Source snapshot and authority

Defines the exact implementation source package reviewed by MiRust, its hashes, inventory, authority boundaries, and the difference between source presence and deployment proof.

Experimental
Last verified
2026-06-25 00:00 UTC
Updated
Reading time
2 minutes

Defines the exact implementation source package reviewed by MiRust, its hashes, inventory, authority boundaries, and the difference between source presence and deployment proof.

Implementation evidence: this topic is grounded in the reviewed GGUF.MiRust.com source snapshot. It documents observed code and artifacts without claiming broad deployment, model quality, or production readiness.

Reviewed snapshot

Archive
GGUF.MiRust.com-20260625.zip
Archive SHA-256
bd47fe8e91db5f5e5674ae4d77520b44248ab52117b170b345e1a0c87e636629
Extracted files
141 files totaling 97,964,528 bytes.
Tree-manifest SHA-256
1e017449eea9f70916ef5afd225d0ff7a4d3dc68292b41b6c7ddd81b914191e0
Review date
2026-06-25 UTC.

Authority order

The inspected source and binary artifacts govern implementation statements. Repository prose is treated as a claim to compare with code, not as proof by itself. Supplied provenance manifests govern artifact intent. MiRust editorial summaries are secondary.

Evidence labels

Implementation evidence labels
Label Meaning
Source present The relevant source files exist in the reviewed archive.
Artifact present A compiled or serialized artifact exists and its bytes were hashed.
Source-reported test The source package records a test result, but it was not rerun here.
Locally rechecked A bounded check was independently rerun against supplied bytes.
Not verified No compatible execution or measurement evidence was available.

Boundary

This snapshot is not a public deployment audit, security certification, trained-model quality assessment, browser-compatibility matrix, or performance benchmark.

Scope

This starter page defines the questions, boundaries, evidence, and failure modes that should be recorded before a capability is presented as supported.

Engineering considerations

  • Identify the source, version, target environment, and owner.
  • Separate observed values from estimates and externally reported values.
  • Record trade-offs, unsupported cases, and fallback behavior.
  • Link performance statements to a compatible benchmark methodology.

Verification questions

  • What exact artifact, revision, backend, and environment were reviewed?
  • Which assumptions could change the result?
  • Which data should be retained so another engineer can reproduce the conclusion?