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FR-AI / ANALYSISWhy it is worth attention
Demonstrates a reproducible, lightweight method for validating GGUF artifact structure and cross-quantization equivalence without transferring large model files.
Who it is for
- ML model deployers verifying GGUF artifacts
- Open-weight model auditors
- GGUF format tool developers
- Researchers studying reproducible validation workflows
Use cases
- Verifying structural integrity of split GGUF models before download
- Comparing structural equivalence across quantization variants
- Generating bounded validation reports with digest-linked evidence
- Reproducing validation runs using provided scripts and manifests
Strengths
- Zero tensor payload download reduces bandwidth and storage cost
- Compact deterministic summaries with digest-linked evidence metadata
- Cross-quantization structural equivalence confirmed for 2,573 descriptors
- Fully reproducible with provided scripts and manifests
Considerations
- Does not validate numerical correctness, model quality, or safety
- Artifact-specific provenance unavailable; payload integrity not checked
- Only covers two specific GGUF variants from a single artifact revision
README quick start
Kimi K3 GGUF Structural Validation Report
Independent structural validation of UD-IQ1_M and UD-Q4_K_XL without downloading tensor payloads.
This case study records evidence-backed structural validation of two split GGUF
variants from unsloth/Kimi-K3-GGUF at immutable artifact revision 3d4b61ab4b6789d401191c476cbb4567246db8f5.
It publishes a bounded report, compact deterministic summaries, digest-linked
evidence metadata, and a verifier for this public package.
Results
- UD-IQ1_M:
STRUCTURALLY_VALIDATED_WITH_LIMITATIONS - UD-Q4_K_XL:
STRUCTURALLY_VALIDATED_WITH_LIMITATIONS - Cross-quantization comparison:
STRUCTURALLY_EQUIVALENT_WITH_QUANTIZATION_DIFFERENCES - Both variants contain 2,573 descriptors; their normalized identities and shapes match. Remote inspection accepted zero tensor payload bytes.
Evidence limitations
Artifact-specific provenance is UNAVAILABLE. Payload equality and integrity,
quantization fidelity, tokenizer parity, and runtime parity are NOT_CHECKED.
The findings do not establish numerical correctness, model quality, benchmark
performance, safety, deployment fitness, or validation of the full Kimi release.
Contents
- Full report
- Evidence manifest
- Claim registry
- Reproducibility manifest
- Public artifact index
- IQ1_M summary
- Q4 summary
- Structural comparison
- Reproduction guide
Relationship to OMIV
This repository contains the public case-study report, evidence summaries, and reproducibility metadata generated from an OMIV validation run. The OMIV validation engine is maintained separately.
Acknowledgements
Moonshot AI developed and released the Kimi K3 architecture. Unsloth published the compared GGUF variants. llama.cpp and GGML maintainers provide format, conversion, and quantization infrastructure. The broader open-model community supports review and interoperability. Acknowledgement does not imply endorsement.
Licensing
Original report, evidence summaries, this README, reproduction documentation, and community drafts are license
Description
Evidence-backed structural validation of Kimi K3 UD-IQ1_M and UD-Q4_K_XL split GGUF releases using OMIV.
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