Individual skill

quantized-export

Export a promoted fine-tuned model in the right deployment format — merged safetensors, LoRA-only, GGUF with imatrix, or FP8. Use after a checkpoint passes promotion, when choosing a quantization format for a target device, or when an exported model fails its smoke test.

plugins/llm-finetuning/skills/quantized-export/SKILL.md

Read pinned source

Source commit 4bde3168b43c0655c4d00ea2726e631719908a6d

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
No
Observed behavior
Not checked yet
Last checked
Nov 7, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
42,305
Repository last updated
Nov 5, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Quantized Export

The last stop after `checkpoint-promotion`
hands off a `PROMOTE` verdict: a checkpoint
that cleared the four-stage gate still isn't
deployed until it's exported in the right
format for its target runtime and proven to
still work post-export. A `REJECT` verdict
never reaches this skill — export starts only
from a promoted checkpoint.

**Input:** a promoted checkpoint (or LoRA
adapter) plus the target deployment surface —
GPU class, serving stack, and whether