Deploy prebuilt CompactLMIndex
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- README.md +71 -7
- build/_app/immutable/assets/0.uHywWbNV.css +1 -0
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- build/_app/version.json +1 -0
- build/index.html +50 -0
- package-lock.json +1438 -0
- package.json +18 -0
- src/app.css +1034 -0
- src/app.html +15 -0
- src/lib/example-leaderboard.json +45 -0
- src/lib/leaderboard.json +0 -0
- src/routes/+layout.js +1 -0
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DEPLOYMENT.md
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README.md
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---
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title:
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sdk: static
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short_description: Chance-normalized evaluation of compact language models.
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---
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---
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title: Compact Language Model Index
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emoji: 📊
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colorFrom: indigo
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colorTo: blue
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app_file: build/index.html
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short_description: Chance-normalized evaluation of compact language models.
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---
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# Compact Language Model Index
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CompactLMIndex is a curated benchmark for smaller language models. It uses one
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fixed protocol to compare models across commonsense reasoning, science and
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world knowledge, and grammatical competence.
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## Evaluation suite
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The published composite includes six benchmarks:
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| Area | Benchmark |
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| --- | --- |
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| Situational commonsense | HellaSwag |
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| Physical commonsense | PIQA |
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| Science and world knowledge | ARC-Easy |
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| Science and world knowledge | ARC-Challenge |
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| Conceptual commonsense | CommonsenseQA |
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| Grammatical competence | BLiMP |
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All models use zero-shot, non-chat log-likelihood prompts. A complete run of
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the core suite is required for a model to receive a rank.
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## Scoring
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Each benchmark score is normalized for random chance:
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```text
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100 × (accuracy − chance) / (1 − chance)
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```
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Random performance maps to 0 and perfect performance maps to 100. Scores
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below chance remain negative.
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The composite is domain-balanced:
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- commonsense: 50%, split equally between HellaSwag, PIQA, and CommonsenseQA;
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- science and world knowledge: 25%, with ARC-Easy contributing 75% and
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ARC-Challenge 25% within that domain;
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- grammatical competence: 25%, from BLiMP.
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BLiMP is macro-averaged across its 12 linguistic categories. CommonsenseQA
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scores the full answer text with length normalization rather than answer labels
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such as A–E.
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## Uncertainty and ranking
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Every displayed benchmark and composite interval is a 95% percentile bootstrap
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interval. Model comparisons use paired bootstrap resampling on matched
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evaluation items. Rank ranges show when neighbouring models cannot be reliably
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distinguished under those comparisons.
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## Scope and inclusion
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CompactLMIndex is curated rather than an open intake list. Published results
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are checked against their saved evaluation artifacts, and final inclusion and
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presentation decisions remain with Universal Computing Research.
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If you have results for a model that fits the benchmark scope, open a
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discussion on this Space for consideration.
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## Credits
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Inspired by the [Open LLM Leaderboard](https://huggingface.co/open-llm-leaderboard),
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[Axiomic Labs Open SLM Leaderboard](https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard),
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and [OpenAI Parameter Golf](https://github.com/openai/parameter-golf).
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build/_app/immutable/chunks/Cx7tSjKg.js
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WeakMap,gt),oe=new(mt=class{constructor(){U(this,pe,T(null))}get current(){return I(y(this,pe))}set current(t){P(y(this,pe),t)}},pe=new WeakMap,mt),je=new(_t=class{constructor(){U(this,ge,T(!1))}get current(){return I(y(this,ge))}set current(t){P(y(this,ge),t)}},ge=new WeakMap,_t),qt.v=()=>je.current=!0);function Dt(e){Object.assign(L,e)}export{Nn as a,jn as l,L as p,j as s};
|
build/_app/immutable/chunks/wbPk3Yxo.js
ADDED
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@@ -0,0 +1,81 @@
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| 1 |
+
const e=({status:n,message:t})=>`<!doctype html>
|
| 2 |
+
<html lang="en">
|
| 3 |
+
<head>
|
| 4 |
+
<meta charset="utf-8" />
|
| 5 |
+
<title>`+t+`</title>
|
| 6 |
+
|
| 7 |
+
<style>
|
| 8 |
+
body {
|
| 9 |
+
--bg: white;
|
| 10 |
+
--fg: #222;
|
| 11 |
+
--divider: #ccc;
|
| 12 |
+
background: var(--bg);
|
| 13 |
+
color: var(--fg);
|
| 14 |
+
font-family:
|
| 15 |
+
system-ui,
|
| 16 |
+
-apple-system,
|
| 17 |
+
BlinkMacSystemFont,
|
| 18 |
+
'Segoe UI',
|
| 19 |
+
Roboto,
|
| 20 |
+
Oxygen,
|
| 21 |
+
Ubuntu,
|
| 22 |
+
Cantarell,
|
| 23 |
+
'Open Sans',
|
| 24 |
+
'Helvetica Neue',
|
| 25 |
+
sans-serif;
|
| 26 |
+
display: flex;
|
| 27 |
+
align-items: center;
|
| 28 |
+
justify-content: center;
|
| 29 |
+
height: 100vh;
|
| 30 |
+
margin: 0;
|
| 31 |
+
}
|
| 32 |
+
|
| 33 |
+
.error {
|
| 34 |
+
display: flex;
|
| 35 |
+
align-items: center;
|
| 36 |
+
max-width: 32rem;
|
| 37 |
+
margin: 0 1rem;
|
| 38 |
+
}
|
| 39 |
+
|
| 40 |
+
.status {
|
| 41 |
+
font-weight: 200;
|
| 42 |
+
font-size: 3rem;
|
| 43 |
+
line-height: 1;
|
| 44 |
+
position: relative;
|
| 45 |
+
top: -0.05rem;
|
| 46 |
+
}
|
| 47 |
+
|
| 48 |
+
.message {
|
| 49 |
+
border-left: 1px solid var(--divider);
|
| 50 |
+
padding: 0 0 0 1rem;
|
| 51 |
+
margin: 0 0 0 1rem;
|
| 52 |
+
min-height: 2.5rem;
|
| 53 |
+
display: flex;
|
| 54 |
+
align-items: center;
|
| 55 |
+
}
|
| 56 |
+
|
| 57 |
+
.message h1 {
|
| 58 |
+
font-weight: 400;
|
| 59 |
+
font-size: 1em;
|
| 60 |
+
margin: 0;
|
| 61 |
+
}
|
| 62 |
+
|
| 63 |
+
@media (prefers-color-scheme: dark) {
|
| 64 |
+
body {
|
| 65 |
+
--bg: #222;
|
| 66 |
+
--fg: #ddd;
|
| 67 |
+
--divider: #666;
|
| 68 |
+
}
|
| 69 |
+
}
|
| 70 |
+
</style>
|
| 71 |
+
</head>
|
| 72 |
+
<body>
|
| 73 |
+
<div class="error">
|
| 74 |
+
<span class="status">`+n+`</span>
|
| 75 |
+
<div class="message">
|
| 76 |
+
<h1>`+t+`</h1>
|
| 77 |
+
</div>
|
| 78 |
+
</div>
|
| 79 |
+
</body>
|
| 80 |
+
</html>
|
| 81 |
+
`;export{e as default};
|
build/_app/immutable/entry/app.DoRsE-be.js
ADDED
|
@@ -0,0 +1,2 @@
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|
|
|
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|
| 1 |
+
const __vite__mapDeps=(i,m=__vite__mapDeps,d=(m.f||(m.f=["../nodes/0.eFSw7z9t.js","../chunks/D0-Lpew9.js","../chunks/CdZ30l9o.js","../chunks/DP5BbXZE.js","../assets/0.uHywWbNV.css","../nodes/1.utoQeerh.js","../chunks/CryQBVor.js","../chunks/UWALBBqO.js","../chunks/Cx7tSjKg.js","../nodes/2.C-8ae8EP.js","../chunks/DHQwSDIs.js"])))=>i.map(i=>d[i]);
|
| 2 |
+
var G=t=>{throw TypeError(t)};var H=(t,e,a)=>e.has(t)||G("Cannot "+a);var m=(t,e,a)=>(H(t,e,"read from private field"),a?a.call(t):e.get(t)),k=(t,e,a)=>e.has(t)?G("Cannot add the same private member more than once"):e instanceof WeakSet?e.add(t):e.set(t,a),C=(t,e,a,o)=>(H(t,e,"write to private field"),o?o.call(t,a):e.set(t,a),a);import{al as x,am as Q,L as g,an as se,a6 as ie,ao as oe,h as W,i as ce,g as ue,E as fe,j as le,k as de,l as _e,n as Z,ac as me,f as ve,q as he,ap as ge,M as ye,t as X,D as p,aq as Ee,ar as $,as as Pe,at as Re,au as Se,av as be,aw as Oe,ax as we,ay as Ae,o as Te,az as Ie,aA as xe,aB as J,aC as Le,aD as De,v as Be,aE as je,u as ke,aF as Ce,w as D,B as Ne,y as Ye,aG as N,z as qe,A as Ue,x as Me,aH as Y}from"../chunks/CdZ30l9o.js";import{h as Ve,m as ze,u as Fe,s as Ge}from"../chunks/CryQBVor.js";import{a as A,c as q,f as ee,t as He}from"../chunks/D0-Lpew9.js";import{o as We}from"../chunks/Cx7tSjKg.js";import{B as Ze,i as U}from"../chunks/DHQwSDIs.js";const Je="modulepreload",Ke=function(t,e){return new URL(t,e).href},K={},j=function(e,a,o){let c=Promise.resolve();if(a&&a.length>0){let n=function(u){return Promise.all(u.map(d=>Promise.resolve(d).then(R=>({status:"fulfilled",value:R}),R=>({status:"rejected",reason:R}))))};const r=document.getElementsByTagName("link"),s=document.querySelector("meta[property=csp-nonce]"),v=(s==null?void 0:s.nonce)||(s==null?void 0:s.getAttribute("nonce"));c=n(a.map(u=>{if(u=Ke(u,o),u in K)return;K[u]=!0;const d=u.endsWith(".css"),R=d?'[rel="stylesheet"]':"";if(!!o)for(let f=r.length-1;f>=0;f--){const _=r[f];if(_.href===u&&(!d||_.rel==="stylesheet"))return}else if(document.querySelector(`link[href="${u}"]${R}`))return;const h=document.createElement("link");if(h.rel=d?"stylesheet":Je,d||(h.as="script"),h.crossOrigin="",h.href=u,v&&h.setAttribute("nonce",v),document.head.appendChild(h),d)return new Promise((f,_)=>{h.addEventListener("load",f),h.addEventListener("error",()=>_(new Error(`Unable to preload CSS for ${u}`)))})}))}function l(n){const r=new Event("vite:preloadError",{cancelable:!0});if(r.payload=n,window.dispatchEvent(r),!r.defaultPrevented)throw n}return c.then(n=>{for(const r of n||[])r.status==="rejected"&&l(r.reason);return e().catch(l)})},ut={};let B=!1;function Qe(t){var e=B;try{return B=!1,[t(),B]}finally{B=e}}function Xe(t){return class extends pe{constructor(e){super({component:t,...e})}}}var O,y;class pe{constructor(e){k(this,O);k(this,y);var l;var a=new Map,o=(n,r)=>{var s=oe(r,!1,!1);return a.set(n,s),s};const c=new Proxy({...e.props||{},$$events:{}},{get(n,r){return g(a.get(r)??o(r,Reflect.get(n,r)))},has(n,r){return r===Q?!0:(g(a.get(r)??o(r,Reflect.get(n,r))),Reflect.has(n,r))},set(n,r,s){return x(a.get(r)??o(r,s),s),Reflect.set(n,r,s)}});C(this,y,(e.hydrate?Ve:ze)(e.component,{target:e.target,anchor:e.anchor,props:c,context:e.context,intro:e.intro??!1,recover:e.recover,transformError:e.transformError})),(!((l=e==null?void 0:e.props)!=null&&l.$$host)||e.sync===!1)&&se(),C(this,O,c.$$events);for(const n of Object.keys(m(this,y)))n==="$set"||n==="$destroy"||n==="$on"||ie(this,n,{get(){return m(this,y)[n]},set(r){m(this,y)[n]=r},enumerable:!0});m(this,y).$set=n=>{Object.assign(c,n)},m(this,y).$destroy=()=>{Fe(m(this,y))}}$set(e){m(this,y).$set(e)}$on(e,a){m(this,O)[e]=m(this,O)[e]||[];const o=(...c)=>a.call(this,...c);return m(this,O)[e].push(o),()=>{m(this,O)[e]=m(this,O)[e].filter(c=>c!==o)}}$destroy(){m(this,y).$destroy()}}O=new WeakMap,y=new WeakMap;function M(t,e,a){var o;W&&(o=ve,ce());var c=new Ze(t);ue(()=>{var l=e()??null;if(W){var n=le(o),r=n===me,s=l!==null;if(r!==s){var v=de();_e(v),c.anchor=v,Z(!1),c.ensure(l,l&&(u=>a(u,l))),Z(!0);return}}c.ensure(l,l&&(u=>a(u,l)))},fe)}function V(t,e){return t===e||(t==null?void 0:t[$])===e}function z(t={},e,a,o){var c=he.r,l=p;return ge(()=>{var n,r;return ye(()=>{n=r,r=[],X(()=>{V(a(...r),t)||(e(t,...r),n&&V(a(...n),t)&&e(null,...n))})}),()=>{let s=l;for(;s!==c&&s.parent!==null&&s.parent.f&Ee;)s=s.parent;const v=()=>{r&&V(a(...r),t)&&e(null,...r)},u=s.teardown;s.teardown=()=>{v(),u==null||u()}}}),t}function F(t,e,a,o){var b;var c=!Te||(a&Ie)!==0,l=(a&Ae)!==0,n=(a&De)!==0,r=o,s=!0,v=void 0,u=()=>n&&c?(v??(v=J(o)),g(v)):(s&&(s=!1,r=n?X(o):o),r);let d;if(l){var R=$ in t||Q in t;d=((b=Pe(t,e))==null?void 0:b.set)??(R&&e in t?i=>t[e]=i:void 0)}var w,h=!1;l?[w,h]=Qe(()=>t[e]):w=t[e],w===void 0&&o!==void 0&&(w=u(),d&&(c&&Re(),d(w)));var f;if(c?f=()=>{var i=t[e];return i===void 0?u():(s=!0,i)}:f=()=>{var i=t[e];return i!==void 0&&(r=void 0),i===void 0?r:i},c&&(a&Se)===0)return f;if(d){var _=t.$$legacy;return(function(i,T){return arguments.length>0?((!c||!T||_||h)&&d(T?f():i),i):f()})}var E=!1,P=((a&xe)!==0?J:Le)(()=>(E=!1,f()));l&&g(P);var S=p;return(function(i,T){if(arguments.length>0){const I=T?g(P):c&&l?be(i):i;return x(P,I),E=!0,r!==void 0&&(r=I),i}return Oe&&E||(S.f&we)!==0?P.v:g(P)})}var $e=ee('<div id="svelte-announcer" aria-live="assertive" aria-atomic="true" style="position: absolute; 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|
