v4 Schritt 2: Cookbook 2.0 — Use-Case-Setups (Stacks)

- recipes.py: 6 kuratierte Use-Case-Stacks (Coding, Vision, Chat, LongDoc, Agents, Fast).
- cookbook.py: /recipes (Stack-Fit pro Modell + Gesamturteil) + /install-recipe
  (download + register aller Modelle mit optimalem, gedeckeltem Kontext).
- cookbook.js: Use-Case-Karten als Haupteinstieg + Setup-Modal + 'Komplettes Setup
  installieren'; Roh-Suche in 'Profi-Modus' (collapsible).
- models.py /register: exists()-Check entfernt (fixt frischen Download-Install).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

recipes.py

@@ -0,0 +1,81 @@
+"""
+Kuratierte Use-Case-"Setups" (Stacks) fuers Cookbook 2.0.
+
+Idee: Der Nutzer waehlt *wofuer* er es braucht — nicht *welches Modell*. Jedes Setup ist eine
+Kombination aus Rollen (z.B. Haupt-Coder + schneller Coder + Vision). Hardware-Fit + optimaler
+Kontext werden zur Laufzeit aus der echten RAM-Groesse berechnet (hw_math), nicht hier hartkodiert.
+
+Daten, kein Code — bewusst getrennt (KISS/SoC). Repo/Datei sind unsloth-GGUFs auf HuggingFace.
+"""
+
+RECIPES = [
+    {
+        "id": "coding", "title": "Coden & Programmieren", "icon": "code",
+        "desc": "Ein starker Haupt-Coder, ein flinker für Autovervollständigung und Vision für Screenshots.",
+        "models": [
+            {"role": "coder", "name": "Qwen2.5 Coder 32B", "repo": "unsloth/Qwen2.5-Coder-32B-Instruct-GGUF",
+             "file": "Qwen2.5-Coder-32B-Instruct-Q4_K_M.gguf", "params_b": 32, "quant": "Q4_K_M",
+             "why": "Hauptmodell — versteht große Codebasen und komplexe Aufgaben."},
+            {"role": "coder-fast", "name": "Qwen2.5 Coder 7B", "repo": "unsloth/Qwen2.5-Coder-7B-Instruct-GGUF",
+             "file": "Qwen2.5-Coder-7B-Instruct-Q4_K_M.gguf", "params_b": 7, "quant": "Q4_K_M",
+             "why": "Schnelle Autovervollständigung & einfache Edits."},
+            {"role": "vision", "name": "Llama 3.2 Vision 11B", "repo": "unsloth/Llama-3.2-11B-Vision-Instruct-GGUF",
+             "file": "Llama-3.2-11B-Vision-Instruct-Q4_K_M.gguf", "params_b": 11, "quant": "Q4_K_M",
+             "why": "Liest Screenshots & Fehlerbilder für die Analyse."},
+        ],
+    },
+    {
+        "id": "vision", "title": "Bilder verstehen", "icon": "eye",
+        "desc": "Ein multimodales Modell, das Bilder und Text gemeinsam versteht.",
+        "models": [
+            {"role": "vision", "name": "Llama 3.2 Vision 11B", "repo": "unsloth/Llama-3.2-11B-Vision-Instruct-GGUF",
+             "file": "Llama-3.2-11B-Vision-Instruct-Q4_K_M.gguf", "params_b": 11, "quant": "Q4_K_M",
+             "why": "Beschreibt Bilder, liest Diagramme, analysiert Screenshots."},
+        ],
+    },
+    {
