Document crown licenses and add device-first quickstart

LICENSE

@@ -0,0 +1,202 @@
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NOTICE

@@ -0,0 +1,163 @@
+RalphLabsAI/ralph-crowns
+
+This repository is a verified mirror of four independently built Ralph crown artifacts. The
+license and notices below apply to the exact GGUF filenames and SHA-256 hashes listed in README.md
+and crowns.json. A later crown replacement is not covered automatically.
+
+The source NOTICE files are reproduced below from fixed documentation revisions. The GGUF at each
+documentation revision is byte-identical to the scored source revision and the corresponding file
+in this mirror.
+
+===== BEGIN BINARY SOURCE NOTICE =====
+Source: https://huggingface.co/ArizonaZZZ/ralph-v2-qwen3-8b-binary-p2A2-step500-05c56816
+Scored revision: 29c525c5c3166df2d62d5e180d09255199f778fe
+License-document revision: 74bb2415a8467f56f5d1c89c98f90dfcb4a5f2ac
+Mirrored file: ralph-qwen3-8b-binary.gguf
+SHA-256: 05c568169fc180067172cbdd38c1a9f5c249a556ffdef1dacd7172bad40fab58
+
+ralph-v2-qwen3-8b-binary-p2A2-step500 — Copyright (c) 2026 the ArizonaZZZ miner. Apache License 2.0.
+
+This artifact incorporates or derives from:
+- Qwen3-8B (Alibaba Cloud), Apache License 2.0 — https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE
+- Bonsai-8B (PrismML), Apache License 2.0 — https://huggingface.co/prism-ml/Bonsai-8B-unpacked
+Scales/norms were fitted on Qwen3-8B generations over prompts from: nvidia/OpenMathReasoning (CC-BY-4.0),
+zake7749/OpenScience-Chinese-Reasoning-SFT (CC-BY-4.0), glaiveai/reasoning-v1-20m (Apache-2.0),
+sarvamai/samvaad-hi-v1 (Apache-2.0), ricdomolm/mini-coder-trajs-400k (MIT). No dataset text is embedded.
+===== END BINARY SOURCE NOTICE =====
+
+===== BEGIN TERNARY SOURCE NOTICE =====
+Source: https://huggingface.co/tensor-tailor/ralph-qwen3-8b-ternary-r5
+Scored revision: 3e4096acf9ce1eb270ba3897b5d8396425a18884
+License-document revision: 36696e802e237f39a3ec6b15e8aef1596348e069
+Mirrored file: ralph-qwen3-8b-ternary.gguf
+SHA-256: c643cb42575a7a85b7518fd935973202c5686db270ef8b593afa8616a986154a
+
+tensor-tailor/ralph-qwen3-8b-ternary-r5
+
+This repository contains a bit-compressed derivative of:
+
+  Qwen3-8B
+  Copyright (c) Alibaba Cloud / the Qwen Team
+  Licensed under the Apache License, Version 2.0
+  https://huggingface.co/Qwen/Qwen3-8B
+
+Modifications made by tensor-tailor:
+  - Architecture and parameter count unchanged from the parent (8,190,735,360 weight-bearing
+    parameters), matching the pinned Ralph SN-40 v2 ParentSpec for the qwen3-8b tier.
+  - Weights re-stored in GGUF ternary format, quantized using an importance-matrix (imatrix)
+    calibration with llama.cpp's quantization tooling.
+  - No retraining, distillation, or architectural modification was performed; this is a
+    post-training weight re-storage of the parent's own weights at reduced bit-width.
+
+Third-party tooling used:
+  - llama.cpp (GGUF format, imatrix-based quantization)
+    Licensed under the MIT License - https://github.com/ggml-org/llama.cpp/blob/master/LICENSE
+
+Provided per Apache License 2.0 4(d) to preserve the parent's attribution notices. See LICENSE
+for the full license text governing this repository's contents.
+===== END TERNARY SOURCE NOTICE =====
+
+===== BEGIN SUB2 SOURCE NOTICE =====
+Source: https://huggingface.co/boweizh1204/ralph-qwen3-8b-sub2-qat5
+Scored revision: 261d535f67ba8e59f5d96ce7deeed98243ad8892
+License-document revision: ae95da44fa31dcaedaa77729ae34e00deaf3ff8f
+Mirrored file: ralph-qwen3-8b-sub2.gguf
+SHA-256: 9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50
+
+boweizh1204/ralph-qwen3-8b-sub2-qat5
+
+This repository contains a bit-compressed derivative of:
+
+  Qwen3-8B (Hugging Face revision b968826d9c46dd6066d109eabc6255188de91218)
+  Copyright 2024 Alibaba Cloud
+  Licensed under the Apache License, Version 2.0
+  https://huggingface.co/Qwen/Qwen3-8B
+
+Exact artifact covered by this notice:
+  model.gguf    — 2,937,263,168 bytes, SHA-256 9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50
+  manifest.json — as committed at the revision below
+  Hugging Face revision 261d535f67ba8e59f5d96ce7deeed98243ad8892
+  Ralph content hash 72136433b8f4613cf794a642b664b28dcbdf054f3e6499f8a6127f490da8cac1
+
+Modifications made by boweizh1204 (September 2026):
+  - Quantization-aware distillation: rank-64 LoRA adapters on all attention and MLP projections were trained
+    through a fake-quantized copy of the model (llama.cpp K-quant grids), with unmodified Qwen3-8B as the
+    teacher. Loss: forward KL on the teacher's logits plus 0.3 x cross-entropy on the teacher's greedy token.
+    The adapters were merged into the weights.
+  - Quantization with llama.cpp llama-quantize: Q2_K for attention q/k, FFN and token embedding; Q4_K for
