Ralph crowns — Qwen3-8B for your phone
Collection
Four Qwen3-8B crowns, real physical-iPhone receipts, and one community Device Lab. Download, test, and share your setup. • 12 items • Updated
device_id stringclasses 4
values | device stringclasses 4
values | os stringclasses 2
values | physical_device bool 1
class | status stringclasses 1
value | memory_tight_warning_visible bool 1
class | normal_chat_tokens_per_second float64 10.6 18.5 | normal_chat_ms_per_token int64 54 95 | normal_chat_ttft_ms int64 400 838 | controlled_prompt_tokens_per_second float64 81.7 328 | controlled_generation_tokens_per_second float64 12.4 22.5 | benchmark_wall_ms int64 160k 312k | observed_peak_memory_mb float64 1.36k 3.22k | effective_backend stringclasses 1
value | runtime_gpu bool 1
class | model_filename stringclasses 1
value | model_size_bytes int64 2.94B 2.94B | expected_sha256 stringclasses 1
value | sha256_on_device_verified bool 1
class | app_version stringclasses 1
value | app_build int64 147 147 | benchmark_captured_at_utc stringclasses 4
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
iphone-15-ios-26.6 | iPhone 15 | iOS 26.6 | true | passed | true | 10.58 | 95 | 838 | 81.678477 | 12.358423 | 159,967 | 1,359.25 | metal | true | ralph-qwen3-8b-sub2.gguf | 2,937,263,168 | 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 | 88.192785 | 14.401331 | 301,949 | 3,151.52 | metal | true | ralph-qwen3-8b-sub2.gguf | 2,937,263,168 | 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 | 288.483349 | 20.35677 | 311,703 | 1,897.22 | metal | true | ralph-qwen3-8b-sub2.gguf | 2,937,263,168 | 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 | 328.475833 | 22.539081 | 171,784 | 3,224.59 | metal | true | ralph-qwen3-8b-sub2.gguf | 2,937,263,168 | 9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50 | false | 1.17.3 | 147 | 2026-09-15T13:33:04.160Z |
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.
Watch the 30-second desktop cut · Watch the 30-second vertical cut · Watch the 15-second vertical teaser · Download the model · Inspect the machine-readable matrix · Verify every file · Read licensing and attribution
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 |
| Source artifact | 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
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.
- Downloads last month
- 67