+        "id": "chat", "title": "Allrounder & Chat", "icon": "compass",
+        "desc": "Ein vielseitiges Modell für alltägliche Fragen, Texte und Brainstorming.",
+        "models": [
+            {"role": "scout", "name": "Qwen2.5 7B", "repo": "unsloth/Qwen2.5-7B-Instruct-GGUF",
+             "file": "Qwen2.5-7B-Instruct-Q4_K_M.gguf", "params_b": 7, "quant": "Q4_K_M",
+             "why": "Schneller, kluger Allrounder — guter Standard."},
+            {"role": "scout-pro", "name": "Qwen2.5 14B", "repo": "unsloth/Qwen2.5-14B-Instruct-GGUF",
+             "file": "Qwen2.5-14B-Instruct-Q4_K_M.gguf", "params_b": 14, "quant": "Q4_K_M",
+             "why": "Mehr Tiefe, wenn die Antworten besser sein sollen."},
+        ],
+    },
+    {
+        "id": "longdoc", "title": "Lange Dokumente", "icon": "file",
+        "desc": "Großes Modell mit großem Kontext — für lange Texte, Verträge, Bücher.",
+        "models": [
+            {"role": "reader", "name": "Qwen2.5 14B", "repo": "unsloth/Qwen2.5-14B-Instruct-GGUF",
+             "file": "Qwen2.5-14B-Instruct-Q4_K_M.gguf", "params_b": 14, "quant": "Q4_K_M",
+             "why": "Solide Qualität bei großem Kontextfenster (auto-optimiert)."},
+        ],
+    },
+    {
+        "id": "agents", "title": "Agenten & Tool-Use", "icon": "layers",
+        "desc": "Modelle, die gut mit Werkzeugen/Funktionen umgehen — für autonome Agenten.",
+        "models": [
+            {"role": "agent", "name": "Qwen2.5 32B", "repo": "unsloth/Qwen2.5-32B-Instruct-GGUF",
+             "file": "Qwen2.5-32B-Instruct-Q4_K_M.gguf", "params_b": 32, "quant": "Q4_K_M",
+             "why": "Stark im Function-Calling und mehrstufigem Denken."},
+            {"role": "agent-fast", "name": "Qwen2.5 7B", "repo": "unsloth/Qwen2.5-7B-Instruct-GGUF",
+             "file": "Qwen2.5-7B-Instruct-Q4_K_M.gguf", "params_b": 7, "quant": "Q4_K_M",
+             "why": "Schneller Helfer für einfache Tool-Schritte."},
+        ],
+    },
+    {
+        "id": "fast", "title": "Schnell & sparsam", "icon": "bolt",
+        "desc": "Kleine, flinke Modelle — ideal bei wenig Speicher oder für schnelle Antworten.",
+        "models": [
+            {"role": "mini", "name": "Qwen2.5 3B", "repo": "unsloth/Qwen2.5-3B-Instruct-GGUF",
+             "file": "Qwen2.5-3B-Instruct-Q4_K_M.gguf", "params_b": 3, "quant": "Q4_K_M",
+             "why": "Winzig & sehr schnell für einfache Aufgaben."},
+            {"role": "coder-fast", "name": "Qwen2.5 Coder 7B", "repo": "unsloth/Qwen2.5-Coder-7B-Instruct-GGUF",
+             "file": "Qwen2.5-Coder-7B-Instruct-Q4_K_M.gguf", "params_b": 7, "quant": "Q4_K_M",
+             "why": "Flinker Coder, falls es doch mal Code sein soll."},
+        ],
+    },
+]