build/_app/immutable/entry/start.D4TIGLtM.js
ADDED
|
@@ -0,0 +1 @@
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| 1 |
+
import{l as o,a as r}from"../chunks/UWALBBqO.js";export{o as load_css,r as start};
|
build/_app/immutable/nodes/0.eFSw7z9t.js
ADDED
|
@@ -0,0 +1 @@
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|
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| 1 |
+
import{c as f,a as l}from"../chunks/D0-Lpew9.js";import"../chunks/DP5BbXZE.js";import{h as s,i as u,w as c}from"../chunks/CdZ30l9o.js";function d(n,e,t,r,_){var i;s&&u();var a=(i=e.$$slots)==null?void 0:i[t],o=!1;a===!0&&(a=e.children,o=!0),a===void 0||a(n,o?()=>r:r)}const m=!0,h=Object.freeze(Object.defineProperty({__proto__:null,prerender:m},Symbol.toStringTag,{value:"Module"}));function b(n,e){var t=f(),r=c(t);d(r,e,"default",{}),l(n,t)}export{b as component,h as universal};
|
build/_app/immutable/nodes/1.utoQeerh.js
ADDED
|
@@ -0,0 +1 @@
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|
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|
| 1 |
+
import{a as h,f as g}from"../chunks/D0-Lpew9.js";import{v,w as d,x as l,y as x,z as a,A as o,B as _}from"../chunks/CdZ30l9o.js";import{s as p}from"../chunks/CryQBVor.js";import{s as $,p as m}from"../chunks/UWALBBqO.js";const k={get error(){return m.error},get status(){return m.status}};$.updated.check;const c=k;var b=g("<h1> </h1> <p> </p>",1);function B(f,n){v(n,!0);var t=b(),r=d(t),u=a(r,!0);o(r);var e=_(r,2),i=a(e,!0);o(e),l(()=>{var s;p(u,c.status),p(i,(s=c.error)==null?void 0:s.message)}),h(f,t),x()}export{B as component};
|
build/_app/immutable/nodes/2.C-8ae8EP.js
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
build/_app/version.json
ADDED
|
@@ -0,0 +1 @@
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|
| 1 |
+
{"version":"1784552917601"}
|
build/index.html
ADDED
|
@@ -0,0 +1,50 @@
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<div style="display: contents"><!--[--><!--[0--><!--[--><!--[--><!--[--><main><section class="hero" id="top"><div class="hero-copy"><div class="hero-kicker"><p class="eyebrow">Small language model evaluation</p> <span class="edition">Research index</span></div> <h1>Compact<br/>Language Model<br/><span>Index</span></h1> <p class="hero-description">A fixed evaluation of compact language models across six benchmarks, with chance-normalized scores and 95% intervals</p> <a class="hero-link" href="#leaderboard-title">Explore the leaderboard</a></div></section> <section class="summary-grid" aria-label="Suite summary"><article><span class="summary-index">Evaluation breadth</span><div class="summary-value"><strong>6</strong><span>core benchmarks</span></div></article> <article><span class="summary-index">Linguistic depth</span><div class="summary-value"><strong>12</strong><span>BLiMP categories</span></div></article> <article><span class="summary-index">Current sample</span><div class="summary-value"><strong>18</strong><span>models measured</span></div></article></section> <section class="leaderboard-section" aria-labelledby="leaderboard-title"><div class="section-heading table-heading"><div><p class="eyebrow">Ranked results</p> <h2 id="leaderboard-title">Core leaderboard</h2></div> <div class="leaderboard-controls"><div class="filter-stack"><div class="top-filter-row"><div class="filters view-filter"><button type="button" aria-pressed="false">Simplified view</button></div> <div class="filters" aria-label="Model track filter"><!--[--><button class="active">All tracks</button><button>Base</button><button>Instruction</button><!--]--></div></div> <div class="size-filters" aria-label="Maximum parameter count"><!--[--><button class="active">All</button><button><10M</button><button><50M</button><button><100M</button><button><300M</button><!--]--></div></div></div></div> <div class="table-wrap"><table><thead><tr><th>Rank</th><th class="sortable"><button class="sort-button" type="button">Model</button></th><th class="metadata-head" title="Hugging Face repository creation date">Release date</th><th class="sortable"><button class="sort-button" type="button">Parameters</button></th><th class="metadata-head">Vocab. size</th><th class="track-head">Track</th><th class="sortable score-head sorted"><button class="sort-button" type="button">Average score <span>95% CI</span></button></th><!--[--><th class="sortable metric-head"><button class="sort-button" type="button">HellaSwag</button></th><th class="sortable metric-head"><button class="sort-button" type="button">PIQA</button></th><th class="sortable metric-head"><button class="sort-button" type="button">ARC-Easy</button></th><th class="sortable metric-head"><button class="sort-button" type="button">ARC-Challenge</button></th><th class="sortable metric-head"><button class="sort-button" type="button">CommonsenseQA</button></th><th class="sortable metric-head"><button class="sort-button" type="button">BLiMP</button></th><!--]--></tr></thead><tbody><!--[-1--><!--[--><tr><td class="rank">1–2</td><td><!--[0--><a class="model-link" href="https://huggingface.co/LiquidAI/LFM2-350M" target="_blank" rel="noreferrer" aria-label="Open LFM2 350M on Hugging Face"><span class="model-name">LFM2 350M</span></a><!--]--> <!--[0--><span class="model-source">LiquidAI/LFM2-350M</span><!--]--></td><td class="metadata">2025-07-10</td><td>354M</td><td class="metadata">65,536</td><td class="track-cell"><span class="track instruction">instruction</span></td><!--[--><td class="metric score-main"><!--[0-->43.2<span>42.0–44.2</span><!--]--></td><td class="metric"><!--[0-->32.0<span>30.6–33.3</span><!--]--></td><td class="metric"><!--[0-->39.2<span>35.0–43.2</span><!--]--></td><td class="metric"><!--[0-->55.2<span>52.6–57.7</span><!--]--></td><td class="metric"><!--[0-->19.5<span>15.7–23.3</span><!--]--></td><td class="metric"><!--[0-->31.3<span>27.9–34.9</span><!--]--></td><td class="metric"><!--[0-->58.1<span>57.2–58.4</span><!--]--></td><!--]--></tr><tr><td class="rank">1–2</td><td><!--[0--><a class="model-link" href="https://huggingface.co/Qwen/Qwen2.5-0.5B" target="_blank" rel="noreferrer" aria-label="Open Qwen2.5 0.5B on Hugging Face"><span class="model-name">Qwen2.5 0.5B</span></a><!--]--> <!--[0--><span class="model-source">Qwen/Qwen2.5-0.5B</span><!--]--></td><td class="metadata">2024-09-15</td><td>494M</td><td class="metadata">151,936</td><td class="track-cell"><span class="track">base</span></td><!--[--><td class="metric score-main"><!--[0-->43.0<span>41.9–44.0</span><!--]--></td><td class="metric"><!--[0-->36.2<span>34.8–37.5</span><!--]--></td><td class="metric"><!--[0-->38.8<span>34.7–42.8</span><!--]--></td><td class="metric"><!--[0-->44.6<span>41.9–47.2</span><!--]--></td><td class="metric"><!--[0-->9.3<span>5.8–13.1</span><!--]--></td><td class="metric"><!--[0-->26.2<span>22.9–29.7</span><!--]--></td><td class="metric"><!--[0-->68.7<span>67.9–68.9</span><!--]--></td><!--]--></tr><tr><td class="rank">3</td><td><!--[0--><a class="model-link" href="https://huggingface.co/google/gemma-3-270m" target="_blank" rel="noreferrer" aria-label="Open Gemma 3 270M on Hugging Face"><span class="model-name">Gemma 3 270M</span></a><!--]--> <!--[0--><span class="model-source">google/gemma-3-270m</span><!--]--></td><td class="metadata">2025-08-05</td><td>270M</td><td class="metadata">262,144</td><td class="track-cell"><span class="track">base</span></td><!--[--><td class="metric score-main"><!--[0-->38.9<span>37.8–39.9</span><!--]--></td><td class="metric"><!--[0-->21.9<span>20.7–23.3</span><!--]--></td><td class="metric"><!--[0-->37.0<span>32.9–41.2</span><!--]--></td><td class="metric"><!--[0-->43.0<span>40.4–45.6</span><!--]--></td><td class="metric"><!--[0-->4.0<span>0.6–7.3</span><!--]--></td><td class="metric"><!--[0-->28.2<span>24.8–31.7</span><!--]--></td><td class="metric"><!--[0-->64.3<span>63.5–64.5</span><!--]--></td><!--]--></tr><tr><td class="rank">4</td><td><!--[0--><a class="model-link" href="https://huggingface.co/HuggingFaceTB/SmolLM2-135M" target="_blank" rel="noreferrer" aria-label="Open SmolLM2 135M on Hugging Face"><span class="model-name">SmolLM2 135M</span></a><!--]--> <!--[0--><span class="model-source">HuggingFaceTB/SmolLM2-135M</span><!--]--></td><td class="metadata">2024-10-31</td><td>135M</td><td class="metadata">49,152</td><td class="track-cell"><span class="track">base</span></td><!--[--><td class="metric score-main"><!--[0-->37.8<span>36.7–38.8</span><!--]--></td><td class="metric"><!--[0-->24.3<span>23.0–25.6</span><!--]--></td><td class="metric"><!--[0-->36.3<span>32.1–40.6</span><!--]--></td><td class="metric"><!--[0-->44.9<span>42.3–47.5</span><!--]--></td><td class="metric"><!--[0-->6.3<span>2.6–9.7</span><!--]--></td><td class="metric"><!--[0-->19.4<span>16.2–22.8</span><!--]--></td><td class="metric"><!--[0-->62.7<span>61.9–63.1</span><!--]--></td><!--]--></tr><tr><td class="rank">5</td><td><!--[0--><a class="model-link" href="https://huggingface.co/AxiomicLabs/GPT-X2-125M" target="_blank" rel="noreferrer" aria-label="Open GPT-X2 125M on Hugging Face"><span class="model-name">GPT-X2 125M</span></a><!--]--> <!--[0--><span class="model-source">AxiomicLabs/GPT-X2-125M</span><!--]--></td><td class="metadata">2026-03-25</td><td>125M</td><td class="metadata">32,768</td><td class="track-cell"><span class="track">base</span></td><!--[--><td class="metric score-main"><!--[0-->35.5<span>34.3–36.5</span><!--]--></td><td class="metric"><!--[0-->20.7<span>19.4–21.9</span><!--]--></td><td class="metric"><!--[0-->34.2<span>29.7–38.4</span><!--]--></td><td class="metric"><!--[0-->35.5<span>32.8–38.2</span><!--]--></td><td class="metric"><!--[0-->3.4<span>-0.1–7.1</span><!--]--></td><td class="metric"><!--[0-->18.3<span>14.9–21.6</span><!--]--></td><td class="metric"><!--[0-->65.8<span>65.0–66.1</span><!--]--></td><!--]--></tr><tr><td class="rank">6</td><td><!--[0--><a class="model-link" href="https://huggingface.co/facebook/MobileLLM-R1-140M-base" target="_blank" rel="noreferrer" aria-label="Open MobileLLM-R1 140M Base on Hugging Face"><span class="model-name">MobileLLM-R1 140M Base</span></a><!--]--> <!--[0--><span class="model-source">facebook/MobileLLM-R1-140M-base</span><!--]--></td><td class="metadata">2025-09-10</td><td>140M</td><td class="metadata">128,256</td><td class="track-cell"><span class="track">base</span></td><!--[--><td class="metric score-main"><!--[0-->31.2<span>30.1–32.2</span><!--]--></td><td class="metric"><!--[0-->12.1<span>10.9–13.3</span><!--]--></td><td class="metric"><!--[0-->26.6<span>22.2–30.8</span><!--]--></td><td class="metric"><!--[0-->33.2<span>30.5–35.7</span><!--]--></td><td class="metric"><!--[0-->-1.1<span>-4.6–2.3</span><!--]--></td><td class="metric"><!--[0-->19.3<span>16.0–22.8</span><!--]--></td><td class="metric"><!--[0-->61.6<span>60.7–61.8</span><!--]--></td><!--]--></tr><tr><td class="rank">7</td><td><!--[0--><a class="model-link" href="https://huggingface.co/PleIAs/Baguettotron" target="_blank" rel="noreferrer" aria-label="Open Baguettotron on Hugging Face"><span class="model-name">Baguettotron</span></a><!--]--> <!--[0--><span class="model-source">PleIAs/Baguettotron</span><!--]--></td><td class="metadata">2025-11-10</td><td>321M</td><td class="metadata">65,536</td><td class="track-cell"><span class="track instruction">instruction</span></td><!--[--><td class="metric score-main"><!--[0-->29.6<span>28.4–30.7</span><!--]--></td><td class="metric"><!--[0-->13.9<span>12.6–15.1</span><!--]--></td><td class="metric"><!--[0-->24.2<span>19.6–28.7</span><!--]--></td><td class="metric"><!--[0-->34.1<span>31.5–36.7</span><!--]--></td><td class="metric"><!--[0-->7.2<span>3.8–10.6</span><!--]--></td><td class="metric"><!--[0-->13.3<span>10.0–16.6</span><!--]--></td><td class="metric"><!--[0-->56.9<span>56.0–57.2</span><!--]--></td><!--]--></tr><tr><td class="rank">8–9</td><td><!--[0--><a class="model-link" href="https://huggingface.co/openai-community/gpt2" target="_blank" rel="noreferrer" aria-label="Open GPT-2 124M on Hugging Face"><span class="model-name">GPT-2 124M</span></a><!--]--> <!--[0--><span class="model-source">openai-community/gpt2</span><!--]--></td><td class="metadata">2022-03-02</td><td>124M</td><td class="metadata">50,257</td><td class="track-cell"><span class="track">base</span></td><!--[--><td class="metric score-main"><!--[0-->27.9<span>26.8–28.9</span><!--]--></td><td class="metric"><!--[0-->8.2<span>7.0–9.4</span><!--]--></td><td class="metric"><!--[0-->25.0<span>20.7–29.4</span><!--]--></td><td class="metric"><!