+    attention v and the output head; Q3_K for attention output. The importance matrix was computed on
+    Qwen3-8B's own generations.
+  - Architecture, tokenizer, chat template and parameter count (8,190,427,136) are unchanged.
+  - Ralph SN-40 v2 sub2 tier (caps: 2.3 code bits/weight, 3.0 container bits/weight).
+    Measured: 2.2626 code bits/weight, 2.81 container bits/weight.
+
+Data used:
+  - Training targets and importance-matrix text are Qwen3-8B's own outputs (teacher logits and greedy
+    continuations). No third-party model weights or model outputs were used.
+  - Training prompts (conversation prefixes) were sampled from the five datasets below. They were used only as
+    model inputs and are not redistributed in this repository. These five are the complete list for this artifact.
+      1. glaiveai/reasoning-v1-20m (split train) — Apache-2.0
+         https://huggingface.co/datasets/glaiveai/reasoning-v1-20m
+      2. nvidia/OpenMathReasoning (split tir) — CC BY 4.0
+         https://huggingface.co/datasets/nvidia/OpenMathReasoning
+      3. ricdomolm/mini-coder-trajs-400k (split train) — MIT
+         https://huggingface.co/datasets/ricdomolm/mini-coder-trajs-400k
+      4. sarvamai/samvaad-hi-v1 (split train) — Apache-2.0
+         https://huggingface.co/datasets/sarvamai/samvaad-hi-v1
+      5. zake7749/OpenScience-Chinese-Reasoning-SFT (split train) — CC BY 4.0
+         https://huggingface.co/datasets/zake7749/OpenScience-Chinese-Reasoning-SFT
+  - Attribution: "OpenMathReasoning" by NVIDIA and "OpenScience-Chinese-Reasoning-SFT" by zake7749 are licensed
+    under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Excerpts were used as training prompts only;
+    the datasets themselves were not modified or redistributed.
+
+Third-party tooling used (no tooling code is included in this repository):
+  - llama.cpp (conversion, importance matrix, quantization, GGUF runtime) — MIT License
+    https://github.com/ggml-org/llama.cpp/blob/master/LICENSE
+  - PyTorch (BSD-3-Clause) and Hugging Face Transformers (Apache-2.0) for training
+
+Provided per Apache License 2.0 section 4(d) to preserve the parent's attribution notices. See LICENSE
+for the full license text governing this repository's contents.
+===== END SUB2 SOURCE NOTICE =====
+
+===== BEGIN SUB4 SOURCE NOTICE =====
+Source: https://huggingface.co/boweizh1204/qwen3-8b-ralph-sub4-c1b-20260910
+Scored revision: 3c21306c630dac6440b37ad67b965a4b9b787cf9
+License-document revision: 449619c6f50da88222e86867554cfcd759692661
+Mirrored file: ralph-qwen3-8b-sub4.gguf
+SHA-256: b2ec80dce90258bbe9555a67983dea595d91f35cae48ca0d54c714eae8100edf
+
+boweizh1204/qwen3-8b-ralph-sub4-c1b-20260910
+
+This repository contains a bit-compressed derivative of:
+
+  Qwen3-8B
+  Copyright 2024 Alibaba Cloud
+  Licensed under the Apache License, Version 2.0
+  https://huggingface.co/Qwen/Qwen3-8B
+
+Exact artifact covered by this notice:
+  model.gguf — 4,614,304,896 bytes, SHA-256 b2ec80dce90258bbe9555a67983dea595d91f35cae48ca0d54c714eae8100edf
+  Hugging Face revision 3c21306c630dac6440b37ad67b965a4b9b787cf9
+
+Modifications made by boweizh1204:
+  - Post-training weight re-storage of the parent's own weights: llama.cpp pure Q4_K quantization with an importance-matrix (imatrix) calibration computed on the bf16 parent at 2048-token context over an exam-proportional sample of public trajectory datasets. No retraining, distillation or architectural change.
+  - Bit tier: Ralph SN-40 v2 sub4 (gate: code bits <= 4.0 and container bits <= 5.0); validator-measured 4.0 code bits and 4.5 container bits per weight.
+
+Data used:
+  - Calibration (imatrix activation statistics only; no weights were trained on it and no dataset text is contained in
+    model.gguf): calib/mix_exam.txt, 1.2M Qwen3 tokens sampled from rows at index 4,000 onward of exactly five public
+    datasets, by token share:
+      glaiveai/reasoning-v1-20m (Apache-2.0) ............................ 34%
+      nvidia/OpenMathReasoning, tir split (CC-BY-4.0) .................... 20%
+      ricdomolm/mini-coder-trajs-400k (MIT) .............................. 13%
+      sarvamai/samvaad-hi-v1 (Apache-2.0) ................................ 17%
+      zake7749/OpenScience-Chinese-Reasoning-SFT (CC-BY-4.0) ............. 16%
+    nvidia/Nemotron-Post-Training-Dataset-v1, AlienKevin/SWE-ZERO-12M-trajectories and open-thoughts/AgentTrove were
+    NOT used to produce this artifact.
+
+Third-party tooling used:
+  - llama.cpp (GGUF format, imatrix and Q4_K quantization) — MIT License, https://github.com/ggml-org/llama.cpp/blob/master/LICENSE
+
+Provided per Apache License 2.0 section 4(d) to preserve the parent's attribution notices. See LICENSE
+for the full license text governing this repository's contents.
+===== END SUB4 SOURCE NOTICE =====

