SageMaker Serving Image Selection
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
Validate changed quantization math, packed formats, and inference kernels against a Torch oracle; adjudicate near-tie mismatches before rejecting optimized arithmetic.
Install Gptqmodel Torch Oracle Numerics
$ npx skills add ModelCloud/GPTQModel --skill gptqmodel-torch-oracle-numerics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ModelCloud/GPTQModel gptqmodel-torch-oracle-numerics --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ModelCloud/GPTQModel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/gptqmodel-torch-oracle-numerics .claude/skills/gptqmodel-torch-oracle-numerics && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "gptqmodel-torch-oracle-numerics" agent skill from https://github.com/ModelCloud/GPTQModel/tree/main/.agents/skills/gptqmodel-torch-oracle-numerics into .claude/skills/gptqmodel-torch-oracle-numerics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gptqmodel-torch-oracle-numerics", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ModelCloud/GPTQModel/tree/main/.agents/skills/gptqmodel-torch-oracle-numericsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ModelCloud/GPTQModel --skill gptqmodel-torch-oracle-numerics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ModelCloud/GPTQModel gptqmodel-torch-oracle-numerics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ModelCloud/GPTQModel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/gptqmodel-torch-oracle-numerics .agents/skills/gptqmodel-torch-oracle-numerics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gptqmodel-torch-oracle-numerics" agent skill from https://github.com/ModelCloud/GPTQModel/tree/main/.agents/skills/gptqmodel-torch-oracle-numerics into .agents/skills/gptqmodel-torch-oracle-numerics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gptqmodel-torch-oracle-numerics", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ModelCloud/GPTQModel --skill gptqmodel-torch-oracle-numerics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ModelCloud/GPTQModel gptqmodel-torch-oracle-numerics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ModelCloud/GPTQModel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/gptqmodel-torch-oracle-numerics .cursor/skills/gptqmodel-torch-oracle-numerics && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gptqmodel-torch-oracle-numerics" agent skill from https://github.com/ModelCloud/GPTQModel/tree/main/.agents/skills/gptqmodel-torch-oracle-numerics into .cursor/skills/gptqmodel-torch-oracle-numerics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gptqmodel-torch-oracle-numerics", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ModelCloud/GPTQModel.git --path .agents/skills/gptqmodel-torch-oracle-numerics--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ModelCloud/GPTQModel --skill gptqmodel-torch-oracle-numerics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ModelCloud/GPTQModel gptqmodel-torch-oracle-numerics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ModelCloud/GPTQModel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/gptqmodel-torch-oracle-numerics .gemini/skills/gptqmodel-torch-oracle-numerics && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gptqmodel-torch-oracle-numerics" agent skill from https://github.com/ModelCloud/GPTQModel/tree/main/.agents/skills/gptqmodel-torch-oracle-numerics into .gemini/skills/gptqmodel-torch-oracle-numerics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gptqmodel-torch-oracle-numerics", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ModelCloud/GPTQModel gptqmodel-torch-oracle-numericsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ModelCloud/GPTQModel --skill gptqmodel-torch-oracle-numerics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ModelCloud/GPTQModel.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/gptqmodel-torch-oracle-numerics .github/skills/gptqmodel-torch-oracle-numerics && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gptqmodel-torch-oracle-numerics" agent skill from https://github.com/ModelCloud/GPTQModel/tree/main/.agents/skills/gptqmodel-torch-oracle-numerics into .github/skills/gptqmodel-torch-oracle-numerics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gptqmodel-torch-oracle-numerics", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ModelCloud/GPTQModel --skill gptqmodel-torch-oracle-numerics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ModelCloud/GPTQModel gptqmodel-torch-oracle-numerics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ModelCloud/GPTQModel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/gptqmodel-torch-oracle-numerics .opencode/skills/gptqmodel-torch-oracle-numerics && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gptqmodel-torch-oracle-numerics" agent skill from https://github.com/ModelCloud/GPTQModel/tree/main/.agents/skills/gptqmodel-torch-oracle-numerics into .opencode/skills/gptqmodel-torch-oracle-numerics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gptqmodel-torch-oracle-numerics", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
gptqmodel-torch-oracle-numerics- GitHub stars
- 1.3k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 721 words
- Files
- 1
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Validate changed quantization math, packed formats, and inference kernels against a Torch oracle; adjudicate near-tie mismatches before rejecting optimized arithmetic.
- Tasks that involve LLM inference and serving
- SKILL.md covers Acceptance limits and Quantization boundary cases
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Gptqmodel Torch Oracle Numerics is an agent skill from ModelCloud/GPTQModel. Validate changed quantization math, packed formats, and inference kernels against a Torch oracle; adjudicate near-tie mismatches before rejecting optimized arithmetic.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering LLM inference and serving. It works with SGLang and vLLM. The repository describes itself as: LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.
When your agent uses it
- Tasks that involve LLM inference and serving
Example prompts
- “/gptqmodel-torch-oracle-numerics”
What it can do on your machine
Read from SKILL.md and the folder at commit 411d040. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Gptqmodel Torch Oracle Numerics loads about 1.4k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 721 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 721 words (~1,351 tokens).
