gguf-quantization SKILL.md skillA
This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.
gguf-quantization from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add orchestra-research/ai-research-skills/gguf-quantization@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- orchestra-research/ai-research-skills
- Path
10-optimization/gguf/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Nov 25, 2025
- Size
- 10,320 bytes
- Repository stars
- 13,718
- License
- MIT
GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.
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
# GGUF - Quantization Format for llama.cpp The GGUF (GPT-Generated Unified Format) is the standard file format for llama.cpp, enabling efficient inference on CPUs, Apple Silicon, and GPUs with flexible quantization options. ## When to use GGUF **Use GGUF when:** - Deploying on consumer hardware (laptops, desktops) - Running on Apple Silicon (M1/M2/M3) with Metal acceleration - Need CPU inference without GPU requirements - Want flexible quantization (Q2_K to Q8_0) - Using local AI tools (LM Studio, Ollama, text-generation-webui) **Key advantages:** - **Universal hardware**: CPU, Apple Silicon, NVIDIA, AMD support - **No Python runtime**: Pure C/C++ inference - **Flexible quantization**: 2-8 bit with various methods (K-quants) - **Ecosystem support**: LM Studio, Ollama, koboldcpp, and more - **imatrix**: Importance matrix for better low-bit quality **Use alternatives instead:** - **AWQ/GPTQ**: Maximum accuracy with calibration on NVIDIA GPUs - **HQQ**: Fast calibration-free quantization for HuggingFace - **bitsandbytes**: Simple integration with transformers library - **TensorRT-LLM**: Production NVIDIA deployment with maximum speed ## Quick start ### Installation ```bash …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/gguf-quantization@sha256:11016e03b2b53c9aThe line at the top of this page pins the label v1.0.0, 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_w2mn5gkjghu7b5l5)
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Versions
The registry has recorded 1 version of this file, committed on Nov 25, 2025.
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 (10320 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
orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_w2mn5gkjghu7b5l5 GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/gguf-quantization GET https://markdownregistry.com/api/v1/blob/11016e03b2b53c9a981f1ef7df96b078daf9bc929126ccf36377b86bb7025224
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.
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