--[0-->19.3<span>16.7–21.9</span><!--]--></td><td class="metric"><!--[0-->-3.4<span>-6.6–-0.2</span><!--]--></td><td class="metric"><!--[0-->12.3<span>9.2–15.5</span><!--]--></td><td class="metric"><!--[0-->67.5<span>66.8–67.8</span><!--]--></td><!--]--></tr><tr><td class="rank">8–9</td><td><!--[0--><a class="model-link" href="https://huggingface.co/SupraLabs/Supra-50M-Base" target="_blank" rel="noreferrer" aria-label="Open Supra 50M Base on Hugging Face"><span class="model-name">Supra 50M Base</span></a><!--]--> <!--[0--><span class="model-source">SupraLabs/Supra-50M-Base</span><!--]--></td><td class="metadata">2026-05-21</td><td>51.8M</td><td class="metadata">32,000</td><td class="track-cell"><span class="track">base</span></td><!--[--><td class="metric score-main"><!--[0-->27.3<span>26.2–28.3</span><!--]--></td><td class="metric"><!--[0-->8.8<span>7.6–10.0</span><!--]--></td><td class="metric"><!--[0-->23.4<span>18.9–28.0</span><!--]--></td><td class="metric"><!--[0-->27.5<span>24.7–30.2</span><!--]--></td><td class="metric"><!--[0-->-0.1<span>-3.5–3.2</span><!--]--></td><td class="metric"><!--[0-->12.5<span>9.2–15.7</span><!--]--></td><td class="metric"><!--[0-->59.0<span>57.9–59.1</span><!--]--></td><!--]--></tr><tr><td class="rank">10</td><td><!--[0--><a class="model-link" href="https://huggingface.co/veyra-ai/Veyra2-Apricot-50M-Base" target="_blank" rel="noreferrer" aria-label="Open Veyra2 Apricot 50M Base on Hugging Face"><span class="model-name">Veyra2 Apricot 50M Base</span></a><!--]--> <!--[0--><span class="model-source">veyra-ai/Veyra2-Apricot-50M-Base</span><!--]--></td><td class="metadata">2026-06-14</td><td>49.3M</td><td class="metadata">8,192</td><td class="track-cell"><span class="track">base</span></td><!--[--><td class="metric score-main"><!--[0-->26.1<span>24.9–27.1</span><!--]--></td><td class="metric"><!--[0-->8.4<span>7.2–9.5</span><!--]--></td><td class="metric"><!--[0-->23.4<span>19.0–27.9</span><!--]--></td><td class="metric"><!--[0-->23.7<span>20.9–26.4</span><!--]--></td><td class="metric"><!--[0-->-2.0<span>-5.2–1.1</span><!--]--></td><td class="metric"><!--[0-->10.8<span>7.7–14.0</span><!--]--></td><td class="metric"><!--[0-->58.7<span>57.7–58.9</span><!--]--></td><!--]--></tr><!--]--><!--]--></tbody></table></div> <!--[0--><button class="bar-toggle table-toggle" type="button" aria-expanded="false" aria-label="Show all 18 models" title="Show all 18 models"><span class="bar-toggle-chevron" aria-hidden="true"></span></button><!--]--></section> <section class="chart-controls" aria-label="Chart metric selector"><div><p class="eyebrow">Chart metric</p> <p class="section-note">Select a benchmark to update both the scaling chart and score comparison below.</p></div> <div class="task-tabs" aria-label="Benchmark score selector"><!--[--><button class="active">Average</button><button>HellaSwag</button><button>PIQA</button><button>ARC-Easy</button><button>ARC-Challenge</button><button>CommonsenseQA</button><button>BLiMP</button><!--]--></div></section> <section class="panel landscape" aria-labelledby="landscape-title"><div class="section-heading"><div><p class="eyebrow">Model scaling</p> <h2 id="landscape-title">Parameters and Average score</h2></div> <div class="legend"><span class="legend-dot base"></span>Base <span class="legend-dot instruction"></span>Instruction-tuned <span class="frontier-label"><span class="frontier-key"></span>Pareto trend</span></div></div> <!--[0--><div class="scatter-area" role="group" aria-label="Interactive Average score scatter chart"><svg viewBox="0 0 1120 390" preserveAspectRatio="xMidYMid meet" aria-label="Scatter chart of model size and chance-normalized Average score" role="img"><text class="axis-title" x="7" y="195" text-anchor="middle" transform="rotate(-90 7 195)">Chance-normalized score</text><!--[--><line class="grid-line" x1="62" x2="1092" y1="338" y2="338"></line><text class="axis-text" x="48" y="342" text-anchor="end">-5.0</text><line class="grid-line" x1="62" x2="1092" y1="260.5" y2="260.5"></line><text class="axis-text" x="48" y="264.5" text-anchor="end">8.0</text><line class="grid-line" x1="62" x2="1092" y1="183" y2="183"></line><text class="axis-text" x="48" y="187" text-anchor="end">21.0</text><line class="grid-line" x1="62" x2="1092" y1="105.5" y2="105.5"></line><text class="axis-text" x="48" y="109.5" text-anchor="end">34.0</text><line class="grid-line" x1="62" x2="1092" y1="28" y2="28"></line><text class="axis-text" x="48" y="32" text-anchor="end">47.0</text><!--]--><line class="axis-line" x1="62" x2="1092" y1="338" y2="338"></line><!--[--><text class="axis-text" x="62" y="373" text-anchor="middle">1.00M</text><text class="axis-text" x="405.33333333333326" y="373" text-anchor="middle">66.2M</text><text class="axis-text" x="748.6666666666666" y="373" text-anchor="middle">233M</text><text class="axis-text" x="1092" y="373" text-anchor="middle">502M</text><!--]--><text class="axis-title" x="560" y="389" dy="16" text-anchor="middle">Parameters (square-root scale)</text><!--[0--><line class="frontier-line" x1="62" y1="216.56388959058867" x2="1092" y2="28"></line><!--]--><!--[--><circle class="point instruction-point" cx="920.0643854317169" cy="50.780455838519174" r="7" tabindex="0" role="button" aria-label="LFM2 350M: 354M, Average score 43.2"></circle><circle class="point" cx="1083.6305651411053" cy="51.90738346440537" r="7" tabindex="0" role="button" aria-label="Qwen2.5 0.5B: 494M, Average score 43.0"></circle><circle class="point" cx="804.7395806967118" cy="76.21220794018353" r="7" tabindex="0" role="button" aria-label="Gemma 3 270M: 270M, Average score 38.9"></circle><circle class="point" cx="573.0989971860241" cy="82.58687530918641" r="7" tabindex="0" role="button" aria-label="SmolLM2 135M: 135M, Average score 37.8"></circle><circle class="point" cx="552.1640728408827" cy="96.41524426650113" r="7" tabindex="0" role="button" aria-label="GPT-X2 125M: 125M, Average score 35.5"></circle><circle class="point" cx="583.3609510834209" cy="122.12647039897544" r="7" tabindex="0" role="button" aria-label="MobileLLM-R1 140M Base: 140M, Average score 31.2"></circle><circle class="point instruction-point" cx="876.2040679057936" cy="131.5429165333165" r="7" tabindex="0" role="button" aria-label="Baguettotron: 321M, Average score 29.6"></circle><circle class="point" cx="549.8315227770954" cy="142.03728477664495" r="7" tabindex="0" role="button" aria-label="GPT-2 124M: 124M, Average score 27.9"></circle><circle class="point" cx="360.2314798696789" cy="145.2155148919247" r="7" tabindex="0" role="button" aria-label="Supra 50M Base: 51.8M, Average score 27.3"></circle><circle class="point" cx="351.8148480745461" cy="152.66228173290887" r="7" tabindex="0" role="button" aria-label="Veyra2 Apricot 50M Base: 49.3M, Average score 26.1"></circle><circle class="point instruction-point" cx="470.47840980935945" cy="184.1896780254373" r="7" tabindex="0" role="button" aria-label="Falcon H1 Tiny R 90M: 90.0M, Average score 20.8"></circle><circle class="point" cx="165.83340068793552" cy="187.3757702798596" r="7" tabindex="0" role="button" aria-label="SLM 10M: 9.97M, Average score 20.3"></circle><circle class="point" cx="622.6814934529776" cy="187.69827382415878" r="7" tabindex="0" role="button" aria-label="Pythia 160M: 160M, Average score 20.2"></circle><circle class="point" cx="125.54930588890744" cy="193.25663346409905" r="7" tabindex="0" role="button" aria-label="GPT-S2 5M: 5.38M, Average score 19.3"></circle><circle class="point" cx="518.6696792594654" cy="201.73683063453336" r="7" tabindex="0" role="button" aria-label="nanowhale 100M Base: 110M, Average score 17.9"></circle><circle class="point" cx="281.8503408278001" cy="207.2645820788696" r="7" tabindex="0" role="button" aria-label="Pythia 31M: 31.0M, Average score 16.9"></circle><circle class="point" cx="102.78494456761237" cy="222.7794839267102" r="7" tabindex="0" role="button" aria-label="Atom 3.4M: 3.41M, Average score 14.3"></circle><circle class="point" cx="71.34471923620197" cy="234.94264108877815" r="7" tabindex="0" role="button" aria-label="GPT-S 1.4M: 1.43M, Average score 12.3"></circle><!--]--></svg> <!--[-1--><!--]--></div><!--]--></section> <section class="panel score-panel" aria-labelledby="scores-title"><div class="section-heading compact-heading"><div><h2 id="scores-title">Model score comparison</h2> <p class="section-note">The top 10 matching models are shown by default. This comparison uses the shared metric selected above.</p></div></div> <!--[0--><div class="bar-list" style="--zero:0%"><!--[--><div class="bar-row"><span class="bar-rank">1</span> <span class="bar-name" title="LFM2 350M">LFM2 350M</span> <div class="bar-track"><i class="zero-line"></i><i class="bar-fill instruction-fill" style="--start:0%; --width:97.66531842166003%"></i><!--[0--><i class="ci-band instruction-band" style="--start:95.08105379287115%; --width:4.918946207128863%"></i><!--]--></div> <strong>43.2</strong></div><div class="bar-row"><span class="bar-rank">2</span> <span class="bar-name" title="Qwen2.5 0.5B">Qwen2.5 0.5B</span> <div class="bar-track"><i class="zero-line"></i><i class="bar-fill" style="--start:0%; --width:97.23774780038632%"></i><!--[0--><i class="ci-band" style="--start:94.69030884335038%; --width:4.757187813642953%"></i><!--]--></div> <strong>43.0</strong></div><div class="bar-row"><span class="bar-rank">3</span> <span class="bar-name" title="Gemma 3 270M">Gemma 3 270M</span> <div class="bar-track"><i class="zero-line"></i><i class="bar-fill" style="--start:0%; --width:88.01618941247756%"></i><!--[0--><i class="ci-band" style="--start:85.44044110865632%; --width:4.839940668657898%"></i><!--]--></div> <strong>38.9</strong></div><div class="bar-row"><span class="bar-rank">4</span> <span class="bar-name" title="SmolLM2 135M">SmolLM2 135M</span> <div class="bar-track"><i class="zero-line"></i><i class="bar-fill" style="--start:0%; --width:85.597559835237%"></i><!--[0--><i class="ci-band" style="--start:82.96844443078491%; --width:4.905403281355444%"></i><!--]--></div> <strong>37.8</strong></div><div class="bar-row"><span class="bar-rank">5</span> <span class="bar-name" title="GPT-X2 125M">GPT-X2 125M</span> <div class="bar-track"><i class="zero-line"></i><i class="bar-fill" style="--start:0%; --width:80.35090142482527%"></i><!--[0--><i class="ci-band" style="--start:77.6741650567042%; --width:4.842527680048843%"></i><!--]--></div> <strong>35.5</strong></div><div class="bar-row"><span class="bar-rank">6</span> <span class="bar-name" title="MobileLLM-R1 140M Base">MobileLLM-R1 140M Base</span> <div class="bar-track"><i class="zero-line"></i><i class="bar-fill" style="--start:0%; --width:70.59573642696135%"></i><!--[0--><i class="ci-band" style="--start:68.01351553652728%; --width:4.856246906950909%"></i><!--]--></div> <strong>31.2</strong></div><div class="bar-row"><span class="bar-rank">7</span> <span class="bar-name" title="Baguettotron">Baguettotron</span> <div class="bar-track"><i class="zero-line"></i><i class="bar-fill instruction-fill" style="--start:0%; --width:67.0230174418495%"></i><!--[0--><i class="ci-band instruction-band" style="--start:64.30273366073322%; --width:5.102435679356783%"></i><!--]--></div> <strong>29.6</strong></div><div class="bar-row"><span class="bar-rank">8</span> <span class="bar-name" title="GPT-2 124M">GPT-2 124M</span> <div class="bar-track"><i class="zero-line"></i><i class="bar-fill" style="--start:0%; --width:63.04132114955523%"></i><!--[0--><i class="ci-band" style="--start:60.53290469836335%; --width:4.737448055935418%"></i><!--]--></div> <strong>27.9</strong></div><div class="bar-row"><span class="bar-rank">9</span> <span class="bar-name" title="Supra 50M Base">Supra 50M Base</span> <div class="bar-track"><i class="zero-line"></i><i class="bar-fill" style="--start:0%; --width:61.835460370454776%"></i><!--[0--><i class="ci-band" style="--start:59.165814883947%; --width:4.859755028382519%"></i><!--]--></div> <strong>27.3</strong></div><div class="bar-row"><span class="bar-rank">10</span> <span class="bar-name" title="Veyra2 Apricot 50M Base">Veyra2 Apricot 50M Base</span> <div class="bar-track"><i class="zero-line"></i><i class="bar-fill" style="--start:0%; --width:59.01006266829425%"></i><!--[0--><i class="ci-band" style="--start:56.36520694817211%; --width:4.826922398471318%"></i><!--]--></div> <strong>26.1</strong></div><!--]--></div> <!--[0--><button class="bar-toggle" type="button" aria-expanded="false" aria-label="Show all 18 models" title="Show all 18 models"><span class="bar-toggle-chevron" aria-hidden="true"></span></button><!--]--><!--]--></section> <section class="bottom-grid"><article class="panel method-card"><p class="eyebrow">Scoring method</p> <h3>Chance-normalized composite score</h3> <p class="formula">100 × <span>(accuracy − chance)</span> / <span>(1 − chance)</span></p> <p>For each benchmark, the observed result is normalized against its chance level: chance maps to 0 and a perfect result maps to 100.</p> <p>HellaSwag, PIQA, and CommonsenseQA form a commonsense domain worth 50% of the composite, with each benchmark weighted equally within that domain. Science and world knowledge contribute 25% after combining ARC-Easy (75%) and ARC-Challenge (25%). BLiMP contributes the remaining 25% for grammatical competence and is macro-averaged across its 12 linguistic categories.</p> <p>CommonsenseQA scores the likelihood of each full answer text with length normalization, rather than scoring the A–E answer label. This prevents a model’s letter preference from being mistaken for commonsense capability.