| RalphLabsAI/ralph-crowns |
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| 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. |
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|
| 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. |
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|
| ===== 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. |
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|
| 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 |
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| tensor-tailor/ralph-qwen3-8b-ternary-r5 |
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| This repository contains a bit-compressed derivative of: |
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| 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 |
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| 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. |
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| 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 |
|
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| 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 ===== |
|
|