“Apply this skill when adding or changing quantization math, a weight packer, or an inference kernel, regardless of backend or performance intent. Build deterministic A/B unit tests that feed the same inputs and configuration to the changed path and a…”
- name
- gptqmodel-torch-oracle-numerics
Files
Just SKILL.md in .agents/skills/gptqmodel-torch-oracle-numerics of ModelCloud/GPTQModel.
Open the folder on GitHubat commit 411d040
Compare with similar skills
Gptqmodel Torch Oracle Numerics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Gptqmodel Torch Oracle Numerics this skillModelCloud/GPTQModel | 1.3k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Dstack Prototypingdstackai/dstack | 2.3k | — | ~1.6k | Automated safety check: Pass | MPL-2.0 | |
| Debug InferenceNVIDIA/OpenShell | 16k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Graphsignalgraphsignal/graphsignal | 257 | — | ~6.2k | Automated safety check: Pass | Apache-2.0 | |
| One EvalOpenDCAI/One-Eval | 165 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
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- Official
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dstackai/dstack
Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven.
- Official
Debug Inference
NVIDIA/OpenShell
Debug inference clients that use an attached provider and its native endpoint, including hosted APIs and host-local Ollama, vLLM, SGLang, TRT-LLM, LM Studio, or NIM.
Graphsignal
graphsignal/graphsignal
Profile AI inference workloads (vLLM, SGLang, TensorRT-LLM, PyTorch, any GPU application) with the Graphsignal profiler and read the results from its local /signals JSON endpoint.
One Eval
OpenDCAI/One-Eval
驱动 One-Eval 对 API 或本地模型做端到端评测，覆盖纯文本、多模态、代码生成、函数调用和 Agent benchmark。当用户想评测模型在一个或多个 benchmark 上的表现、比较分数、补充 metric，或生成图文评测报告时使用本 skill。
LLM Torch Profiler Trace Analysis
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Related
Categories
Questions about Gptqmodel Torch Oracle Numerics
What does Gptqmodel Torch Oracle Numerics do?
Validate changed quantization math, packed formats, and inference kernels against a Torch oracle; adjudicate near-tie mismatches before rejecting optimized arithmetic. Gptqmodel Torch Oracle Numerics is an agent skill from ModelCloud/GPTQModel. Validate changed quantization math, packed formats, and inference kernels against a Torch oracle; adjudicate near-tie mismatches before rejecting optimized arithmetic.
When should I use Gptqmodel Torch Oracle Numerics?
Gptqmodel Torch Oracle Numerics fits situations like: tasks that involve LLM inference and serving.
How do I install Gptqmodel Torch Oracle Numerics in Claude Code?
Run `npx skills add ModelCloud/GPTQModel --skill gptqmodel-torch-oracle-numerics -a claude-code`. Or copy the skill folder (.agents/skills/gptqmodel-torch-oracle-numerics in ModelCloud/GPTQModel) into .claude/skills/gptqmodel-torch-oracle-numerics in your project. Claude Code loads it when a task matches its description.
How do I install Gptqmodel Torch Oracle Numerics in Codex?
Run `npx skills add ModelCloud/GPTQModel --skill gptqmodel-torch-oracle-numerics -a codex`. Or copy the skill folder (.agents/skills/gptqmodel-torch-oracle-numerics in ModelCloud/GPTQModel) into .agents/skills/gptqmodel-torch-oracle-numerics in your project. Codex loads it when a task matches its description.
Can I use Gptqmodel Torch Oracle Numerics in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ModelCloud/GPTQModel --skill gptqmodel-torch-oracle-numerics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gptqmodel-torch-oracle-numerics, .gemini/skills/gptqmodel-torch-oracle-numerics, .github/skills/gptqmodel-torch-oracle-numerics and .opencode/skills/gptqmodel-torch-oracle-numerics in your project.
What does Gptqmodel Torch Oracle Numerics need to run?
SKILL.md names no scripts, command-line tools or credentials: Gptqmodel Torch Oracle Numerics is instructions for the agent only.
Does Gptqmodel Torch Oracle Numerics access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Gptqmodel Torch Oracle Numerics safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Gptqmodel Torch Oracle Numerics use?
Gptqmodel Torch Oracle Numerics has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Gptqmodel Torch Oracle Numerics use?
About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Gptqmodel Torch Oracle Numerics?
Skills that share tags, products or a category with Gptqmodel Torch Oracle Numerics: SageMaker Serving Image Selection (huggingface/skills, 11k stars), Dstack Prototyping (dstackai/dstack, 2.3k stars), Debug Inference (NVIDIA/OpenShell, 16k stars) and Graphsignal (graphsignal/graphsignal, 257 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Gptqmodel Torch Oracle Numerics?
ModelCloud (a GitHub organization) maintains it in ModelCloud/GPTQModel, which has 1,270 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 9, 2026.
Source: ModelCloud/GPTQModel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.