</p> <p>Each benchmark interval is a 95% percentile bootstrap. Model comparisons use paired bootstrap resampling on matched evaluation items. Results below chance remain negative, and rank ranges reflect comparisons that do not distinguish neighbouring models.</p></article> <article class="panel protocol-card"><p class="eyebrow">Evaluation protocol</p> <h2>Curated evaluation</h2> <p>CompactLMIndex is a curated benchmark, not an open intake list. We are establishing a Pareto-frontier baseline across model sizes and highlighting training or inference strategies that put a model ahead of its peers at a comparable parameter count.</p> <ul><li>Complete core suite required for a rank</li><li>Zero-shot, non-chat log-likelihood prompts</li><li>Paired bootstrap comparisons on matched questions</li></ul> <p>Every published result is independently checked through our internal verification process. Final inclusion and presentation decisions remain with Universal Computing Research.</p> <p>If you have interesting results for a model you think is suitable for this benchmark, you can open a discussion on the Space for consideration.</p></article></section> <section class="panel additional-card" aria-labelledby="credits-title"><div><p class="eyebrow">Credits & scope</p> <h2 id="credits-title">Efficiency at smaller scales</h2></div> <div class="credits-content"><p>CompactLMIndex looks at smaller language models. At this scale, architecture, training, and inference choices can make a real difference. Every model follows the same evaluation protocol, so results are compared fairly rather than by size alone.</p> <p class="credits-attribution">Inspired by the <a href="https://huggingface.co/open-llm-leaderboard" target="_blank" rel="noreferrer">Open LLM Leaderboard</a>, <a href="https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard" target="_blank" rel="noreferrer">Axiomic Labs Open SLM Leaderboard</a>, and <a href="https://github.com/openai/parameter-golf" target="_blank" rel="noreferrer">OpenAI Parameter Golf</a>.</p></div></section> <footer><p>Compact Language Model Index by <a href="https://huggingface.co/UniversalComputingResearch" target="_blank" rel="noreferrer">Universal Computing Research</a></p></footer></main><!--]--><!--]--><!--]--><!--]--> <!--[-1--><!--]--><!--]-->
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src/app.css
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| 1 |
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:root {
|
| 2 |
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--bg: #040619;
|
| 3 |
+
--block: #1a1820;
|
| 4 |
+
--primary: #6C8CFF;
|
| 5 |
+
--secondary: #52B788;
|
| 6 |
+
--instruction: color-mix(in srgb, var(--secondary) 70%, var(--primary));
|
| 7 |
+
--highlight: #ffe23e;
|
| 8 |
+
--separator: #302934;
|
| 9 |
+
|
| 10 |
+
--font-sans:
|
| 11 |
+
Manrope,
|
| 12 |
+
"Avenir Next",
|
| 13 |
+
"Segoe UI Variable Text",
|
| 14 |
+
"Segoe UI",
|
| 15 |
+
ui-sans-serif,
|
| 16 |
+
system-ui,
|
| 17 |
+
-apple-system,
|
| 18 |
+
BlinkMacSystemFont,
|
| 19 |
+
sans-serif;
|
| 20 |
+
font-family: var(--font-sans);
|
| 21 |
+
color: color-mix(in srgb, white 92%, var(--block));
|
| 22 |
+
background: var(--bg);
|
| 23 |
+
font-synthesis: none;
|
| 24 |
+
font-kerning: normal;
|
| 25 |
+
font-optical-sizing: auto;
|
| 26 |
+
text-rendering: optimizeLegibility;
|
| 27 |
+
-webkit-font-smoothing: antialiased;
|
| 28 |
+
-moz-osx-font-smoothing: grayscale;
|
| 29 |
+
}
|
| 30 |
+
* {
|
| 31 |
+
box-sizing: border-box;
|
| 32 |
+
}
|
| 33 |
+
html {
|
| 34 |
+
scroll-behavior: smooth;
|
| 35 |
+
}
|
| 36 |
+
body {
|
| 37 |
+
margin: 0;
|
| 38 |
+
min-width: 320px;
|
| 39 |
+
background-color: var(--bg);
|
| 40 |
+
background-image:
|
| 41 |
+
radial-gradient(circle at 50% -10%, color-mix(in srgb, var(--highlight) 5%, transparent), transparent 34rem),
|
| 42 |
+
radial-gradient(circle at 0% 38%, color-mix(in srgb, var(--highlight) 5%, transparent), transparent 25rem),
|
| 43 |
+
radial-gradient(circle at 88% 10%, color-mix(in srgb, var(--highlight) 4%, transparent), transparent 24rem),
|
| 44 |
+
radial-gradient(circle at 22% 82%, color-mix(in srgb, var(--highlight) 2.5%, transparent), transparent 28rem);
|
| 45 |
+
background-attachment: fixed;
|
| 46 |
+
font-size: 16px;
|
| 47 |
+
font-weight: 400;
|
| 48 |
+
line-height: 1.5;
|
| 49 |
+
scrollbar-color: color-mix(in srgb, var(--secondary) 42%, var(--block)) var(--bg);
|
| 50 |
+
scrollbar-width: thin;
|
| 51 |
+
}
|
| 52 |
+
* {
|
| 53 |
+
scrollbar-color: color-mix(in srgb, var(--secondary) 42%, var(--block)) var(--bg);
|
| 54 |
+
scrollbar-width: thin;
|
| 55 |
+
}
|
| 56 |
+
*::-webkit-scrollbar {
|
| 57 |
+
width: 9px;
|
| 58 |
+
height: 9px;
|
| 59 |
+
}
|
| 60 |
+
*::-webkit-scrollbar-track {
|
| 61 |
+
background: color-mix(in srgb, var(--bg) 92%, var(--block));
|
| 62 |
+
}
|
| 63 |
+
*::-webkit-scrollbar-thumb {
|
| 64 |
+
border: 2px solid color-mix(in srgb, var(--bg) 92%, var(--block));
|
| 65 |
+
border-radius: 999px;
|
| 66 |
+
background: color-mix(in srgb, var(--secondary) 42%, var(--block));
|
| 67 |
+
}
|
| 68 |
+
*::-webkit-scrollbar-thumb:hover {
|
| 69 |
+
background: color-mix(in srgb, var(--secondary) 68%, var(--primary));
|
| 70 |
+
}
|
| 71 |
+
*::-webkit-scrollbar-corner {
|
| 72 |
+
background: var(--bg);
|
| 73 |
+
}
|
| 74 |
+
button {
|
| 75 |
+
font: inherit;
|
| 76 |
+
}
|
| 77 |
+
strong {
|
| 78 |
+
font-weight: 500;
|
| 79 |
+
}
|
| 80 |
+
main {
|
| 81 |
+
max-width: 1440px;
|
| 82 |
+
margin: 0 auto;
|
| 83 |
+
padding: 0 40px;
|
| 84 |
+
}
|
| 85 |
+
.track {
|
| 86 |
+
color: color-mix(in srgb, white 66%, var(--block));
|
| 87 |
+
border: 0;
|
| 88 |
+
border-radius: 0;
|
| 89 |
+
padding: 0;
|
| 90 |
+
font-size: 12px;
|
| 91 |
+
font-weight: 400;
|
| 92 |
+
}
|
| 93 |
+
.hero {
|
| 94 |
+
position: relative;
|
| 95 |
+
display: block;
|
| 96 |
+
max-width: 900px;
|
| 97 |
+
min-height: 620px;
|
| 98 |
+
padding: 68px 0 62px;
|
| 99 |
+
}
|
| 100 |
+
.hero-copy { position: relative; z-index: 2; }
|
| 101 |
+
.hero-kicker { display: flex; align-items: center; gap: 10px; margin-bottom: 22px; }
|
| 102 |
+
.hero-kicker .eyebrow { margin: 0; }
|
| 103 |
+
.edition {
|
| 104 |
+
margin-left: 3px; padding-left: 12px;
|
| 105 |
+
border-left: 1px solid color-mix(in srgb, white 22%, transparent);
|
| 106 |
+
color: color-mix(in srgb, white 44%, var(--block));
|
| 107 |
+
font-size: 10px; letter-spacing: 0.12em; text-transform: uppercase;
|
| 108 |
+
}
|
| 109 |
+
.eyebrow {
|
| 110 |
+
margin: 0 0 13px;
|
| 111 |
+
color: color-mix(in srgb, white 74%, var(--block));
|
| 112 |
+
text-transform: uppercase;
|
| 113 |
+
font-size: 11px;
|
| 114 |
+
font-weight: 500;
|
| 115 |
+
letter-spacing: 0.12em;
|
| 116 |
+
}
|
| 117 |
+
h1,
|
| 118 |
+
h2,
|
| 119 |
+
p {
|
| 120 |
+
margin-top: 0;
|
| 121 |
+
}
|
| 122 |
+
h1,
|
| 123 |
+
h2 {
|
| 124 |
+
letter-spacing: -0.045em;
|
| 125 |
+
font-weight: 400;
|
| 126 |
+
}
|
| 127 |
+
h1 {
|
| 128 |
+
margin-bottom: 0;
|
| 129 |
+
font-size: clamp(56px, 6.4vw, 88px);
|
| 130 |
+
line-height: 0.91;
|
| 131 |
+
color: color-mix(in srgb, white 94%, var(--block));
|
| 132 |
+
}
|
| 133 |
+
h1 span { color: inherit; font-style: italic; font-weight: 300; }
|
| 134 |
+
h2 {
|
| 135 |
+
font-size: 29px;
|
| 136 |
+
line-height: 1.15;
|
| 137 |
+
}
|
| 138 |
+
.hero-description {
|
| 139 |
+
max-width: 590px;
|
| 140 |
+
margin: 34px 0 0;
|
| 141 |
+
color: color-mix(in srgb, white 65%, var(--block));
|
| 142 |
+
font-size: 17px;
|
| 143 |
+
line-height: 1.6;
|
| 144 |
+
}
|
| 145 |
+
.hero-link {
|
| 146 |
+
display: inline-block; margin-top: 26px;
|
| 147 |
+
color: var(--primary);
|
| 148 |
+
font-size: 12px; font-weight: 500; letter-spacing: 0.08em;
|
| 149 |
+
text-decoration: underline;
|
| 150 |
+
text-decoration-color: color-mix(in srgb, var(--primary) 65%, transparent);
|
| 151 |
+
text-decoration-thickness: 1px;
|
| 152 |
+
text-underline-offset: 5px;
|
| 153 |
+
text-transform: uppercase;
|
| 154 |
+
transition: color 160ms ease, text-decoration-color 160ms ease;
|
| 155 |
+
}
|
| 156 |
+
.hero-link:hover, .hero-link:focus-visible {
|
| 157 |
+
color: color-mix(in srgb, var(--primary) 78%, white);
|
| 158 |
+
text-decoration-color: currentColor;
|
| 159 |
+
}
|
| 160 |
+
.protocol-notice {
|
| 161 |
+
max-width: 650px;
|
| 162 |
+
margin: 18px 0 0;
|
| 163 |
+
padding-left: 13px;
|
| 164 |
+
border-left: 2px solid color-mix(in srgb, var(--highlight) 70%, var(--block));
|
| 165 |
+
color: color-mix(in srgb, white 62%, var(--block));
|
| 166 |
+
font-size: 13px;
|
| 167 |
+
line-height: 1.55;
|
| 168 |
+
}
|
| 169 |
+
.summary-grid {
|
| 170 |
+
display: grid;
|
| 171 |
+
grid-template-columns: repeat(3, 1fr);
|
| 172 |
+
gap: 0;
|
| 173 |
+
border: 1px solid color-mix(in srgb, var(--secondary) 45%, transparent);
|
| 174 |
+
background: color-mix(in srgb, var(--secondary) 45%, transparent);
|
| 175 |
+
}
|
| 176 |
+
.summary-grid article {
|
| 177 |
+
position: relative;
|
| 178 |
+
min-height: 132px;
|
| 179 |
+
display: flex;
|
| 180 |
+
align-items: flex-end;
|
| 181 |
+
justify-content: space-between;
|
| 182 |
+
padding: 24px 27px;
|
| 183 |
+
background: var(--bg);
|
| 184 |
+
}
|
| 185 |
+
.summary-grid article + article {
|
| 186 |
+
border-left: 1px solid color-mix(in srgb, var(--secondary) 45%, transparent);
|
| 187 |
+
}
|
| 188 |
+
.summary-grid article > div { display: grid; gap: 2px; }
|
| 189 |
+
.summary-index {
|
| 190 |
+
position: absolute; left: 27px; top: 20px;
|
| 191 |
+
color: color-mix(in srgb, white 35%, var(--block)) !important;
|
| 192 |
+
font-size: 10px !important; letter-spacing: 0.14em; text-transform: uppercase;
|
| 193 |
+
}
|
| 194 |
+
.summary-grid strong {
|
| 195 |
+
color: color-mix(in srgb, white 92%, var(--block));
|
| 196 |
+
font-size: 40px;
|
| 197 |
+
font-weight: 400;
|
| 198 |
+
letter-spacing: -0.05em;
|
| 199 |
+
}
|
| 200 |
+
.summary-grid span {
|
| 201 |
+
color: color-mix(in srgb, white 60%, var(--block));
|
| 202 |
+
font-size: 13px;
|
| 203 |
+
}
|
| 204 |
+
.leaderboard-section {
|
| 205 |
+
padding: 68px 0 46px;
|
| 206 |
+
}
|
| 207 |
+
.section-heading {
|
| 208 |
+
display: flex;
|
| 209 |
+
align-items: end;
|
| 210 |
+
justify-content: space-between;
|
| 211 |
+
gap: 22px;
|
| 212 |
+
}
|
| 213 |
+
.section-heading .eyebrow {
|
| 214 |
+
margin-bottom: 9px;
|
| 215 |
+
}
|
| 216 |
+
.filters,
|
| 217 |
+
.task-tabs,
|
| 218 |
+
.size-filters {
|
| 219 |
+
display: flex;
|
| 220 |
+
align-items: center;
|
| 221 |
+
gap: 6px;
|
| 222 |
+
flex-wrap: wrap;
|
| 223 |
+
}
|
| 224 |
+
.filter-stack {
|
| 225 |
+
display: grid;
|
| 226 |
+
justify-items: end;
|
| 227 |
+
gap: 8px;
|
| 228 |
+
}
|
| 229 |
+
.top-filter-row {
|
| 230 |
+
display: grid;
|
| 231 |
+
grid-template-columns: auto minmax(0, 1fr);
|
| 232 |
+
align-items: center;
|
| 233 |
+
gap: 8px;
|
| 234 |
+
}
|
| 235 |
+
.leaderboard-controls {
|
| 236 |
+
display: flex;
|
| 237 |
+
align-items: center;
|
| 238 |
+
gap: 12px;
|
| 239 |
+
}
|
| 240 |
+
.view-filter {
|
| 241 |
+
width: max-content;
|
| 242 |
+
flex: 0 0 auto;
|
| 243 |
+
}
|
| 244 |
+
.filters {
|
| 245 |
+
border: 1px solid var(--block);
|
| 246 |
+
padding: 3px;
|
| 247 |
+
border-radius: 9px;
|
| 248 |
+
background: var(--block);
|
| 249 |
+
}
|
| 250 |
+
.filters button,
|
| 251 |
+
.task-tabs button,
|
| 252 |
+
.size-filters button {
|
| 253 |
+
border: 1px solid transparent;
|
| 254 |
+
background: transparent;
|
| 255 |
+
color: color-mix(in srgb, white 65%, var(--block));
|
| 256 |
+
border-radius: 6px;
|
| 257 |
+
cursor: pointer;
|
| 258 |
+
padding: 9px 12px;
|
| 259 |
+
font-size: 13px;
|
| 260 |
+
font-weight: 400;
|
| 261 |
+
}
|
| 262 |
+
.filters button:hover,
|
| 263 |
+
.task-tabs button:hover,
|
| 264 |
+
.size-filters button:hover {
|
| 265 |
+
color: color-mix(in srgb, white 92%, var(--block));
|
| 266 |
+
}
|
| 267 |
+
.filters button.active {
|
| 268 |
+
color: color-mix(in srgb, white 88%, var(--block));
|
| 269 |
+
background: color-mix(in srgb, var(--block) 70%, var(--primary));
|
| 270 |
+
}
|
| 271 |
+
.size-filters {
|
| 272 |
+
border: 1px solid var(--block);
|
| 273 |
+
padding: 3px;
|
| 274 |
+
border-radius: 9px;
|
| 275 |
+
background: var(--block);
|
| 276 |
+
color: color-mix(in srgb, white 48%, var(--block));
|
| 277 |
+
font-size: 11px;
|
| 278 |
+
}
|
| 279 |
+
.size-filters span {
|
| 280 |
+
margin-right: 2px;
|
| 281 |
+
text-transform: uppercase;
|
| 282 |
+
letter-spacing: 0.1em;
|
| 283 |
+
}
|
| 284 |
+
.size-filters button {
|
| 285 |
+
padding: 6px 9px;
|
| 286 |
+
border-color: var(--block);
|
| 287 |
+
font-size: 11px;
|
| 288 |
+
}
|
| 289 |
+
.filters button,
|
| 290 |
+
.size-filters button,
|
| 291 |
+
.view-filter button {
|
| 292 |
+
height: 30px;
|
| 293 |
+
padding: 0 9px;
|
| 294 |
+
font-size: 11px;
|
| 295 |
+
line-height: 1;
|
| 296 |
+
}
|
| 297 |
+
.size-filters button.active {
|
| 298 |
+
color: color-mix(in srgb, white 88%, var(--block));
|
| 299 |
+
border-color: var(--block);
|
| 300 |
+
background: color-mix(in srgb, var(--block) 70%, var(--primary));
|
| 301 |
+
}
|
| 302 |
+
.table-wrap {
|
| 303 |
+
overflow: auto;
|
| 304 |
+
margin-top: 24px;
|
| 305 |
+
border: 1px solid var(--block);
|
| 306 |
+
border-radius: 10px;
|
| 307 |
+
background: var(--block);
|
| 308 |
+
scrollbar-color: color-mix(in srgb, var(--secondary) 46%, var(--block)) color-mix(in srgb, var(--bg) 82%, var(--block));
|
| 309 |
+
}
|
| 310 |
+
