
AI Hardware Fit — 내 GPU에서 돌아가는 AI 모델 찾기
查看 GPU 兼容的 LLM 模型及成本预算方案。
jaeseok614 · HN
Open-source calculator for "will my GPU run this LLM?"
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查看 GPU 兼容的 LLM 模型及成本预算方案。
jaeseok614 · HN
Open-source calculator for "will my GPU run this LLM?"

使用 WebGPU 在浏览器中直接运行 Hugging Face ONNX 模型。
granganath · HN
Glaux – Browser-Only AI for Hugging Face ONNX Community Models

检测LLM API是否被降智或偷换模型,一键跑6项探针得出结果
cocodot LLM 降智检测 — 免费的 LLM API「降智/偷换模型」在线检测:填入任意 OpenAI 兼容端点的 base_url 和临时 API Key,跑 6 项探针(模型声明、动态题、能力完整性等)生成分项报告;Key 仅用于当次检测、不落库不留存,检测方法[开源](https://github.com/cocodot2026/cocodot-llmprobe)

TokenLab MCP:对比 LLM 价格,访问 31-80 个多模态工具。
tokenlabai · HN
TokenLab MCP, model discovery, pricing, and native AI endpoint tools

观看两个 LLM 在物理竞技场剑战,盲投选择更聪明的。
u/Time-Shelter-35 · Reddit
I built a site where two LLMs sword-fight in real physics and you blind-vote who's smarter Two months ago I thought: what if the AI benchmark was just… watching them fight. So: https://stickblade-arena.vercel.app Two random LLMs get stickman bodies in a pymunk physics arena They each turn output JSON moves (swing, block, dash, shoot bow, throw flail…) Ragdolls, momentum, weapon collisions, the whole bit You watch the replay without knowing which model is which and vote who f

引导LLM在最少步骤内逃离沙箱。
u/smakosh · Reddit
I made a game where an LLM has to escape a sandbox, and every move it makes is a real billed API call https://reddit.com/link/1vjv3lw/video/rvv7hiuprdih1/player Link: https://chat.llmgateway.io/escape/r/aqX41BDwlrje2tX5Me15 submitted by /u/smakosh to r/SideProject [link] [comments]

AcruxCore is an LLM-ops platform for engineering teams: version prompts, route LLM calls through an OpenAI-compatible gateway, trace every request, catalog tools, and evaluate qual
@AcruxCore · X