README.md

@@ -6,42 +6,145 @@ base_model: Qwen/Qwen3-8B
 tags: [gguf, conversational, qwen3, quantized, compression, bittensor]
 ---
 
-# Ralph crowns — Qwen3-8B
+<p align="center">
+  <img src="https://raw.githubusercontent.com/RalphLabsAI/ralph/main/docs/assets/ralph-banner.png"
+       alt="Ralph — open model compression on Bittensor SN40" width="100%">
+</p>
 
-The **reigning crowned compressions** from [Bittensor netuid 40](https://github.com/RalphLabsAI/ralph-v2),
-one file per bit tier. Every round re-scores the incumbents against a fresh exam; when a crown
-changes hands, the file here changes with it.
+# Ralph crowns — Qwen3-8B compressed in public
 
-| file | tier | bits/weight | size | retention | round | scored artifact |
-|---|---|---|---|---|---|---|
-| `ralph-qwen3-8b-binary.gguf` | binary | 1.0 | 1.15 GB | 0.263616 | 7 | [`ArizonaZZZ/ralph-v2-qwen3-8b-binary-p2A2-step500-05c56816`](https://huggingface.co/ArizonaZZZ/ralph-v2-qwen3-8b-binary-p2A2-step500-05c56816) @`29c525c5c316` |
-| `ralph-qwen3-8b-ternary.gguf` | ternary | 1.714 | 2.46 GB | 0.253732 | 5 | [`tensor-tailor/ralph-qwen3-8b-ternary-r5`](https://huggingface.co/tensor-tailor/ralph-qwen3-8b-ternary-r5) @`3e4096acf9ce` |
-| `ralph-qwen3-8b-sub2.gguf` | sub2 | 2.2626 | 2.88 GB | 0.282457 | 7 | [`boweizh1204/ralph-qwen3-8b-sub2-qat5`](https://huggingface.co/boweizh1204/ralph-qwen3-8b-sub2-qat5) @`261d535f67ba` |
-| `ralph-qwen3-8b-sub4.gguf` | sub4 | 4.0 | 4.61 GB | 0.320923 | 7 | [`boweizh1204/qwen3-8b-ralph-sub4-c1b-20260910`](https://huggingface.co/boweizh1204/qwen3-8b-ralph-sub4-c1b-20260910) @`3c21306c630d` |
+**Four downloadable GGUFs. One admitted Qwen3-8B architecture. Each file holds a current bit-tier
+crown in Ralph, the open model-compression tournament on Bittensor SN40.**
 