.table-wrap::-webkit-scrollbar-track {
|
| 311 |
+
background: color-mix(in srgb, var(--bg) 82%, var(--block));
|
| 312 |
+
}
|
| 313 |
+
.table-wrap::-webkit-scrollbar-thumb {
|
| 314 |
+
border-color: color-mix(in srgb, var(--bg) 82%, var(--block));
|
| 315 |
+
background: color-mix(in srgb, var(--secondary) 46%, var(--block));
|
| 316 |
+
}
|
| 317 |
+
.table-wrap::-webkit-scrollbar-thumb:hover {
|
| 318 |
+
background: var(--secondary);
|
| 319 |
+
}
|
| 320 |
+
table {
|
| 321 |
+
min-width: 1320px;
|
| 322 |
+
width: 100%;
|
| 323 |
+
border-collapse: collapse;
|
| 324 |
+
font-size: 14px;
|
| 325 |
+
line-height: 1.45;
|
| 326 |
+
}
|
| 327 |
+
th {
|
| 328 |
+
color: color-mix(in srgb, white 64%, var(--block));
|
| 329 |
+
background: color-mix(in srgb, var(--primary) 30%, var(--block));
|
| 330 |
+
padding: 16px;
|
| 331 |
+
border-bottom: 1px solid var(--block);
|
| 332 |
+
text-align: left;
|
| 333 |
+
text-transform: uppercase;
|
| 334 |
+
letter-spacing: 0.09em;
|
| 335 |
+
font-size: 11px;
|
| 336 |
+
font-weight: 500;
|
| 337 |
+
white-space: nowrap;
|
| 338 |
+
}
|
| 339 |
+
.sort-button {
|
| 340 |
+
display: block;
|
| 341 |
+
width: 100%;
|
| 342 |
+
margin: 0;
|
| 343 |
+
padding: 0;
|
| 344 |
+
border: 0;
|
| 345 |
+
color: color-mix(in srgb, white 82%, var(--block));
|
| 346 |
+
background: transparent;
|
| 347 |
+
font: inherit;
|
| 348 |
+
letter-spacing: inherit;
|
| 349 |
+
text-align: inherit;
|
| 350 |
+
text-transform: inherit;
|
| 351 |
+
white-space: inherit;
|
| 352 |
+
cursor: pointer;
|
| 353 |
+
}
|
| 354 |
+
.sort-button:hover,
|
| 355 |
+
th.sortable.sorted .sort-button {
|
| 356 |
+
color: color-mix(in srgb, white 94%, var(--block));
|
| 357 |
+
}
|
| 358 |
+
.sort-button:focus-visible {
|
| 359 |
+
outline: 1px solid color-mix(in srgb, white 52%, transparent);
|
| 360 |
+
outline-offset: 4px;
|
| 361 |
+
}
|
| 362 |
+
th:first-child,
|
| 363 |
+
td:first-child {
|
| 364 |
+
padding-left: 22px;
|
| 365 |
+
}
|
| 366 |
+
th span {
|
| 367 |
+
text-transform: none;
|
| 368 |
+
letter-spacing: 0;
|
| 369 |
+
font-weight: 400;
|
| 370 |
+
}
|
| 371 |
+
td {
|
| 372 |
+
border-bottom: 1px solid color-mix(in srgb, white 6%, var(--block));
|
| 373 |
+
padding: 18px 16px;
|
| 374 |
+
vertical-align: middle;
|
| 375 |
+
white-space: nowrap;
|
| 376 |
+
color: color-mix(in srgb, white 78%, var(--block));
|
| 377 |
+
}
|
| 378 |
+
tbody tr:last-child td {
|
| 379 |
+
border-bottom: 0;
|
| 380 |
+
}
|
| 381 |
+
tbody tr:hover {
|
| 382 |
+
background: color-mix(in srgb, var(--block) 92%, white);
|
| 383 |
+
}
|
| 384 |
+
.rank {
|
| 385 |
+
color: color-mix(in srgb, white 92%, var(--block));
|
| 386 |
+
font-variant-numeric: tabular-nums;
|
| 387 |
+
font-weight: 500;
|
| 388 |
+
}
|
| 389 |
+
.model-name {
|
| 390 |
+
color: color-mix(in srgb, white 92%, var(--block));
|
| 391 |
+
font-weight: 500;
|
| 392 |
+
}
|
| 393 |
+
.model-link {
|
| 394 |
+
color: inherit;
|
| 395 |
+
text-decoration: none;
|
| 396 |
+
}
|
| 397 |
+
.model-link:hover .model-name,
|
| 398 |
+
.model-link:focus-visible .model-name {
|
| 399 |
+
text-decoration: underline;
|
| 400 |
+
text-decoration-thickness: 1px;
|
| 401 |
+
text-underline-offset: 3px;
|
| 402 |
+
}
|
| 403 |
+
.model-link:focus-visible {
|
| 404 |
+
outline: 2px solid color-mix(in srgb, white 45%, transparent);
|
| 405 |
+
outline-offset: 3px;
|
| 406 |
+
border-radius: 2px;
|
| 407 |
+
}
|
| 408 |
+
.model-source,
|
| 409 |
+
.metric span {
|
| 410 |
+
display: block;
|
| 411 |
+
color: color-mix(in srgb, white 52%, var(--block));
|
| 412 |
+
font-size: 11px;
|
| 413 |
+
margin-top: 4px;
|
| 414 |
+
}
|
| 415 |
+
.metric {
|
| 416 |
+
font-variant-numeric: tabular-nums;
|
| 417 |
+
}
|
| 418 |
+
.score-main {
|
| 419 |
+
color: color-mix(in srgb, white 88%, var(--block));
|
| 420 |
+
font-weight: 500;
|
| 421 |
+
}
|
| 422 |
+
.simplified .model-source,
|
| 423 |
+
.simplified .metric span,
|
| 424 |
+
.simplified .score-head span,
|
| 425 |
+
.simplified .metadata,
|
| 426 |
+
.simplified .metadata-head,
|
| 427 |
+
.simplified .track-cell,
|
| 428 |
+
.simplified .track-head {
|
| 429 |
+
display: none;
|
| 430 |
+
}
|
| 431 |
+
.simplified .score-head,
|
| 432 |
+
.simplified .metric-head,
|
| 433 |
+
.simplified .metric {
|
| 434 |
+
text-align: center;
|
| 435 |
+
}
|
| 436 |
+
.track {
|
| 437 |
+
padding: 0;
|
| 438 |
+
}
|
| 439 |
+
.track.instruction {
|
| 440 |
+
color: color-mix(in srgb, white 78%, var(--block));
|
| 441 |
+
background: transparent;
|
| 442 |
+
}
|
| 443 |
+
.empty-row td {
|
| 444 |
+
color: color-mix(in srgb, white 55%, var(--block));
|
| 445 |
+
padding: 45px 18px;
|
| 446 |
+
text-align: center;
|
| 447 |
+
}
|
| 448 |
+
.panel {
|
| 449 |
+
border: 1px solid var(--block);
|
| 450 |
+
background: var(--block);
|
| 451 |
+
border-radius: 12px;
|
| 452 |
+
}
|
| 453 |
+
.landscape {
|
| 454 |
+
padding: 32px 34px 28px;
|
| 455 |
+
}
|
| 456 |
+
.legend {
|
| 457 |
+
display: flex;
|
| 458 |
+
align-items: center;
|
| 459 |
+
gap: 7px;
|
| 460 |
+
color: color-mix(in srgb, white 64%, var(--block));
|
| 461 |
+
font-size: 13px;
|
| 462 |
+
white-space: nowrap;
|
| 463 |
+
}
|
| 464 |
+
.legend-dot {
|
| 465 |
+
display: inline-block;
|
| 466 |
+
height: 8px;
|
| 467 |
+
width: 8px;
|
| 468 |
+
margin-left: 8px;
|
| 469 |
+
border-radius: 50%;
|
| 470 |
+
background: var(--primary);
|
| 471 |
+
}
|
| 472 |
+
.legend-dot:first-child {
|
| 473 |
+
margin-left: 0;
|
| 474 |
+
}
|
| 475 |
+
.legend-dot.instruction {
|
| 476 |
+
background: var(--instruction);
|
| 477 |
+
}
|
| 478 |
+
.frontier-key {
|
| 479 |
+
display: inline-block;
|
| 480 |
+
width: 22px;
|
| 481 |
+
margin-left: 10px;
|
| 482 |
+
border-top: 2px dashed color-mix(in srgb, white 78%, var(--block));
|
| 483 |
+
}
|
| 484 |
+
.frontier-label {
|
| 485 |
+
display: inline-flex;
|
| 486 |
+
align-items: center;
|
| 487 |
+
gap: 7px;
|
| 488 |
+
margin-left: 10px;
|
| 489 |
+
}
|
| 490 |
+
.scatter-area {
|
| 491 |
+
position: relative;
|
| 492 |
+
margin-top: 22px;
|
| 493 |
+
min-height: 412px;
|
| 494 |
+
padding-bottom: 22px;
|
| 495 |
+
}
|
| 496 |
+
.scatter-area svg {
|
| 497 |
+
display: block;
|
| 498 |
+
width: 100%;
|
| 499 |
+
height: auto;
|
| 500 |
+
min-height: 320px;
|
| 501 |
+
overflow: visible;
|
| 502 |
+
shape-rendering: geometricPrecision;
|
| 503 |
+
text-rendering: geometricPrecision;
|
| 504 |
+
}
|
| 505 |
+
.grid-line {
|
| 506 |
+
stroke: color-mix(in srgb, var(--primary) 35%, var(--bg));
|
| 507 |
+
stroke-width: 1;
|
| 508 |
+
}
|
| 509 |
+
.axis-line {
|
| 510 |
+
stroke: color-mix(in srgb, var(--primary) 42%, var(--bg));
|
| 511 |
+
stroke-width: 1;
|
| 512 |
+
}
|
| 513 |
+
.axis-text,
|
| 514 |
+
.axis-title {
|
| 515 |
+
fill: color-mix(in srgb, white 57%, var(--block));
|
| 516 |
+
font-size: 13px;
|
| 517 |
+
font-family: var(--font-sans);
|
| 518 |
+
font-weight: 400;
|
| 519 |
+
letter-spacing: 0.005em;
|
| 520 |
+
}
|
| 521 |
+
.axis-title {
|
| 522 |
+
font-size: 13.5px;
|
| 523 |
+
fill: color-mix(in srgb, white 72%, var(--block));
|
| 524 |
+
letter-spacing: 0.01em;
|
| 525 |
+
}
|
| 526 |
+
.frontier-line {
|
| 527 |
+
fill: none;
|
| 528 |
+
stroke: color-mix(in srgb, white 78%, var(--block));
|
| 529 |
+
stroke-width: 2;
|
| 530 |
+
stroke-dasharray: 7 6;
|
| 531 |
+
opacity: 0.9;
|
| 532 |
+
}
|
| 533 |
+
.point {
|
| 534 |
+
fill: var(--primary);
|
| 535 |
+
stroke: var(--block);
|
| 536 |
+
stroke-width: 3;
|
| 537 |
+
cursor: pointer;
|
| 538 |
+
transition:
|
| 539 |
+
r 0.15s ease,
|
| 540 |
+
filter 0.15s ease;
|
| 541 |
+
}
|
| 542 |
+
.point:hover,
|
| 543 |
+
.point:focus-visible {
|
| 544 |
+
r: 8;
|
| 545 |
+
filter: brightness(1.25);
|
| 546 |
+
}
|
| 547 |
+
.point:focus {
|
| 548 |
+
outline: none;
|
| 549 |
+
}
|
| 550 |
+
.point.instruction-point {
|
| 551 |
+
fill: var(--instruction);
|
| 552 |
+
}
|
| 553 |
+
.chart-tooltip {
|
| 554 |
+
pointer-events: none;
|
| 555 |
+
position: absolute;
|
| 556 |
+
transform: translate(-50%, -100%);
|
| 557 |
+
min-width: 160px;
|
| 558 |
+
max-width: calc(100% - 20px);
|
| 559 |
+
z-index: 2;
|
| 560 |
+
padding: 12px 14px;
|
| 561 |
+
border: 1px solid var(--block);
|
| 562 |
+
border-radius: 8px;
|
| 563 |
+
background: var(--block);
|
| 564 |
+
color: color-mix(in srgb, white 92%, var(--block));
|
| 565 |
+
box-shadow: 0 12px 28px rgb(0 0 0 / 45%);
|
| 566 |
+
font-size: 13px;
|
| 567 |
+
}
|
| 568 |
+
.chart-tooltip strong,
|
| 569 |
+
.chart-tooltip span,
|
| 570 |
+
.chart-tooltip b {
|
| 571 |
+
display: block;
|
| 572 |
+
}
|
| 573 |
+
.chart-tooltip strong {
|
| 574 |
+
font-weight: 500;
|
| 575 |
+
}
|
| 576 |
+
.chart-tooltip span {
|
| 577 |
+
margin: 4px 0 8px;
|
| 578 |
+
color: color-mix(in srgb, white 68%, var(--block));
|
| 579 |
+
}
|
| 580 |
+
.chart-tooltip b {
|
| 581 |
+
color: color-mix(in srgb, white 88%, var(--block));
|
| 582 |
+
font-size: 15px;
|
| 583 |
+
font-weight: 500;
|
| 584 |
+
}
|
| 585 |
+
.chart-tooltip em {
|
| 586 |
+
font-style: normal;
|
| 587 |
+
font-size: 11px;
|
| 588 |
+
color: color-mix(in srgb, white 56%, var(--block));
|
| 589 |
+
font-weight: 400;
|
| 590 |
+
}
|
| 591 |
+
.chart-controls {
|
| 592 |
+
display: flex;
|
| 593 |
+
align-items: end;
|
| 594 |
+
justify-content: space-between;
|
| 595 |
+
gap: 24px;
|
| 596 |
+
margin: 46px 0 22px;
|
| 597 |
+
}
|
| 598 |
+
.chart-controls .eyebrow {
|
| 599 |
+
margin-bottom: 7px;
|
| 600 |
+
}
|
| 601 |
+
.chart-controls .section-note {
|
| 602 |
+
margin: 0;
|
| 603 |
+
max-width: 460px;
|
| 604 |
+
}
|
| 605 |
+
.chart-controls .task-tabs {
|
| 606 |
+
margin: 0;
|
| 607 |
+
justify-content: flex-end;
|
| 608 |
+
}
|
| 609 |
+
.score-panel {
|
| 610 |
+
margin-top: 22px;
|
| 611 |
+
padding: 32px 34px 34px;
|
| 612 |
+
}
|
| 613 |
+
.compact-heading {
|
| 614 |
+
display: block;
|
| 615 |
+
}
|
| 616 |
+
.section-note {
|
| 617 |
+
max-width: 720px;
|
| 618 |
+
margin: 12px 0 0;
|
| 619 |
+
color: color-mix(in srgb, white 65%, var(--block));
|
| 620 |
+
font-size: 14px;
|
| 621 |
+
line-height: 1.6;
|
| 622 |
+
}
|
| 623 |
+
.task-tabs {
|
| 624 |
+
margin: 28px 0 22px;
|
| 625 |
+
}
|
| 626 |
+
.task-tabs button {
|
| 627 |
+
border-color: transparent;
|
| 628 |
+
background: color-mix(in srgb, var(--bg) 62%, var(--block));
|
| 629 |
+
border-radius: 6px;
|
| 630 |
+
font-size: 12px;
|
| 631 |
+
}
|
| 632 |
+
.task-tabs button.active {
|
| 633 |
+
border-color: transparent;
|
| 634 |
+
background: color-mix(in srgb, var(--block) 70%, var(--primary));
|
| 635 |
+
color: color-mix(in srgb, white 88%, var(--block));
|
| 636 |
+
}
|
| 637 |
+
.bar-list {
|
| 638 |
+
padding: 12px 0;
|
| 639 |
+
}
|
| 640 |
+
.bar-toggle {
|
| 641 |
+
display: grid;
|
| 642 |
+
place-items: center;
|
| 643 |
+
width: 46px;
|
| 644 |
+
height: 32px;
|
| 645 |
+
margin: 12px auto 0;
|
| 646 |
+
padding: 0;
|
| 647 |
+
border: 0;
|
| 648 |
+
border-radius: 999px;
|
| 649 |
+
background: transparent;
|
| 650 |
+
color: color-mix(in srgb, white 72%, var(--block));
|
| 651 |
+
cursor: pointer;
|
| 652 |
+
transition: background 160ms ease, color 160ms ease;
|
| 653 |
+
}
|
| 654 |
+
.bar-toggle:hover,
|
| 655 |
+
.bar-toggle:focus-visible {
|
| 656 |
+
background: color-mix(in srgb, var(--primary) 28%, transparent);
|
| 657 |
+
color: color-mix(in srgb, white 92%, var(--block));
|
| 658 |
+
outline: none;
|
| 659 |
+
}
|
| 660 |
+
.bar-toggle-chevron {
|
| 661 |
+
width: 10px;
|
| 662 |
+
height: 10px;
|
| 663 |
+
border-right: 1.5px solid currentColor;
|
| 664 |
+
border-bottom: 1.5px solid currentColor;
|
| 665 |
+
transform: translateY(-3px) rotate(45deg);
|
| 666 |
+
transition: transform 180ms ease;
|
| 667 |
+
}
|
| 668 |
+
.bar-toggle.expanded .bar-toggle-chevron {
|
| 669 |
+
transform: translateY(3px) rotate(225deg);
|
| 670 |
+
}
|
| 671 |
+
.bar-row {
|
| 672 |
+
display: grid;
|
| 673 |
+
grid-template-columns: 30px minmax(165px, 220px) 1fr 58px;
|
| 674 |
+
gap: 16px;
|
| 675 |
+
align-items: center;
|
| 676 |
+
min-height: 46px;
|
| 677 |
+
}
|
| 678 |
+
.bar-rank {
|
| 679 |
+
color: color-mix(in srgb, white 48%, var(--block));
|
| 680 |
+
font-size: 12px;
|
| 681 |
+
text-align: right;
|
| 682 |
+
}
|
| 683 |
+
.bar-name {
|
| 684 |
+
color: color-mix(in srgb, white 74%, var(--block));
|
| 685 |
+
overflow: hidden;
|
| 686 |
+
text-overflow: ellipsis;
|
| 687 |
+
white-space: nowrap;
|
| 688 |
+
font-size: 13px;
|
| 689 |
+
}
|
| 690 |
+
.bar-track {
|
| 691 |
+
position: relative;
|
| 692 |
+
height: 18px;
|
| 693 |
+
overflow: hidden;
|
| 694 |
+
border-radius: 4px;
|
| 695 |
+
background: color-mix(in srgb, var(--block) 88%, var(--primary));
|
| 696 |
+
}
|
| 697 |
+
.zero-line {
|
| 698 |
+
position: absolute;
|
| 699 |
+
z-index: 1;
|
| 700 |
+
top: 0;
|
| 701 |
+
bottom: 0;
|
| 702 |
+
left: var(--zero);
|
| 703 |
+
border-left: 1px solid color-mix(in srgb, var(--secondary) 45%, var(--bg));
|
| 704 |
+
}
|
| 705 |
+
.bar-fill {
|
| 706 |
+
position: absolute;
|
| 707 |
+
z-index: 2;
|
| 708 |
+
top: 2px;
|
| 709 |
+
bottom: 2px;
|
| 710 |
+
left: var(--start);
|
| 711 |
+
width: var(--width);
|
| 712 |
+
border-radius: 3px;
|
| 713 |
+
background: var(--primary);
|
| 714 |
+
}
|
| 715 |
+
.bar-fill.instruction-fill {
|
| 716 |
+
background: var(--instruction);
|
| 717 |
+
}
|
| 718 |
+
.bar-fill.negative {
|
| 719 |
+
background: color-mix(in srgb, var(--primary) 48%, var(--block));
|
| 720 |
+
}
|
| 721 |
+
.ci-band {
|
| 722 |
+
position: absolute;
|
| 723 |
+
z-index: 3;
|
| 724 |
+
top: 2px;
|
| 725 |
+
bottom: 2px;
|
| 726 |
+
