-four-physical-iphones-teaser-15s.mp4` — tight 15-second 9:16
+  teaser retaining the artifact identity, live proof, matrix, and CTA
+- Each video has a neighboring `*-contact-sheet.jpg` visual-QC sheet.
+
+Required limitation when an aggregate asset is posted:
+
+> Physical BrowserStack devices; connected test. Local Metal inference
+> verified. Cloud re-signing limits memory-fit conclusions. Full settings and
+> untouched recordings are in the receipts.
+
+These promotional edits remain secondary to the untouched device receipts.

social/manifest.json

@@ -0,0 +1,158 @@
+{
+  "status": "prepared_for_publication",
+  "source_package": "ralph-sub2-iphone-matrix-v1",
+  "claim": "The same configured 2.94 GB Round 7 sub2 crown completed normal PocketPal chat on four physical iPhones.",
+  "headline_metric": "normal PocketPal chat timing footer",
+  "outputs": [
+    {
+      "name": "hero_matrix",
+      "path": "matrix-hero-1600x900.png",
+      "width": 1600,
+      "height": 900,
+      "sha256": "49e6c3e1ec8f7a5b52ff834ce274c09d22bd076af8d8eda8fd5fef4ca409c062"
+    },
+    {
+      "name": "social_poster",
+      "path": "matrix-social-1080x1350.png",
+      "width": 1080,
+      "height": 1350,
+      "sha256": "0d0cdb817718d72542eb6e66235fecaa27001931ba55285b29be108e6908870c"
+    },
+    {
+      "name": "carousel_01",
+      "path": "carousel-01-hook.png",
+      "width": 1080,
+      "height": 1350,
+      "sha256": "13aa93a0759f1bd4843cc34d2c3217d40c6884acc25fb9f0b788e413d3ef75d1"
+    },
+    {
+      "name": "carousel_02",
+      "path": "carousel-02-device-matrix.png",
+      "width": 1080,
+      "height": 1350,
+      "sha256": "a05c48fcd4a31802bbf8ce6aa8867f20423f28add1a99de23b47603d826b03f3"
+    },
+    {
+      "name": "carousel_03",
+      "path": "carousel-03-receipts.png",
+      "width": 1080,
+      "height": 1350,
+      "sha256": "81be0041acb0e127ffb0404f53c3022b57512f410cf1a3775cd67990be90371e"
+    },
+    {
+      "name": "carousel_04",
+      "path": "carousel-04-cta.png",
+      "width": 1080,
+      "height": 1350,
+      "sha256": "02ebe5fa196430a32972eccc7d7b1f27f67f6c746a603a349345d984ee716f34"
+    },
+    {
+      "name": "aggregate_vertical_video",
+      "path": "ralph-sub2-four-physical-iphones-vertical.mp4",
+      "width": 1080,
+      "height": 1920,
+      "duration_seconds": 30.0,
+      "fps": 30,
+      "audio": false,
+      "sha256": "5fc696dcee219992d8eb8fb8f4a8f8ee9367f6128f02c9d69683a8b21fcb1923"
+    },
+    {
+      "name": "aggregate_video_qc_sheet",
+      "path": "ralph-sub2-four-physical-iphones-contact-sheet.jpg",
+      "width": 1350,
+      "height": 960,
+      "sha256": "4a788964ef3b2646715d9088d22a14cfad195e8296482fd660d02cd0bc201255"
+    },
+    {
+      "name": "aggregate_horizontal_video",
+      "path": "ralph-sub2-four-physical-iphones-horizontal.mp4",
+      "width": 1920,
+      "height": 1080,
+      "duration_seconds": 30.0,
+      "fps": 30,
+      "audio": false,
+      "sha256": "c9c2cb13c9ac48447961c087af31fac07f493a96cbea36fd576312b59fa0840c"
+    },
+    {
+      "name": "aggregate_horizontal_video_qc_sheet",
+      "path": "ralph-sub2-four-physical-iphones-horizontal-contact-sheet.jpg",
+      "width": 1920,
+      "height": 432,
+      "sha256": "ef8e30ce64515e85d92410985034cdd982127af76841a60c7588332a4b58f2e8"
+    },
+    {
+      "name": "aggregate_vertical_teaser",
+      "path": "ralph-sub2-four-physical-iphones-teaser-15s.mp4",
+      "width": 1080,
+      "height": 1920,
+      "duration_seconds": 15.0,
+      "fps": 30,
+      "audio": false,
+      "sha256": "5a3b9e0fe39b89d8fa7c1d1d9dd984ae94787bbe68dbc789b2e6a51db5025e97"
+    },
+    {
+      "name": "aggregate_vertical_teaser_qc_sheet",
+      "path": "ralph-sub2-four-physical-iphones-teaser-15s-contact-sheet.jpg",
+      "width": 1080,
+      "height": 960,
+      "sha256": "2b761e6c5b020fb80208ba477df3ce1ea180c85757c07fc123135ae8595a4a2a"
+    }
+  ],
+  "notes": [
+    "Physical BrowserStack devices; connected test; local Metal inference observed.",
+    "Cloud re-signing limits memory-fit conclusions.",
+    "Expected SHA-256 was local-mirror verified, not computed on-device.",
+    "Promotional edits are secondary to the untouched device receipts."
+  ],
+  "publication_repository": "https://huggingface.co/datasets/RalphLabsAI/ralph-device-lab",
+  "additional_public_files": [
+    {
+      "path": "per-device/iphone-15-ios-26.6/chat-vertical.mp4",
+      "sha256": "711f1df50bed1c9edd8f523c8a6f9e9d65e4240a1f5ba264ade11d67933cee75"
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