-## What "retention" is, and what it is not
+The files are published together so users have one stable place to download the current crowns,
+while the source builders and exact scored revisions remain visible.
 
-Retention measures how much of the **pinned parent's** effect on a third-party observer model each
-compression reproduces, aggregated over its **worst** slice of (observer x language x depth) rather
-than its average. It is a compression-fidelity measure. **It is not a capability benchmark**, and a
-high retention does not by itself mean a model is good at anything in particular.
+## Start here: the 2.94 GB sub2 crown
 
-Round record, with the exam, every per-sample measurement and the crown decision:
-https://huggingface.co/datasets/RalphLabsAI/ralph-v2-rounds/resolve/main/rounds/round-00000007-f42ae20c6ed2a796.json
+`ralph-qwen3-8b-sub2.gguf` is the first file we recommend for a phone test.
+
+| | |
+|---|---|
+| Exact size | 2,937,263,168 bytes (2.94 GB decimal) |
+| Code bits / weight | 2.2626 |
+| Crowned | Round 7 |
+| Embedded chat-template key | Yes |
+| SHA-256 | `9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50` |
+
+```bash
+hf download RalphLabsAI/ralph-crowns ralph-qwen3-8b-sub2.gguf --local-dir ./ralph-crowns
+llama-cli -m ./ralph-crowns/ralph-qwen3-8b-sub2.gguf -cnv --jinja   -p "Explain one practical use of low-bit quantization."
+```
+
+### Find it in PocketPal
+
+1. Open **Models → Add from Hugging Face**.
+2. Search for **RalphLabsAI**, then open **ralph-crowns**.
+3. Choose **ralph-qwen3-8b-sub2.gguf**.
+
+The repository is discoverable in PocketPal, but discoverability and an embedded template do not
+prove that a file will load, fit, or run well on every device. No official iPhone speed or broad
+compatibility claim is made yet. We are collecting reproducible successes and failures.
+
+## Current crowns — through Round 7
+
+| File | Tier | Code bits / weight | Exact size | Crown status | Retention at crown | Builder | Chat-template key |
+|---|---|---:|---:|---|---:|---|---|
+| `ralph-qwen3-8b-binary.gguf` | binary | 1.0 | 1,158,964,160 B | New in Round 7 | 0.263616 | [ArizonaZZZ](https://huggingface.co/ArizonaZZZ) | No |
+| `ralph-qwen3-8b-ternary.gguf` | ternary | 1.714 | 2,477,212,736 B | Crowned in Round 5; held in Round 7 | 0.253732 | [tensor-tailor](https://huggingface.co/tensor-tailor) | Yes |
+| `ralph-qwen3-8b-sub2.gguf` | sub2 | 2.2626 | 2,937,263,168 B | New in Round 7 | 0.282457 | [boweizh1204](https://huggingface.co/boweizh1204) | Yes |
+| `ralph-qwen3-8b-sub4.gguf` | sub4 | 4.0 | 4,614,304,896 B | New in Round 7 | 0.320923 | [boweizh1204](https://huggingface.co/boweizh1204) | Yes |
+
+### Exact checksums
+
+```text
+05c568169fc180067172cbdd38c1a9f5c249a556ffdef1dacd7172bad40fab58  ralph-qwen3-8b-binary.gguf
+c643cb42575a7a85b7518fd935973202c5686db270ef8b593afa8616a986154a  ralph-qwen3-8b-ternary.gguf
+9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50  ralph-qwen3-8b-sub2.gguf
+b2ec80dce90258bbe9555a67983dea595d91f35cae48ca0d54c714eae8100edf  ralph-qwen3-8b-sub4.gguf
+```
+
+The same filenames, byte counts, hashes, pinned sources, and chat-template flags are available in
+[`crowns.json`](./crowns.json).
+
+## What the crown means
+
+Ralph retention is a within-protocol compression-fidelity measurement: it measures how closely an
+artifact reproduces the pinned comparison parent's effect on configured judge models, including
+the protocol's live language/depth floors. It is **not** a general capability benchmark, an
+intelligence percentage, or evidence of device speed.
+
+Round 7 uses three recorded judges and a fresh public exam. A challenger takes a crown only through
+the protocol's recorded point-estimate margin or persistence path and must satisfy the per-judge
+floor rule. A positive paired-bootstrap lower bound can affect the candidate weight vector without
+changing the crown.
+
+- [Round 7 signed record](https://huggingface.co/datasets/RalphLabsAI/ralph-v2-rounds/resolve/main/rounds/round-00000007-f42ae20c6ed2a796.json)
+- [Round 5 record that crowned the current ternary](https://huggingface.co/datasets/RalphLabsAI/ralph-v2-rounds/resolve/main/rounds/round-00000005-25e6fd0528a93e74.json)
+- [Ralph protocol and verifier](https://github.com/RalphLabsAI/ralph)
 