left: var(--start);
|
| 727 |
+
width: var(--width);
|
| 728 |
+
border-radius: 3px;
|
| 729 |
+
background: color-mix(in srgb, white 30%, transparent);
|
| 730 |
+
}
|
| 731 |
+
.ci-band.instruction-band {
|
| 732 |
+
background: color-mix(in srgb, white 26%, transparent);
|
| 733 |
+
}
|
| 734 |
+
.ci-band.negative-band {
|
| 735 |
+
background: color-mix(in srgb, white 22%, transparent);
|
| 736 |
+
}
|
| 737 |
+
.bar-row strong {
|
| 738 |
+
color: color-mix(in srgb, white 83%, var(--block));
|
| 739 |
+
font-size: 13px;
|
| 740 |
+
font-weight: 500;
|
| 741 |
+
text-align: right;
|
| 742 |
+
font-variant-numeric: tabular-nums;
|
| 743 |
+
}
|
| 744 |
+
.empty-chart {
|
| 745 |
+
min-height: 320px;
|
| 746 |
+
display: grid;
|
| 747 |
+
place-items: center;
|
| 748 |
+
color: color-mix(in srgb, white 58%, var(--block));
|
| 749 |
+
border: 1px dashed var(--block);
|
| 750 |
+
background: var(--block);
|
| 751 |
+
margin-top: 20px;
|
| 752 |
+
border-radius: 8px;
|
| 753 |
+
font-size: 14px;
|
| 754 |
+
}
|
| 755 |
+
.empty-chart.short {
|
| 756 |
+
min-height: 180px;
|
| 757 |
+
}
|
| 758 |
+
.bottom-grid {
|
| 759 |
+
display: grid;
|
| 760 |
+
grid-template-columns: 1.15fr 0.85fr;
|
| 761 |
+
gap: 20px;
|
| 762 |
+
padding: 22px 0 46px;
|
| 763 |
+
}
|
| 764 |
+
.method-card,
|
| 765 |
+
.protocol-card {
|
| 766 |
+
padding: 32px 34px;
|
| 767 |
+
}
|
| 768 |
+
.method-card p:not(.eyebrow),
|
| 769 |
+
.protocol-card p:not(.eyebrow),
|
| 770 |
+
.protocol-card li {
|
| 771 |
+
color: color-mix(in srgb, white 70%, var(--block));
|
| 772 |
+
font-size: 14px;
|
| 773 |
+
line-height: 1.6;
|
| 774 |
+
}
|
| 775 |
+
.formula {
|
| 776 |
+
color: color-mix(in srgb, white 92%, var(--block)) !important;
|
| 777 |
+
font-size: 24px !important;
|
| 778 |
+
letter-spacing: -0.04em;
|
| 779 |
+
margin: 24px 0 18px;
|
| 780 |
+
}
|
| 781 |
+
.formula span {
|
| 782 |
+
color: color-mix(in srgb, white 78%, var(--block));
|
| 783 |
+
}
|
| 784 |
+
.protocol-card ul {
|
| 785 |
+
padding-left: 17px;
|
| 786 |
+
margin: 20px 0;
|
| 787 |
+
}
|
| 788 |
+
.protocol-card a {
|
| 789 |
+
color: color-mix(in srgb, white 84%, var(--block));
|
| 790 |
+
font-size: 14px;
|
| 791 |
+
font-weight: 500;
|
| 792 |
+
text-decoration-color: color-mix(in srgb, var(--primary) 55%, transparent);
|
| 793 |
+
text-underline-offset: 3px;
|
| 794 |
+
}
|
| 795 |
+
.protocol-card a:hover {
|
| 796 |
+
color: white;
|
| 797 |
+
}
|
| 798 |
+
.additional-card {
|
| 799 |
+
display: grid;
|
| 800 |
+
grid-template-columns: minmax(180px, 0.45fr) minmax(0, 1fr);
|
| 801 |
+
gap: 24px;
|
| 802 |
+
align-items: start;
|
| 803 |
+
margin-bottom: 22px;
|
| 804 |
+
padding: 30px 34px;
|
| 805 |
+
}
|
| 806 |
+
.additional-card .eyebrow {
|
| 807 |
+
margin-bottom: 9px;
|
| 808 |
+
}
|
| 809 |
+
.additional-card h2 {
|
| 810 |
+
margin: 0;
|
| 811 |
+
}
|
| 812 |
+
.credits-content {
|
| 813 |
+
max-width: 680px;
|
| 814 |
+
}
|
| 815 |
+
.credits-content p {
|
| 816 |
+
margin: 0;
|
| 817 |
+
color: color-mix(in srgb, white 70%, var(--block));
|
| 818 |
+
font-size: 14px;
|
| 819 |
+
line-height: 1.6;
|
| 820 |
+
}
|
| 821 |
+
.credits-content .credits-attribution {
|
| 822 |
+
margin-top: 14px;
|
| 823 |
+
color: color-mix(in srgb, white 58%, var(--block));
|
| 824 |
+
}
|
| 825 |
+
.credits-content a {
|
| 826 |
+
color: color-mix(in srgb, white 84%, var(--block));
|
| 827 |
+
text-decoration-color: color-mix(in srgb, var(--primary) 55%, transparent);
|
| 828 |
+
text-underline-offset: 3px;
|
| 829 |
+
}
|
| 830 |
+
.credits-content a:hover {
|
| 831 |
+
color: white;
|
| 832 |
+
}
|
| 833 |
+
footer {
|
| 834 |
+
color: color-mix(in srgb, white 50%, var(--block));
|
| 835 |
+
border-top: 1px solid var(--separator);
|
| 836 |
+
padding: 26px 0 38px;
|
| 837 |
+
font-size: 12px;
|
| 838 |
+
line-height: 1.6;
|
| 839 |
+
}
|
| 840 |
+
footer p {
|
| 841 |
+
margin: 0;
|
| 842 |
+
}
|
| 843 |
+
footer p + p {
|
| 844 |
+
margin-top: 4px;
|
| 845 |
+
}
|
| 846 |
+
footer a {
|
| 847 |
+
color: var(--secondary);
|
| 848 |
+
text-decoration: none;
|
| 849 |
+
}
|
| 850 |
+
footer a:hover,
|
| 851 |
+
footer a:focus-visible {
|
| 852 |
+
color: color-mix(in srgb, white 92%, var(--block));
|
| 853 |
+
text-decoration: underline;
|
| 854 |
+
}
|
| 855 |
+
@media (max-width: 760px) {
|
| 856 |
+
html,
|
| 857 |
+
body {
|
| 858 |
+
width: 100%;
|
| 859 |
+
}
|
| 860 |
+
main {
|
| 861 |
+
width: 100%;
|
| 862 |
+
max-width: none;
|
| 863 |
+
padding: 0 20px;
|
| 864 |
+
}
|
| 865 |
+
.hero {
|
| 866 |
+
grid-template-columns: 1fr;
|
| 867 |
+
gap: 35px;
|
| 868 |
+
min-height: 0;
|
| 869 |
+
padding: 52px 0 38px;
|
| 870 |
+
}
|
| 871 |
+
h1 { font-size: clamp(51px, 16vw, 72px); }
|
| 872 |
+
.hero-description { margin-top: 26px; font-size: 15px; }
|
| 873 |
+
.hero-kicker { flex-wrap: wrap; }
|
| 874 |
+
.summary-grid {
|
| 875 |
+
width: min(100%, 390px);
|
| 876 |
+
margin-inline: auto;
|
| 877 |
+
grid-template-columns: 1fr;
|
| 878 |
+
}
|
| 879 |
+
.summary-grid article {
|
| 880 |
+
display: grid;
|
| 881 |
+
align-content: center;
|
| 882 |
+
justify-items: center;
|
| 883 |
+
text-align: center;
|
| 884 |
+
padding-inline: 27px;
|
| 885 |
+
}
|
| 886 |
+
.summary-grid article + article {
|
| 887 |
+
padding-left: 27px;
|
| 888 |
+
}
|
| 889 |
+
.summary-index {
|
| 890 |
+
left: 0;
|
| 891 |
+
right: 0;
|
| 892 |
+
width: 100%;
|
| 893 |
+
transform: none;
|
| 894 |
+
text-align: center !important;
|
| 895 |
+
}
|
| 896 |
+
.summary-grid article > div {
|
| 897 |
+
position: absolute;
|
| 898 |
+
left: 0;
|
| 899 |
+
right: 0;
|
| 900 |
+
top: 58%;
|
| 901 |
+
width: auto;
|
| 902 |
+
max-width: none;
|
| 903 |
+
margin: 0;
|
| 904 |
+
display: grid !important;
|
| 905 |
+
justify-items: center;
|
| 906 |
+
gap: 2px;
|
| 907 |
+
transform: translateY(-50%);
|
| 908 |
+
text-align: center !important;
|
| 909 |
+
}
|
| 910 |
+
.summary-grid article > div > strong,
|
| 911 |
+
.summary-grid article > div > span {
|
| 912 |
+
display: block;
|
| 913 |
+
align-self: center;
|
| 914 |
+
text-align: center !important;
|
| 915 |
+
}
|
| 916 |
+
.summary-grid strong {
|
| 917 |
+
font-size: 30px;
|
| 918 |
+
}
|
| 919 |
+
.section-heading {
|
| 920 |
+
align-items: flex-start;
|
| 921 |
+
flex-direction: column;
|
| 922 |
+
}
|
| 923 |
+
.chart-controls {
|
| 924 |
+
align-items: flex-start;
|
| 925 |
+
flex-direction: column;
|
| 926 |
+
gap: 12px;
|
| 927 |
+
margin: 34px 0 18px;
|
| 928 |
+
}
|
| 929 |
+
.chart-controls .task-tabs {
|
| 930 |
+
justify-content: flex-start;
|
| 931 |
+
width: 100%;
|
| 932 |
+
overflow: visible;
|
| 933 |
+
flex-wrap: wrap;
|
| 934 |
+
gap: 4px;
|
| 935 |
+
}
|
| 936 |
+
.chart-controls .task-tabs button {
|
| 937 |
+
padding: 8px 9px;
|
| 938 |
+
font-size: 11px;
|
| 939 |
+
}
|
| 940 |
+
.filters,
|
| 941 |
+
.filter-stack {
|
| 942 |
+
width: 100%;
|
| 943 |
+
}
|
| 944 |
+
.leaderboard-controls {
|
| 945 |
+
width: 100%;
|
| 946 |
+
flex-direction: column;
|
| 947 |
+
align-items: stretch;
|
| 948 |
+
gap: 8px;
|
| 949 |
+
}
|
| 950 |
+
.top-filter-row {
|
| 951 |
+
width: 100%;
|
| 952 |
+
}
|
| 953 |
+
.top-filter-row .view-filter {
|
| 954 |
+
width: max-content;
|
| 955 |
+
}
|
| 956 |
+
.top-filter-row .filters {
|
| 957 |
+
width: auto;
|
| 958 |
+
flex: 1;
|
| 959 |
+
min-width: 0;
|
| 960 |
+
}
|
| 961 |
+
.filter-stack {
|
| 962 |
+
justify-items: stretch;
|
| 963 |
+
}
|
| 964 |
+
.size-filters {
|
| 965 |
+
justify-self: start;
|
| 966 |
+
width: max-content;
|
| 967 |
+
max-width: 100%;
|
| 968 |
+
flex-wrap: nowrap;
|
| 969 |
+
overflow-x: auto;
|
| 970 |
+
}
|
| 971 |
+
.filters button {
|
| 972 |
+
flex: 1;
|
| 973 |
+
}
|
| 974 |
+
.leaderboard-section {
|
| 975 |
+
padding: 52px 0 35px;
|
| 976 |
+
}
|
| 977 |
+
.landscape,
|
| 978 |
+
.score-panel {
|
| 979 |
+
padding: 22px 16px;
|
| 980 |
+
}
|
| 981 |
+
.legend {
|
| 982 |
+
flex-wrap: wrap;
|
| 983 |
+
white-space: normal;
|
| 984 |
+
}
|
| 985 |
+
.frontier-label {
|
| 986 |
+
margin-left: 0;
|
| 987 |
+
}
|
| 988 |
+
.scatter-area {
|
| 989 |
+
min-height: 0;
|
| 990 |
+
margin-top: 14px;
|
| 991 |
+
padding-bottom: 6px;
|
| 992 |
+
}
|
| 993 |
+
.scatter-area svg {
|
| 994 |
+
height: auto;
|
| 995 |
+
min-height: 0;
|
| 996 |
+
}
|
| 997 |
+
.chart-tooltip {
|
| 998 |
+
left: 50% !important;
|
| 999 |
+
min-width: 0;
|
| 1000 |
+
width: max-content;
|
| 1001 |
+
max-width: calc(100% - 20px);
|
| 1002 |
+
padding: 10px 12px;
|
| 1003 |
+
font-size: 12px;
|
| 1004 |
+
}
|
| 1005 |
+
.bar-row {
|
| 1006 |
+
grid-template-columns: 22px minmax(90px, 120px) 1fr 58px;
|
| 1007 |
+
gap: 9px;
|
| 1008 |
+
}
|
| 1009 |
+
.bar-name,
|
| 1010 |
+
.bar-row strong {
|
| 1011 |
+
font-size: 11px;
|
| 1012 |
+
}
|
| 1013 |
+
.bottom-grid {
|
| 1014 |
+
grid-template-columns: 1fr;
|
| 1015 |
+
}
|
| 1016 |
+
.method-card,
|
| 1017 |
+
.protocol-card {
|
| 1018 |
+
padding: 28px 24px;
|
| 1019 |
+
}
|
| 1020 |
+
.additional-card {
|
| 1021 |
+
grid-template-columns: 1fr;
|
| 1022 |
+
gap: 14px;
|
| 1023 |
+
padding: 26px 24px;
|
| 1024 |
+
}
|
| 1025 |
+
}
|
| 1026 |
+
@media (min-width: 761px) and (max-width: 1040px) {
|
| 1027 |
+
.hero { min-height: 620px; }
|
| 1028 |
+
.visual-tag { display: none; }
|
| 1029 |
+
}
|
| 1030 |
+
@media (prefers-reduced-motion: reduce) {
|
| 1031 |
+
html {
|
| 1032 |
+
scroll-behavior: auto;
|
| 1033 |
+
}
|
| 1034 |
+
}
|
src/app.html
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<!doctype html>
|
| 2 |
+
<html lang="en">
|
| 3 |
+
<head>
|
| 4 |
+
<meta charset="utf-8" />
|
| 5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1" />
|
| 6 |
+
<meta name="theme-color" content="#090a0d" />
|
| 7 |
+
<link rel="preconnect" href="https://fonts.googleapis.com" />
|
| 8 |
+
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
|
| 9 |
+
<link href="https://fonts.googleapis.com/css2?family=Manrope:wght@300;400;500&display=swap" rel="stylesheet" />
|
| 10 |
+
%sveltekit.head%
|
| 11 |
+
</head>
|
| 12 |
+
<body data-sveltekit-preload-data="hover">
|
| 13 |
+
<div style="display: contents">%sveltekit.body%</div>
|
| 14 |
+
</body>
|
| 15 |
+
</html>
|
src/lib/example-leaderboard.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"suite": "slm-benchmark-v1.1",
|
| 3 |
+
"generated_at": "Illustrative data — not an evaluation",
|
| 4 |
+
"models": [
|
| 5 |
+
{
|
| 6 |
+
"id": "demo-110m", "name": "Illustrative Base 110M", "params_m": 110,
|
| 7 |
+
"track": "base", "complete": true, "rank_range": [1, 2],
|
| 8 |
+
"composite": {"score": 16.8, "ci": [15.1, 18.6], "classification": "reliably above chance"},
|
| 9 |
+
"benchmarks": {
|
| 10 |
+
"hellaswag": {"score": 12.4, "ci": [10.7, 14.2]},
|
| 11 |
+
"piqa": {"score": 20.6, "ci": [17.1, 24.0]},
|
| 12 |
+
"arc_easy": {"score": 15.0, "ci": [11.5, 18.5]},
|
| 13 |
+
"arc_challenge": {"score": 7.1, "ci": [3.4, 10.7]},
|
| 14 |
+
"commonsense_qa": {"score": 8.9, "ci": [5.2, 12.6]},
|
| 15 |
+
"blimp": {"score": 27.2, "ci": [24.8, 29.6]}
|
| 16 |
+
}
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"id": "demo-160m", "name": "Illustrative Base 160M", "params_m": 160,
|
| 20 |
+
"track": "base", "complete": true, "rank_range": [1, 2],
|
| 21 |
+
"composite": {"score": 17.7, "ci": [16.0, 19.5], "classification": "reliably above chance"},
|
| 22 |
+
"benchmarks": {
|
| 23 |
+
"hellaswag": {"score": 13.9, "ci": [12.1, 15.6]},
|
| 24 |
+
"piqa": {"score": 22.1, "ci": [18.7, 25.4]},
|
| 25 |
+
"arc_easy": {"score": 16.3, "ci": [12.9, 19.7]},
|
| 26 |
+
"arc_challenge": {"score": 9.8, "ci": [6.1, 13.5]},
|
| 27 |
+
"commonsense_qa": {"score": 10.6, "ci": [7.1, 14.0]},
|
| 28 |
+
"blimp": {"score": 25.8, "ci": [23.5, 28.1]}
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"id": "demo-60m", "name": "Illustrative Base 60M", "params_m": 60,
|
| 33 |
+
"track": "base", "complete": true, "rank_range": [3, 3],
|
| 34 |
+
"composite": {"score": 5.6, "ci": [3.9, 7.4], "classification": "reliably above chance"},
|
| 35 |
+
"benchmarks": {
|
| 36 |
+
"hellaswag": {"score": 2.1, "ci": [0.5, 3.8]},
|
| 37 |
+
"piqa": {"score": 7.3, "ci": [4.0, 10.5]},
|
| 38 |
+
"arc_easy": {"score": 3.8, "ci": [0.8, 6.7]},
|
| 39 |
+
"arc_challenge": {"score": 1.4, "ci": [-2.4, 5.2]},
|
| 40 |
+
"commonsense_qa": {"score": 1.2, "ci": [-2.1, 4.4]},
|
| 41 |
+
"blimp": {"score": 13.6, "ci": [11.2, 16.0]}
|
| 42 |
+
}
|
| 43 |
+
}
|
| 44 |
+
]
|
| 45 |
+
}
|
src/lib/leaderboard.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
src/routes/+layout.js
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
export const prerender = true;
|
src/routes/+layout.svelte
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<script>
|
| 2 |
+
import '../app.css';
|
| 3 |
+
</script>
|
| 4 |
+
|
| 5 |
+
<slot />
|
src/routes/+page.svelte
ADDED
|
@@ -0,0 +1,450 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
<script>
|
| 2 |
+
import { onMount } from 'svelte';
|
| 3 |
+
import { fade, slide } from 'svelte/transition';
|
| 4 |
+
import evaluatedLeaderboard from '$lib/leaderboard.json';
|
| 5 |
+
import exampleLeaderboard from '$lib/example-leaderboard.json';
|
| 6 |
+
|
| 7 |
+
const core = [
|
| 8 |
+
{ id: 'average', label: 'Average' },
|
| 9 |
+
{ id: 'hellaswag', label: 'HellaSwag' },
|
| 10 |
+
{ id: 'piqa', label: 'PIQA' },
|
| 11 |
+
{ id: 'arc_easy', label: 'ARC-Easy' },
|
| 12 |
+
{ id: 'arc_challenge', label: 'ARC-Challenge' },
|
| 13 |
+
{ id: 'commonsense_qa', label: 'CommonsenseQA' },
|
| 14 |
+
{ id: 'blimp', label: 'BLiMP' }
|
| 15 |
+
];
|
| 16 |
+
|
| 17 |
+
let leaderboard = evaluatedLeaderboard;
