quantized-export SKILL.md skillA
quantized-export from wshobson/agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wshobson/agents/quantized-export@git:20260714.baa5bd7Pins git:20260714.baa5bd7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wshobson/agents
- Path
plugins/llm-finetuning/skills/quantized-export/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260714.baa5bd7, committed Jul 14, 2026
- Size
- 7,979 bytes
- Repository stars
- 42,320
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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 long-context/code/math workloads are in scope. **Output format:** an exported artifact in the chosen format plus a smoke-test diff report comparing 3–5 golden outputs pre-export and post-export. ## Format Map Pick format by hardware and deployment shape, not by habit — the wrong pick either wastes throughput headroom or breaks silently on specific workloads (see Workload Overrides). - **FP8 is the default on Hopper-class GPUs and newer.** It preserves near-bf16 quality at roughly half the memory, and it's the safe first choice whenever the target GPU supports it and no edge-device constraint applies. - **AWQ INT4 targets older GPUs** that predate FP8 hardware support. **GPTQ is superseded …
Read the whole file at its exact version.
How to install
mdr add wshobson/agents/quantized-export@sha256:3dd467b79dcf2218The line at the top of this page pins the label git:20260714.baa5bd7, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_i27q7h4ted5sdxzt)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 14, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7979 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
wshobson/agents · 42,320 stars · license MIT · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_i27q7h4ted5sdxzt GET https://markdownregistry.com/api/v1/resolve?ref=wshobson/agents/quantized-export GET https://markdownregistry.com/api/v1/blob/3dd467b79dcf2218f3655a205cc4756bfe9b91f1a8ba1492011db0dced6615ad
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.