 ## Provenance
 
-Each file is byte-identical to the artifact the round actually scored: it is downloaded from the
-miner's own repo at the **pinned commit** named in the signed record, re-hashed, and published only
-if the hash matches the `model_id` in that record. `crowns.json` carries the source repo and
-revision for every file, so you can fetch the original and check it yourself.
+The crown publisher fetches the miner's full behavior-affecting package at the **pinned revision**
+in the round record and recomputes its content hash. It mirrors the GGUF only when that hash matches
+the record's `model_id`; the GGUF is uploaded without conversion or repacking.
+
+For this release, the source owners subsequently added artifact-level Apache-2.0 declarations and
+notices. Hugging Face LFS metadata was checked again on 2026-09-14: every current source GGUF, scored
+revision, and mirrored file has the same SHA-256 shown above. The documentation commits did not
+change the models.
+
+Credit for the weights belongs to the builders named above and the miner hotkeys recorded in
+`crowns.json`. Ralph provides a content-verified mirror and tournament record; it is not the origin
+of the weights.
+
+Admission checks architecture and tensor shapes against `Qwen/Qwen3-8B`. They do not
+cryptographically prove lineage from the parent's weights; `base_model` identifies the pinned
+comparison and admission target.
+
+## License
+
+Each exact GGUF listed by checksum above is released under the **Apache License 2.0** by its source
+owner. This repository includes the license text in [`LICENSE`](./LICENSE) and preserves the four
+source notices in [`NOTICE`](./NOTICE).
+
+All four are compressed derivatives of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B),
+Copyright 2024 Alibaba Cloud, Apache-2.0. The binary crown also incorporates bit-exact signs from
+[prism-ml/Bonsai-8B-unpacked](https://huggingface.co/prism-ml/Bonsai-8B-unpacked), Apache-2.0.
+The source notices describe each modification, data provenance, and MIT-licensed `llama.cpp`
+tooling. Preserve `LICENSE`, `NOTICE`, source attribution, and modification statements when
+redistributing these files.
+
+The grant is tied here to the exact listed files and hashes. A future crown change requires a new
+artifact-level license check; this card does not grant terms on behalf of a future builder.
+
+## Running the other crowns
+
+For the ternary and sub4 files, replace the filename in the sub2 commands above. Runtime support
+depends on the exact quantization type, runtime build, backend, available memory, and context
+settings. Test the exact file on the target hardware before making compatibility or performance
+claims.
+
+The binary file has no embedded chat-template key, so this card does not prescribe a canonical
+chat command for it. Establish and report a tested external template/runtime combination without
+repacking or replacing the canonical bytes.
+
+## Help build the device evidence
+
+If you test a crown, share both successes and failures in the repository's **Community** tab. A
+useful receipt includes device model, OS and app version, exact GGUF filename, checksum status,
+context size, runtime settings, load result, prompt-processing speed, generation speed, and the
+exact failure if it did not run. Remove notifications, account identifiers, serial numbers, and
+other private device information from screenshots.
 
