com.getrigbase由 getrigbase.com 發布官方發布者v1.0.1更新於 Nov 7, 2026
Measured local-LLM tok/s on home AI rigs. Search builds, can-it-run, best GPU; sourced + linked.
RigBase 讓助理查詢真實家用 AI 主機上實測的本地大型語言模型每秒生成速度，結果附來源連結，並提供 VRAM 相容性估算。
Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/com.getrigbase%2Frigbase/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"rigbase": {
"type": "http",
"url": "https://getrigbase.com/mcp"
}
}
}Measured local-LLM speeds on real home hardware.
getrigbase.com · Live download · Hugging Face · Licence: CC BY 4.0
This repository mirrors the free RigBase dataset:
Every number links to its original public source (llama.cpp discussions, llama-bench databases, blogs, GitHub repos, Mia's AI Lab recipes, and similar). RigBase collects and normalises these numbers; it does not re-measure them or invent estimates for the tps column.
builds.csv — one row per measured result (358 rows)builds.json — one object per build with parts + nested resultsLICENSE — CC BY 4.0CITATION.cff — machine-readable citationFull column notes: https://getrigbase.com/data/
spec_decode == "none" for plain decode speed.Required by CC BY 4.0:
RigBase (getrigbase.com), CC BY 4.0. Each row keeps its original source URL.
Please also keep or cite the per-row source URL when you reuse an individual number.
The live files at https://getrigbase.com/data/ are the source of truth. This GitHub mirror is refreshed when the site dataset changes. Issues and PRs that fix a sourced number (with a link) are welcome.
來源：README.md，提交 769ef7b
Search RigBase measured home AI builds. Filter by GPU name, model name, minimum VRAM (GB), and/or maximum build cost. Returns top matches with tok/s, quant, engine, source credit and canonical getrigbase.com URL. Never invents numbers.
gpulimitmodelcurrencymax_pricemin_vram_gbAsk whether a given GPU setup can run a model. Returns measured RigBase results when available; otherwise a VRAM-fit estimate clearly labelled as an estimate (weights arithmetic, not a measured speed). Advises against quants below Q4. Always includes source credit and URLs for measured rows.
gpu必填countmodel必填quantReturn the fastest measured RigBase result for a model, plus tok/s per euro where a build cost or known GPU street price exists. Includes source credit and canonical URL.
limitmodel必填Fetch one RigBase build by slug (e.g. "dual-3090-ryzen-3700x"). Returns parts, measured results, source credit and canonical URL.
slug必填已滿足適用檢查項的 100%
該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。
# CSVcurl -LO https://getrigbase.com/data/builds.csv
# Or clone this repogit clone https://github.com/getrigbase/rigbase-data.gitimport pandas as pddf = pd.read_csv("builds.csv")# Plain decode only (drop speculative / MTP / draft runs):plain = df[df["spec_decode"].fillna("none").eq("none")]print(plain.groupby("model")["tps"].max().sort_values(ascending=False).head(10))