|
| 18 |
+
let activeTrack = 'all';
|
| 19 |
+
let activeSize = 'all';
|
| 20 |
+
let activeMetric = 'average';
|
| 21 |
+
let loading = false;
|
| 22 |
+
let hover = null;
|
| 23 |
+
let filtered = [];
|
| 24 |
+
let completed = [];
|
| 25 |
+
let measuredCount = 0;
|
| 26 |
+
let allBars = [];
|
| 27 |
+
let bars = [];
|
| 28 |
+
let showAllBars = false;
|
| 29 |
+
let showAllTableRows = false;
|
| 30 |
+
let isMobile = false;
|
| 31 |
+
let sortKey = 'average';
|
| 32 |
+
let sortDirection = 'desc';
|
| 33 |
+
let sortedCompleted = [];
|
| 34 |
+
let visibleTableRows = [];
|
| 35 |
+
let simplifiedView = false;
|
| 36 |
+
|
| 37 |
+
const defaultBarCount = 10;
|
| 38 |
+
|
| 39 |
+
const number = (value) => Number(value).toFixed(1);
|
| 40 |
+
const parameterLabel = (params) => {
|
| 41 |
+
if (!Number.isFinite(Number(params))) return '—';
|
| 42 |
+
if (params >= 1000) return `${(params / 1000).toFixed(params >= 10_000 ? 1 : 2)}B`;
|
| 43 |
+
return `${Number(params).toFixed(params < 10 ? 2 : params < 100 ? 1 : 0)}M`;
|
| 44 |
+
};
|
| 45 |
+
const releaseDateLabel = (value) => /^\d{4}-\d{2}-\d{2}$/.test(String(value || "")) ? value : '—';
|
| 46 |
+
const vocabSizeLabel = (value) => {
|
| 47 |
+
const size = Number(value);
|
| 48 |
+
return Number.isFinite(size) && size > 0 ? size.toLocaleString('en-US') : '—';
|
| 49 |
+
};
|
| 50 |
+
const sizeBucket = (params) => {
|
| 51 |
+
const value = Number(params);
|
| 52 |
+
if (!Number.isFinite(value) || value < 10) return value;
|
| 53 |
+
return Math.round(value / 10) * 10;
|
| 54 |
+
};
|
| 55 |
+
const range = (value) => value?.length === 2 ? `${number(value[0])}–${number(value[1])}` : '—';
|
| 56 |
+
const displayRank = (model) => {
|
| 57 |
+
const [low, high] = model.rank_range || [];
|
| 58 |
+
if (!low) return '—';
|
| 59 |
+
return low === high ? `${low}` : `${low}–${high}`;
|
| 60 |
+
};
|
| 61 |
+
const metricFor = (model, metric = activeMetric) => metric === 'average'
|
| 62 |
+
? model.composite
|
| 63 |
+
: model.benchmarks?.[metric];
|
| 64 |
+
const scoreFor = (model, metric = activeMetric) => Number(metricFor(model, metric)?.score);
|
| 65 |
+
const metricLabel = (metric) => core.find((item) => item.id === metric)?.label || 'Average';
|
| 66 |
+
const modelHref = (model) => {
|
| 67 |
+
const source = String(model.source || '').trim();
|
| 68 |
+
if (!source) return null;
|
| 69 |
+
return /^https?:\/\//i.test(source) ? source : `https://huggingface.co/${source}`;
|
| 70 |
+
};
|
| 71 |
+
|
| 72 |
+
const sortValue = (model, key) => {
|
| 73 |
+
if (key === 'model') return String(model.name || '').toLocaleLowerCase();
|
| 74 |
+
if (key === 'parameters') return Number(model.params_m);
|
| 75 |
+
return scoreFor(model, key);
|
| 76 |
+
};
|
| 77 |
+
|
| 78 |
+
function setSort(key) {
|
| 79 |
+
if (sortKey === key) {
|
| 80 |
+
sortDirection = sortDirection === 'asc' ? 'desc' : 'asc';
|
| 81 |
+
return;
|
| 82 |
+
}
|
| 83 |
+
sortKey = key;
|
| 84 |
+
sortDirection = key === 'model' ? 'asc' : 'desc';
|
| 85 |
+
}
|
| 86 |
+
|
| 87 |
+
function sortedModels(models, key, directionValue) {
|
| 88 |
+
const direction = directionValue === 'asc' ? 1 : -1;
|
| 89 |
+
return [...models].sort((first, second) => {
|
| 90 |
+
const left = sortValue(first, key);
|
| 91 |
+
const right = sortValue(second, key);
|
| 92 |
+
const leftMissing = left === '' || (typeof left === 'number' && !Number.isFinite(left));
|
| 93 |
+
const rightMissing = right === '' || (typeof right === 'number' && !Number.isFinite(right));
|
| 94 |
+
if (leftMissing || rightMissing) return leftMissing === rightMissing ? 0 : leftMissing ? 1 : -1;
|
| 95 |
+
if (typeof left === 'number' && typeof right === 'number') return (left - right) * direction;
|
| 96 |
+
return String(left).localeCompare(String(right)) * direction;
|
| 97 |
+
});
|
| 98 |
+
}
|
| 99 |
+
|
| 100 |
+
$: filtered = (leaderboard.models || []).filter((model) =>
|
| 101 |
+
(activeTrack === 'all' || model.track === activeTrack) &&
|
| 102 |
+
(activeSize === 'all' || sizeBucket(model.params_m) <= Number(activeSize))
|
| 103 |
+
);
|
| 104 |
+
$: completed = filtered.filter((model) => model.complete && Number.isFinite(Number(model.params_m)));
|
| 105 |
+
$: sortedCompleted = sortedModels(completed, sortKey, sortDirection);
|
| 106 |
+
$: visibleTableRows = showAllTableRows ? sortedCompleted : sortedCompleted.slice(0, defaultBarCount);
|
| 107 |
+
$: measuredCount = (leaderboard.models || []).filter((model) => model.complete).length;
|
| 108 |
+
$: allBars = [...completed]
|
| 109 |
+
.filter((model) => Number.isFinite(scoreFor(model, activeMetric)))
|
| 110 |
+
.sort((a, b) => scoreFor(b, activeMetric) - scoreFor(a, activeMetric));
|
| 111 |
+
$: bars = showAllBars ? allBars : allBars.slice(0, defaultBarCount);
|
| 112 |
+
|
| 113 |
+
function paretoFrontier(models, metric) {
|
| 114 |
+
const ordered = [...models].sort((a, b) => Number(a.params_m) - Number(b.params_m));
|
| 115 |
+
let best = -Infinity;
|
| 116 |
+
return ordered.filter((model) => {
|
| 117 |
+
const score = scoreFor(model, metric);
|
| 118 |
+
if (!Number.isFinite(score) || score <= best) return false;
|
| 119 |
+
best = score;
|
| 120 |
+
return true;
|
| 121 |
+
});
|
| 122 |
+
}
|
| 123 |
+
|
| 124 |
+
function frontierGuide(models, chart, metric) {
|
| 125 |
+
const frontier = paretoFrontier(models, metric);
|
| 126 |
+
if (frontier.length < 2) return null;
|
| 127 |
+
const points = frontier.map((model) => ({
|
| 128 |
+
x: chart.parameterCoordinate(model.params_m),
|
| 129 |
+
y: scoreFor(model, metric)
|
| 130 |
+
}));
|
| 131 |
+
const meanX = points.reduce((sum, point) => sum + point.x, 0) / points.length;
|
| 132 |
+
const meanY = points.reduce((sum, point) => sum + point.y, 0) / points.length;
|
| 133 |
+
const denominator = points.reduce((sum, point) => sum + (point.x - meanX) ** 2, 0);
|
| 134 |
+
const slope = denominator ? points.reduce((sum, point) => sum + (point.x - meanX) * (point.y - meanY), 0) / denominator : 0;
|
| 135 |
+
const scoreAt = (x) => Math.max(chart.yMin, Math.min(chart.yMax, meanY + slope * (x - meanX)));
|
| 136 |
+
return {
|
| 137 |
+
x1: chart.xFromCoordinate(chart.xMin), y1: chart.y(scoreAt(chart.xMin)),
|
| 138 |
+
x2: chart.xFromCoordinate(chart.xMax), y2: chart.y(scoreAt(chart.xMax))
|
| 139 |
+
};
|
| 140 |
+
}
|
| 141 |
+
|
| 142 |
+
function chartModel(models, mobile = false, metric = 'average') {
|
| 143 |
+
const scores = models.map((model) => scoreFor(model, metric)).filter(Number.isFinite);
|
| 144 |
+
const parameterCoordinate = (value) => Math.sqrt(Number(value));
|
| 145 |
+
const parameterValues = models.map((model) => parameterCoordinate(model.params_m));
|
| 146 |
+
const xMin = Math.max(0, Math.floor(Math.min(...parameterValues) * 10) / 10 - 0.1);
|
| 147 |
+
const xMax = Math.ceil(Math.max(...parameterValues) * 10) / 10 + 0.1;
|
| 148 |
+
const yMin = Math.min(-5, Math.floor(Math.min(...scores) / 5) * 5 - 2);
|
| 149 |
+
const yMax = Math.max(10, Math.ceil(Math.max(...scores) / 5) * 5 + 2);
|
| 150 |
+
const width = mobile ? 820 : 1120;
|
| 151 |
+
const height = 390;
|
| 152 |
+
const pad = { left: 62, right: 28, top: 28, bottom: 52 };
|
| 153 |
+
const xFromCoordinate = (value) => pad.left + ((value - xMin) / (xMax - xMin || 1)) * (width - pad.left - pad.right);
|
| 154 |
+
const x = (value) => xFromCoordinate(parameterCoordinate(value));
|
| 155 |
+
const y = (value) => height - pad.bottom - ((value - yMin) / (yMax - yMin || 1)) * (height - pad.top - pad.bottom);
|
| 156 |
+
const yTicks = Array.from({ length: 5 }, (_, index) => yMin + (index * (yMax - yMin)) / 4);
|
| 157 |
+
const xTicks = Array.from({ length: 4 }, (_, index) => xMin + (index * (xMax - xMin)) / 3);
|
| 158 |
+
return { width, height, pad, xMin, xMax, yMin, yMax, x, xFromCoordinate, y, yTicks, xTicks, parameterCoordinate };
|
| 159 |
+
}
|
| 160 |
+
|
| 161 |
+
function tooltipPosition(event) {
|
| 162 |
+
const target = event.currentTarget;
|
| 163 |
+
const rect = target.closest('.scatter-area').getBoundingClientRect();
|
| 164 |
+
const targetRect = target.getBoundingClientRect();
|
| 165 |
+
const pointerX = Number.isFinite(event.clientX) ? event.clientX : targetRect.left + targetRect.width / 2;
|
| 166 |
+
const pointerY = Number.isFinite(event.clientY) ? event.clientY : targetRect.top + targetRect.height / 2;
|
| 167 |
+
const halfWidth = Math.min(112, Math.max(78, (rect.width - 20) / 2));
|
| 168 |
+
const left = Math.max(halfWidth + 10, Math.min(pointerX - rect.left, rect.width - halfWidth - 10));
|
| 169 |
+
return {
|
| 170 |
+
x: left,
|
| 171 |
+
y: Math.max(pointerY - rect.top - 16, 20)
|
| 172 |
+
};
|
| 173 |
+
}
|
| 174 |
+
|
| 175 |
+
function showTooltip(event, model) {
|
| 176 |
+
hover = { model, ...tooltipPosition(event) };
|
| 177 |
+
}
|
| 178 |
+
|
| 179 |
+
function moveTooltip(event) {
|
| 180 |
+
if (hover) hover = { ...hover, ...tooltipPosition(event) };
|
| 181 |
+
}
|
| 182 |
+
|
| 183 |
+
onMount(() => {
|
| 184 |
+
const media = window.matchMedia('(max-width: 760px)');
|
| 185 |
+
const updateViewport = () => isMobile = media.matches;
|
| 186 |
+
updateViewport();
|
| 187 |
+
media.addEventListener('change', updateViewport);
|
| 188 |
+
if (new URLSearchParams(window.location.search).get('demo') === '1') {
|
| 189 |
+
leaderboard = exampleLeaderboard;
|
| 190 |
+
}
|
| 191 |
+
return () => media.removeEventListener('change', updateViewport);
|
| 192 |
+
});
|
| 193 |
+
</script>
|
| 194 |
+
|
| 195 |
+
<svelte:head>
|
| 196 |
+
<title>Compact Language Model Index</title>
|
| 197 |
+
<meta name="description" content="A carefully scored compact language model benchmark from Universal Computing Research." />
|
| 198 |
+
</svelte:head>
|
| 199 |
+
|
| 200 |
+
<main>
|
| 201 |
+
<section class="hero" id="top">
|
| 202 |
+
<div class="hero-copy">
|
| 203 |
+
<div class="hero-kicker">
|
| 204 |
+
<p class="eyebrow">Small language model evaluation</p>
|
| 205 |
+
<span class="edition">Research index</span>
|
| 206 |
+
</div>
|
| 207 |
+
<h1>Compact<br />Language Model<br /><span>Index</span></h1>
|
| 208 |
+
<p class="hero-description">A fixed evaluation of compact language models across six benchmarks, with chance-normalized scores and 95% intervals</p>
|
| 209 |
+
<a class="hero-link" href="#leaderboard-title">Explore the leaderboard</a>
|
| 210 |
+
</div>
|
| 211 |
+
|
| 212 |
+
</section>
|
| 213 |
+
|
| 214 |
+
<section class="summary-grid" aria-label="Suite summary">
|
| 215 |
+
<article><span class="summary-index">Evaluation breadth</span><div class="summary-value"><strong>6</strong><span>core benchmarks</span></div></article>
|
| 216 |
+
<article><span class="summary-index">Linguistic depth</span><div class="summary-value"><strong>12</strong><span>BLiMP categories</span></div></article>
|
| 217 |
+
<article><span class="summary-index">Current sample</span><div class="summary-value"><strong>{loading ? '—' : measuredCount}</strong><span>models measured</span></div></article>
|
| 218 |
+
</section>
|
| 219 |
+
|
| 220 |
+
<section class="leaderboard-section" aria-labelledby="leaderboard-title">
|
| 221 |
+
<div class="section-heading table-heading">
|
| 222 |
+
<div>
|
| 223 |
+
<p class="eyebrow">Ranked results</p>
|
| 224 |
+
<h2 id="leaderboard-title">Core leaderboard</h2>
|
| 225 |
+
</div>
|
| 226 |
+
<div class="leaderboard-controls">
|
| 227 |
+
<div class="filter-stack">
|
| 228 |
+
<div class="top-filter-row">
|
| 229 |
+
<div class="filters view-filter">
|
| 230 |
+
<button class:active={simplifiedView} type="button" aria-pressed={simplifiedView} onclick={() => simplifiedView = !simplifiedView}>Simplified view</button>
|
| 231 |
+
</div>
|
| 232 |
+
<div class="filters" aria-label="Model track filter">
|
| 233 |
+
{#each [['all', 'All tracks'], ['base', 'Base'], ['instruction', 'Instruction']] as filter}
|
| 234 |
+
<button class:active={activeTrack === filter[0]} onclick={() => activeTrack = filter[0]}>{filter[1]}</button>
|
| 235 |
+
{/each}
|
| 236 |
+
</div>
|
| 237 |
+
</div>
|
| 238 |
+
<div class="size-filters" aria-label="Maximum parameter count">
|
| 239 |
+
{#each [['all', 'All'], ['10', '<10M'], ['50', '<50M'], ['100', '<100M'], ['300', '<300M']] as filter}
|
| 240 |
+
<button class:active={activeSize === filter[0]} onclick={() => activeSize = filter[0]}>{filter[1]}</button>
|
| 241 |
+
{/each}
|
| 242 |
+
</div>
|
| 243 |
+
</div>
|
| 244 |
+
</div>
|
| 245 |
+
</div>
|
| 246 |
+
|
| 247 |
+
<div class="table-wrap">
|
| 248 |
+
<table class:simplified={simplifiedView}>
|
| 249 |
+
<thead>
|
| 250 |
+
<tr>
|
| 251 |
+
<th>Rank</th>
|
| 252 |
+
<th class="sortable" class:sorted={sortKey === 'model'}><button class="sort-button" type="button" onclick={() => setSort('model')}>Model</button></th>
|
| 253 |
+
<th class="metadata-head" title="Hugging Face repository creation date">Release date</th>
|
| 254 |
+
<th class="sortable" class:sorted={sortKey === 'parameters'}><button class="sort-button" type="button" onclick={() => setSort('parameters')}>Parameters</button></th>
|
| 255 |
+
<th class="metadata-head">Vocab. size</th>
|
| 256 |
+
<th class="track-head">Track</th>
|
| 257 |
+
<th class="sortable score-head" class:sorted={sortKey === 'average'}><button class="sort-button" type="button" onclick={() => setSort('average')}>Average score <span>95% CI</span></button></th>
|
| 258 |
+
{#each core.slice(1) as metric}
|
| 259 |
+
<th class="sortable metric-head" class:sorted={sortKey === metric.id}><button class="sort-button" type="button" onclick={() => setSort(metric.id)}>{metric.label}</button></th>