-Credit for the weights belongs to the miners named in `crowns.json`. This repo is a verified
-mirror with a stable name, not the origin.
+## Audit levels
 
-## Running them
+- **L0** verifies signatures and recomputes arithmetic, crown decisions, and candidate vectors from
+  published measurements.
+- **L1** re-derives item selection and checks the pinned pool.
+- **L2** re-runs a recorded judge over frozen text; complete multi-judge coverage requires every
+  recorded judge.
+- **L3** loads artifacts and regenerates their steps, binding frozen text to model execution.
 
-Any llama.cpp-based runner. On iPhone, [PocketPal AI](https://github.com/a-ghorbani/pocketpal-ai)
-and Enclave AI both load GGUF straight from the Hub — search this repo and pick a file by size.
-Note that an 8B at ~4.6 GB is close to the per-app memory ceiling on iOS and needs a Pro device;
-the smaller tiers are the ones that fit comfortably.
+L2/L3 require the recorded inputs and compatible runtimes. The records and verifier distinguish
+what can be checked from data alone from what requires inference hardware.

crowns.json

@@ -1,50 +1,66 @@
 {
- "binary": {
-  "code_bits": 1.0,
-  "container_bits": 1.125,
-  "miner": "5HMwB4rqW7MnawkfUFUX4FcRcBympynru587RhEZyY8ns43a",
-  "model_id": "e9f6bd656075dc9a4096d6f3da06441094334c2e058d22dc5409b404ccb1dd6a",
-  "record": "https://huggingface.co/datasets/RalphLabsAI/ralph-v2-rounds/resolve/main/rounds/round-00000007-f42ae20c6ed2a796.json",
-  "retention": 0.263616,
-  "round": 7,
-  "source_repo": "ArizonaZZZ/ralph-v2-qwen3-8b-binary-p2A2-step500-05c56816",
-  "source_revision": "29c525c5c3166df2d62d5e180d09255199f778fe",
-  "tier": "binary"
- },
- "sub2": {
-  "code_bits": 2.2626,
-  "container_bits": 2.81,
-  "miner": "5DeneVpvebmKrpegpoeBsCDFof5dTzgBFsgEfH3YKSKYWduh",
-  "model_id": "72136433b8f4613cf794a642b664b28dcbdf054f3e6499f8a6127f490da8cac1",
-  "record": "https://huggingface.co/datasets/RalphLabsAI/ralph-v2-rounds/resolve/main/rounds/round-00000007-f42ae20c6ed2a796.json",
-  "retention": 0.282457,
-  "round": 7,
-  "source_repo": "boweizh1204/ralph-qwen3-8b-sub2-qat5",
-  "source_revision": "261d535f67ba8e59f5d96ce7deeed98243ad8892",
-  "tier": "sub2"
- },
- "sub4": {
-  "code_bits": 4.0,
-  "container_bits": 4.5,
-  "miner": "5CPABbwvKphDTGP5qsAdpBNACNkoh3yhEBAtuwCYdYw9PZto",
-  "model_id": "d6e83ec7141a70eafe4f505ab6abf294ca346c015bd84f2e8faea6d1a72c6cab",
-  "record": "https://huggingface.co/datasets/RalphLabsAI/ralph-v2-rounds/resolve/main/rounds/round-00000007-f42ae20c6ed2a796.json",
-  "retention": 0.320923,
-  "round": 7,
-  "source_repo": "boweizh1204/qwen3-8b-ralph-sub4-c1b-20260910",
-  "source_revision": "3c21306c630dac6440b37ad67b965a4b9b787cf9",
-  "tier": "sub4"
- },
- "ternary": {
-  "code_bits": 1.714,
-  "container_bits": 2.3986,
-  "miner": "5HNA3Fegavpufa9CmAUn2Sm1NQu41LYWxGnrSp1twzSYiYbu",
-  "model_id": "ff244ec7ca827af53332b4758337641792596d8bca9d760ad34b56daeabcd523",
-  "record": "https://huggingface.co/datasets/RalphLabsAI/ralph-v2-rounds/resolve/main/rounds/round-00000005-25e6fd0528a93e74.json",
-  "retention": 0.253732,
-  "round": 5,
-  "source_repo": "tensor-tailor/ralph-qwen3-8b-ternary-r5",
