com.getrigbase由 getrigbase.com 发布官方发布者v1.0.1更新于 Nov 7, 2026
Measured local-LLM tok/s on home AI rigs. Search builds, can-it-run, best GPU; sourced + linked.
RigBase 让助手查询真实家用 AI 主机上实测的本地大模型每秒生成速度，结果带来源链接，并提供显存适配估算。
Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/com.getrigbase%2Frigbase/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。
{
"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.
来源：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必填已满足适用检查项的 100%
该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。
# 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))