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quark-torch-llm-eval

End-to-end LLM accuracy evaluation on AMD ROCm (ROCm-only) — docker container setup OR host (no-docker) runtime, vLLM/SGLang/ATOM serving, lm-eval / lighteval…

Skill by amd

IndexedMIT★ 186
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/amd-quark-torch-llm-eval

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

End-to-end LLM accuracy evaluation on AMD ROCm (ROCm-only) — docker container setup OR host (no-docker) runtime, vLLM/SGLang/ATOM serving, lm-eval / lighteval / evalscope benchmarks. Use when the user wants to evaluate, benchmark, or compare an LLM's accuracy. Trigger for "evaluate this model", "run gsm8k/mmlu/mmlu_pro/aime/gpqa/hellaswag/arc", "test accuracy", "measure perplexity", "compare quantized model accuracy", "does this mxfp4 model lose accuracy".

Use cases: testing, devops, ml

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/quark-torch-llm-eval

What's inside

Skill name
quark-torch-llm-eval
Description
End-to-end LLM accuracy evaluation on AMD ROCm (ROCm-only) — docker container setup OR host (no-docker) runtime, vLLM/SGLang/ATOM serving, lm-eval / lighteval / evalscope benchmarks. Use when the user wants to evaluate, benchmark, or compare an LLM's accuracy. Trigger for "evaluate this model", "run gsm8k/mmlu/mmlu_pro/aime/gpqa/hellaswag/arc", "test accuracy", "measure perplexity", "compare quantized model accuracy", "does this mxfp4 model lose accuracy".
License
MIT
Instructions
5 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

<!-- Discovery adapter; keep name and description aligned with the canonical skill. -->

Read and follow [the authoritative skill instructions](../../../skills/quark-torch-llm-eval/SKILL.md).

From amd/Quark, MIT.

More from amd/Quark

Signals

Stars
186
Forks
36
Open issues
3
Last commit (this folder)
Sep 28, 2026 (1 month ago)
Last release
Sep 28, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Repository
github.com/amd/Quark
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

Same skill elsewhere

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Cite this page

quark-torch-llm-eval skill. Agent Mart. https://agentmart.dev/skills/amd-quark-torch-llm-eval (last updated 2026-10-24)