-  "source_revision": "3e4096acf9ce1eb270ba3897b5d8396425a18884",
-  "tier": "ternary"
- }
-}
+  "binary": {
+    "chat_template_present": false,
+    "code_bits": 1.0,
+    "container_bits": 1.125,
+    "file_bytes": 1158964160,
+    "file_sha256": "05c568169fc180067172cbdd38c1a9f5c249a556ffdef1dacd7172bad40fab58",
+    "filename": "ralph-qwen3-8b-binary.gguf",
+    "miner": "5HMwB4rqW7MnawkfUFUX4FcRcBympynru587RhEZyY8ns43a",
+    "model_id": "e9f6bd656075dc9a4096d6f3da06441094334c2e058d22dc5409b404ccb1dd6a",
+    "record": "https://huggingface.co/datasets/RalphLabsAI/ralph-v2-rounds/resolve/main/rounds/round-00000007-f42ae20c6ed2a796.json",
+    "retention": 0.263616,
+    "round": 7,
+    "source_repo": "ArizonaZZZ/ralph-v2-qwen3-8b-binary-p2A2-step500-05c56816",
+    "source_revision": "29c525c5c3166df2d62d5e180d09255199f778fe",
+    "tier": "binary"
+  },
+  "sub2": {
+    "chat_template_present": true,
+    "code_bits": 2.2626,
+    "container_bits": 2.81,
+    "file_bytes": 2937263168,
+    "file_sha256": "9c45bf0ac486e793bd761a99ce4b9d965ec12e70f2d420e02af16797c71f6b50",
+    "filename": "ralph-qwen3-8b-sub2.gguf",
+    "miner": "5DeneVpvebmKrpegpoeBsCDFof5dTzgBFsgEfH3YKSKYWduh",
+    "model_id": "72136433b8f4613cf794a642b664b28dcbdf054f3e6499f8a6127f490da8cac1",
+    "record": "https://huggingface.co/datasets/RalphLabsAI/ralph-v2-rounds/resolve/main/rounds/round-00000007-f42ae20c6ed2a796.json",
+    "retention": 0.282457,
+    "round": 7,
+    "source_repo": "boweizh1204/ralph-qwen3-8b-sub2-qat5",
+    "source_revision": "261d535f67ba8e59f5d96ce7deeed98243ad8892",
+    "tier": "sub2"
+  },
+  "sub4": {
+    "chat_template_present": true,
+    "code_bits": 4.0,
+    "container_bits": 4.5,
+    "file_bytes": 4614304896,
+    "file_sha256": "b2ec80dce90258bbe9555a67983dea595d91f35cae48ca0d54c714eae8100edf",
+    "filename": "ralph-qwen3-8b-sub4.gguf",
+    "miner": "5CPABbwvKphDTGP5qsAdpBNACNkoh3yhEBAtuwCYdYw9PZto",
+    "model_id": "d6e83ec7141a70eafe4f505ab6abf294ca346c015bd84f2e8faea6d1a72c6cab",
+    "record": "https://huggingface.co/datasets/RalphLabsAI/ralph-v2-rounds/resolve/main/rounds/round-00000007-f42ae20c6ed2a796.json",
+    "retention": 0.320923,
+    "round": 7,
+    "source_repo": "boweizh1204/qwen3-8b-ralph-sub4-c1b-20260910",
+    "source_revision": "3c21306c630dac6440b37ad67b965a4b9b787cf9",
+    "tier": "sub4"
+  },
+  "ternary": {
+    "chat_template_present": true,
+    "code_bits": 1.714,
+    "container_bits": 2.3986,
+    "file_bytes": 2477212736,
+    "file_sha256": "c643cb42575a7a85b7518fd935973202c5686db270ef8b593afa8616a986154a",
+    "filename": "ralph-qwen3-8b-ternary.gguf",
+    "miner": "5HNA3Fegavpufa9CmAUn2Sm1NQu41LYWxGnrSp1twzSYiYbu",
+    "model_id": "ff244ec7ca827af53332b4758337641792596d8bca9d760ad34b56daeabcd523",
+    "record": "https://huggingface.co/datasets/RalphLabsAI/ralph-v2-rounds/resolve/main/rounds/round-00000005-25e6fd0528a93e74.json",
+    "retention": 0.253732,
+    "round": 5,
+    "source_repo": "tensor-tailor/ralph-qwen3-8b-ternary-r5",
+    "source_revision": "3e4096acf9ce1eb270ba3897b5d8396425a18884",
+    "tier": "ternary"
+  }
+}