|
| 260 |
+
{/each}
|
| 261 |
+
</tr>
|
| 262 |
+
</thead>
|
| 263 |
+
<tbody>
|
| 264 |
+
{#if loading}
|
| 265 |
+
<tr class="empty-row"><td colspan="13">Loading measured models…</td></tr>
|
| 266 |
+
{:else if !completed.length}
|
| 267 |
+
<tr class="empty-row"><td colspan="13">No complete results for this track yet.</td></tr>
|
| 268 |
+
{:else}
|
| 269 |
+
{#each visibleTableRows as model (model.id)}
|
| 270 |
+
{@const href = modelHref(model)}
|
| 271 |
+
<tr transition:fade={{ duration: 180 }}>
|
| 272 |
+
<td class="rank">{displayRank(model)}</td>
|
| 273 |
+
<td>
|
| 274 |
+
{#if href}
|
| 275 |
+
<a class="model-link" href={href} target="_blank" rel="noreferrer" aria-label={`Open ${model.name} on Hugging Face`}><span class="model-name">{model.name}</span></a>
|
| 276 |
+
{:else}
|
| 277 |
+
<span class="model-name">{model.name}</span>
|
| 278 |
+
{/if}
|
| 279 |
+
{#if model.source}<span class="model-source">{model.source}</span>{/if}
|
| 280 |
+
</td>
|
| 281 |
+
<td class="metadata">{releaseDateLabel(model.release_date)}</td>
|
| 282 |
+
<td>{parameterLabel(model.params_m)}</td>
|
| 283 |
+
<td class="metadata">{vocabSizeLabel(model.vocab_size)}</td>
|
| 284 |
+
<td class="track-cell"><span class:instruction={model.track === 'instruction'} class="track">{model.track === 'instruction' ? 'instruction' : 'base'}</span></td>
|
| 285 |
+
{#each core as metric, index}
|
| 286 |
+
{@const value = metricFor(model, metric.id)}
|
| 287 |
+
<td class:score-main={index === 0} class="metric">{#if value}{number(value.score)}<span>{range(value.ci)}</span>{:else}—{/if}</td>
|
| 288 |
+
{/each}
|
| 289 |
+
</tr>
|
| 290 |
+
{/each}
|
| 291 |
+
{/if}
|
| 292 |
+
</tbody>
|
| 293 |
+
</table>
|
| 294 |
+
</div>
|
| 295 |
+
{#if sortedCompleted.length > defaultBarCount}
|
| 296 |
+
<button
|
| 297 |
+
class="bar-toggle table-toggle"
|
| 298 |
+
class:expanded={showAllTableRows}
|
| 299 |
+
type="button"
|
| 300 |
+
aria-expanded={showAllTableRows}
|
| 301 |
+
aria-label={showAllTableRows ? `Show top ${defaultBarCount} models` : `Show all ${sortedCompleted.length} models`}
|
| 302 |
+
title={showAllTableRows ? `Show top ${defaultBarCount} models` : `Show all ${sortedCompleted.length} models`}
|
| 303 |
+
onclick={() => showAllTableRows = !showAllTableRows}
|
| 304 |
+
><span class="bar-toggle-chevron" aria-hidden="true"></span></button>
|
| 305 |
+
{/if}
|
| 306 |
+
</section>
|
| 307 |
+
|
| 308 |
+
<section class="chart-controls" aria-label="Chart metric selector">
|
| 309 |
+
<div>
|
| 310 |
+
<p class="eyebrow">Chart metric</p>
|
| 311 |
+
<p class="section-note">Select a benchmark to update both the scaling chart and score comparison below.</p>
|
| 312 |
+
</div>
|
| 313 |
+
<div class="task-tabs" aria-label="Benchmark score selector">
|
| 314 |
+
{#each core as metric}
|
| 315 |
+
<button class:active={activeMetric === metric.id} onclick={() => activeMetric = metric.id}>{metric.label}</button>
|
| 316 |
+
{/each}
|
| 317 |
+
</div>
|
| 318 |
+
</section>
|
| 319 |
+
|
| 320 |
+
<section class="panel landscape" aria-labelledby="landscape-title">
|
| 321 |
+
<div class="section-heading">
|
| 322 |
+
<div>
|
| 323 |
+
<p class="eyebrow">Model scaling</p>
|
| 324 |
+
<h2 id="landscape-title">Parameters and {metricLabel(activeMetric)} score</h2>
|
| 325 |
+
</div>
|
| 326 |
+
<div class="legend"><span class="legend-dot base"></span>Base <span class="legend-dot instruction"></span>Instruction-tuned <span class="frontier-label"><span class="frontier-key"></span>Pareto trend</span></div>
|
| 327 |
+
</div>
|
| 328 |
+
|
| 329 |
+
{#if completed.length}
|
| 330 |
+
{@const models = completed}
|
| 331 |
+
{@const chart = chartModel(models, isMobile, activeMetric)}
|
| 332 |
+
{@const frontier = frontierGuide(models, chart, activeMetric)}
|
| 333 |
+
<div class="scatter-area" role="group" aria-label={`Interactive ${metricLabel(activeMetric)} score scatter chart`}>
|
| 334 |
+
<svg viewBox={`0 0 ${chart.width} ${chart.height}`} preserveAspectRatio="xMidYMid meet" aria-label={`Scatter chart of model size and chance-normalized ${metricLabel(activeMetric)} score`} role="img">
|
| 335 |
+
<text class="axis-title" x="7" y={chart.height / 2} text-anchor="middle" transform={`rotate(-90 7 ${chart.height / 2})`}>Chance-normalized score</text>
|
| 336 |
+
{#each chart.yTicks as tick}
|
| 337 |
+
<line class="grid-line" x1={chart.pad.left} x2={chart.width - chart.pad.right} y1={chart.y(tick)} y2={chart.y(tick)} />
|
| 338 |
+
<text class="axis-text" x={chart.pad.left - 14} y={chart.y(tick) + 4} text-anchor="end">{number(tick)}</text>
|
| 339 |
+
{/each}
|
| 340 |
+
<line class="axis-line" x1={chart.pad.left} x2={chart.width - chart.pad.right} y1={chart.height - chart.pad.bottom} y2={chart.height - chart.pad.bottom} />
|
| 341 |
+
{#each chart.xTicks as tick}
|
| 342 |
+
<text class="axis-text" x={chart.xFromCoordinate(tick)} y={chart.height - 17} text-anchor="middle">{parameterLabel(tick ** 2)}</text>
|
| 343 |
+
{/each}
|
| 344 |
+
<text class="axis-title" x={chart.width / 2} y={chart.height - 1} dy="16" text-anchor="middle">Parameters (square-root scale)</text>
|
| 345 |
+
{#if frontier}
|
| 346 |
+
<line class="frontier-line" x1={frontier.x1} y1={frontier.y1} x2={frontier.x2} y2={frontier.y2} />
|
| 347 |
+
{/if}
|
| 348 |
+
{#each models as model (model.id)}
|
| 349 |
+
<circle
|
| 350 |
+
class:instruction-point={model.track === 'instruction'}
|
| 351 |
+
class="point"
|
| 352 |
+
cx={chart.x(model.params_m)}
|
| 353 |
+
cy={chart.y(scoreFor(model, activeMetric))}
|
| 354 |
+
r="7"
|
| 355 |
+
tabindex="0"
|
| 356 |
+
role="button"
|
| 357 |
+
aria-label={`${model.name}: ${parameterLabel(model.params_m)}, ${metricLabel(activeMetric)} score ${number(scoreFor(model, activeMetric))}`}
|
| 358 |
+
onmouseenter={(event) => showTooltip(event, model)}
|
| 359 |
+
onmousemove={moveTooltip}
|
| 360 |
+
onmouseleave={() => hover = null}
|
| 361 |
+
onfocus={(event) => showTooltip(event, model)}
|
| 362 |
+
onblur={() => hover = null}
|
| 363 |
+
/>
|
| 364 |
+
{/each}
|
| 365 |
+
</svg>
|
| 366 |
+
{#if hover}
|
| 367 |
+
<div class="chart-tooltip" style={`left:${hover.x}px; top:${hover.y}px`}>
|
| 368 |
+
<strong>{hover.model.name}</strong>
|
| 369 |
+
<span>{parameterLabel(hover.model.params_m)} parameters</span>
|
| 370 |
+
<b>{number(scoreFor(hover.model, activeMetric))} <em>{metricLabel(activeMetric)} score</em></b>
|
| 371 |
+
</div>
|
| 372 |
+
{/if}
|
| 373 |
+
</div>
|
| 374 |
+
{:else}
|
| 375 |
+
<div class="empty-chart">Completed evaluations will appear here.</div>
|
| 376 |
+
{/if}
|
| 377 |
+
</section>
|
| 378 |
+
|
| 379 |
+
<section class="panel score-panel" aria-labelledby="scores-title">
|
| 380 |
+
<div class="section-heading compact-heading">
|
| 381 |
+
<div>
|
| 382 |
+
<h2 id="scores-title">Model score comparison</h2>
|
| 383 |
+
<p class="section-note">The top 10 matching models are shown by default. This comparison uses the shared metric selected above.</p>
|
| 384 |
+
</div>
|
| 385 |
+
</div>
|
| 386 |
+
{#if bars.length}
|
| 387 |
+
{@const lower = Math.min(0, ...allBars.flatMap((model) => [scoreFor(model), metricFor(model, activeMetric)?.ci?.[0] ?? scoreFor(model)]))}
|
| 388 |
+
{@const upper = Math.max(10, ...allBars.flatMap((model) => [scoreFor(model), metricFor(model, activeMetric)?.ci?.[1] ?? scoreFor(model)]))}
|
| 389 |
+
<div class="bar-list" style={`--zero:${((0 - lower) / (upper - lower || 1)) * 100}%`}>
|
| 390 |
+
{#each bars as model, index (model.id)}
|
| 391 |
+
{@const score = scoreFor(model)}
|
| 392 |
+
{@const ci = metricFor(model, activeMetric)?.ci}
|
| 393 |
+
{@const scorePosition = ((score - lower) / (upper - lower || 1)) * 100}
|
| 394 |
+
<div class="bar-row" transition:slide={{ duration: 180 }}>
|
| 395 |
+
<span class="bar-rank">{index + 1}</span>
|
| 396 |
+
<span class="bar-name" title={model.name}>{model.name}</span>
|
| 397 |
+
<div class="bar-track"><i class="zero-line"></i><i class:negative={score < 0} class:instruction-fill={model.track === 'instruction'} class="bar-fill" style={`--start:${score < 0 ? scorePosition : ((0 - lower) / (upper - lower || 1)) * 100}%; --width:${Math.abs(score) / (upper - lower || 1) * 100}%`}></i>{#if ci}<i class:instruction-band={model.track === 'instruction'} class:negative-band={score < 0} class="ci-band" style={`--start:${((ci[0] - lower) / (upper - lower || 1)) * 100}%; --width:${((ci[1] - ci[0]) / (upper - lower || 1)) * 100}%`}></i>{/if}</div>
|
| 398 |
+
<strong>{number(score)}</strong>
|
| 399 |
+
</div>
|
| 400 |
+
{/each}
|
| 401 |
+
</div>
|
| 402 |
+
{#if allBars.length > defaultBarCount}
|
| 403 |
+
<button
|
| 404 |
+
class="bar-toggle"
|
| 405 |
+
class:expanded={showAllBars}
|
| 406 |
+
type="button"
|
| 407 |
+
aria-expanded={showAllBars}
|
| 408 |
+
aria-label={showAllBars ? `Show top ${defaultBarCount} models` : `Show all ${allBars.length} models`}
|
| 409 |
+
title={showAllBars ? `Show top ${defaultBarCount} models` : `Show all ${allBars.length} models`}
|
| 410 |
+
onclick={() => showAllBars = !showAllBars}
|
| 411 |
+
><span class="bar-toggle-chevron" aria-hidden="true"></span></button>
|
| 412 |
+
{/if}
|
| 413 |
+
{:else}
|
| 414 |
+
<div class="empty-chart short">No measured values for this selection.</div>
|
| 415 |
+
{/if}
|
| 416 |
+
</section>
|
| 417 |
+
|
| 418 |
+
<section class="bottom-grid">
|
| 419 |
+
<article class="panel method-card">
|
| 420 |
+
<p class="eyebrow">Scoring method</p>
|
| 421 |
+
<h3>Chance-normalized composite score</h3>
|
| 422 |
+
<p class="formula">100 × <span>(accuracy − chance)</span> / <span>(1 − chance)</span></p>
|
| 423 |
+
<p>For each benchmark, the observed result is normalized against its chance level: chance maps to 0 and a perfect result maps to 100.</p>
|
| 424 |
+
<p>HellaSwag, PIQA, and CommonsenseQA form a commonsense domain worth 50% of the composite, with each benchmark weighted equally within that domain. Science and world knowledge contribute 25% after combining ARC-Easy (75%) and ARC-Challenge (25%). BLiMP contributes the remaining 25% for grammatical competence and is macro-averaged across its 12 linguistic categories.</p>
|
| 425 |
+
<p>CommonsenseQA scores the likelihood of each full answer text with length normalization, rather than scoring the A–E answer label. This prevents a model’s letter preference from being mistaken for commonsense capability.</p>
|
| 426 |
+
<p>Each benchmark interval is a 95% percentile bootstrap. Model comparisons use paired bootstrap resampling on matched evaluation items. Results below chance remain negative, and rank ranges reflect comparisons that do not distinguish neighbouring models.</p>
|
| 427 |
+
</article>
|
| 428 |
+
<article class="panel protocol-card">
|
| 429 |
+
<p class="eyebrow">Evaluation protocol</p>
|
| 430 |
+
<h2>Curated evaluation</h2>
|
| 431 |
+
<p>CompactLMIndex is a curated benchmark, not an open intake list. We are establishing a Pareto-frontier baseline across model sizes and highlighting training or inference strategies that put a model ahead of its peers at a comparable parameter count.</p>
|
| 432 |
+
<ul><li>Complete core suite required for a rank</li><li>Zero-shot, non-chat log-likelihood prompts</li><li>Paired bootstrap comparisons on matched questions</li></ul>
|
| 433 |
+
<p>Every published result is independently checked through our internal verification process. Final inclusion and presentation decisions remain with Universal Computing Research.</p>
|
| 434 |
+
<p>If you have interesting results for a model you think is suitable for this benchmark, you can open a discussion on the Space for consideration.</p>
|
| 435 |
+
</article>
|
| 436 |
+
</section>
|
| 437 |
+
<section class="panel additional-card" aria-labelledby="credits-title">
|
| 438 |
+
<div>
|
| 439 |
+
<p class="eyebrow">Credits & scope</p>
|
| 440 |
+
<h2 id="credits-title">Efficiency at smaller scales</h2>
|
| 441 |
+
</div>
|
| 442 |
+
<div class="credits-content">
|
| 443 |
+
<p>CompactLMIndex looks at smaller language models. At this scale, architecture, training, and inference choices can make a real difference. Every model follows the same evaluation protocol, so results are compared fairly rather than by size alone.</p>
|
| 444 |
+
<p class="credits-attribution">Inspired by the <a href="https://huggingface.co/open-llm-leaderboard" target="_blank" rel="noreferrer">Open LLM Leaderboard</a>, <a href="https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard" target="_blank" rel="noreferrer">Axiomic Labs Open SLM Leaderboard</a>, and <a href="https://github.com/openai/parameter-golf" target="_blank" rel="noreferrer">OpenAI Parameter Golf</a>.</p>
|
| 445 |
+
</div>
|
| 446 |
+
</section>
|
| 447 |
+
<footer>
|
| 448 |
+
<p>Compact Language Model Index by <a href="https://huggingface.co/UniversalComputingResearch" target="_blank" rel="noreferrer">Universal Computing Research</a></p>
|
| 449 |
+
</footer>
|
| 450 |
+
</main>
|
svelte.config.js
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import adapter from '@sveltejs/adapter-static';
|
| 2 |
+
|
| 3 |
+
const config = {
|
| 4 |
+
kit: {
|
| 5 |
+
adapter: adapter()
|
| 6 |
+
}
|
| 7 |
+
};
|
| 8 |
+
|
| 9 |
+
export default config;
|
vite.config.js
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import { defineConfig } from 'vite';
|
| 2 |
+
import { sveltekit } from '@sveltejs/kit/vite';
|
| 3 |
+
|
| 4 |
+
export default defineConfig({
|
| 5 |
+
plugins: [sveltekit()]
|
| 6 |
+
});
|