routers/cookbook.py

@@ -8,11 +8,19 @@ from fastapi import APIRouter, Depends, HTTPException
 from pydantic import BaseModel
 import psutil
 
+from ruamel.yaml.scalarstring import LiteralScalarString
+
 from auth import auth
 from hw_math import evaluate_fit, max_ctx_for
+from config import MODELS_DIR, CMD_TEMPLATE, DEFAULT_TTL
+from llamaswap import read_config, write_config
+from jobengine import start_job, JOBS
+from recipes import RECIPES
 
 router = APIRouter(prefix="/api/cookbook", dependencies=[Depends(auth)])
 
+_FIT_ORDER = {"perfect": 0, "marginal": 1, "too_tight": 2}
+
 class AnalyzeRequest(BaseModel):
     repo_id: str
     ctx: int = 8192
@@ -22,6 +30,9 @@ class EvaluateRequest(BaseModel):
     quant: str
     ctx: int
 
+class InstallRecipeReq(BaseModel):
+    recipe_id: str
+
 def extract_params_b(repo_id: str) -> float:
     """Extrahiert die Parametergröße (in Milliarden) aus dem Repo-Namen."""
     # z.B. Qwen2.5-Coder-32B -> 32
@@ -100,3 +111,47 @@ def evaluate_single(req: EvaluateRequest):
     fit["optimal_ctx"] = max_ctx_for(req.params_b, req.quant, ram_gb)
     return fit
 
+
+@router.get("/recipes")
+def recipes():
+    """Use-Case-Setups mit Hardware-Fit pro Modell + Stack-Gesamturteil. Da llama-swap nur EIN
+    Modell gleichzeitig lädt, ist das Stack-Urteil der schlechteste (= größte) Einzel-Fit."""
+    ram_gb = psutil.virtual_memory().total / (1024 ** 3)
+    out = []
+    for r in RECIPES:
+        models, worst = [], "perfect"
+        for m in r["models"]:
+            fit = evaluate_fit(m["params_b"], m["quant"], 8192, ram_gb)
+            models.append({**m, "fit": fit, "optimal_ctx": max_ctx_for(m["params_b"], m["quant"], ram_gb)})
+            if _FIT_ORDER[fit["level"]] > _FIT_ORDER[worst]:
+                worst = fit["level"]
+        out.append({**r, "models": models, "fit_level": worst})
+    return {"recipes": out, "sys_ram_gb": round(ram_gb, 1)}
+
+
+@router.post("/install-recipe")
+def install_recipe(req: InstallRecipeReq):
+    """Komplettes Setup installieren: jedes Modell als Download-Job starten UND sofort mit
+    optimalem (gedeckeltem) Kontext in die config.yaml eintragen. llama-swap (-watch-config)
+    übernimmt es, sobald die Datei da ist."""
+    recipe = next((r for r in RECIPES if r["id"] == req.recipe_id), None)
+    if not recipe:
+        raise HTTPException(404, "Setup nicht gefunden.")
+    ram_gb = psutil.virtual_memory().total / (1024 ** 3)
+    cfg = read_config()
+    job_ids = []
+    for m in recipe["models"]:
+        target = MODELS_DIR / m["repo"].split("/")[-1]
+        target.mkdir(parents=True, exist_ok=True)
+        args = ["hf", "download", m["repo"], m["file"], "--local-dir", str(target)]
+        jid = start_job(args, f"download {m['name']}", env={"HF_XET_HIGH_PERFORMANCE": "1"})
+        JOBS[jid]["result_path"] = str(target / m["file"])
+        job_ids.append(jid)
+        # Eintrag jetzt schon schreiben — optimaler Kontext, aber gedeckelt fuer schnellen Erststart.
+        ctx = min(max_ctx_for(m["params_b"], m["quant"], ram_gb), 32768)
+        path = str(target / m["file"])
+        cmd = CMD_TEMPLATE.replace("{model}", path).replace("{ctx}", str(ctx))
+        cfg["models"][m["role"]] = {"cmd": LiteralScalarString(cmd + "\n"), "ttl": DEFAULT_TTL}
+    write_config(cfg)
+    return {"job_ids": job_ids, "count": len(recipe["models"])}
+

routers/models.py

@@ -145,8 +145,8 @@ def download(req: DownloadReq):
 
 @router.post("/register")
 def register(req: RegisterReq):
-    if not Path(req.model_path).exists():
+    # Bewusst KEIN exists()-Check: beim frischen Download läuft der hf-Job noch, die Datei kommt
-        raise HTTPException(404, f"Datei nicht gefunden: {req.model_path}")
+    # erst gleich. Eintrag jetzt schon schreiben → llama-swap (-watch-config) lädt, sobald sie da ist.
     cfg = read_config()
     cmd = CMD_TEMPLATE.replace("{model}", req.model_path).replace("{ctx}", str(req.ctx))
     cfg["models"][req.alias] = {

static/js/panels/cookbook.js

@@ -1,20 +1,9 @@
-// cookbook.js — "App-Store" für Modelle (v3): Hardware-Fit als Ampel, Klartext-Urteile.
+// cookbook.js — Cookbook 2.0 (v4): Use-Case-Setups („Wofür?") + Profi-Suche.
-// Backend: /api/cookbook/{analyze,evaluate} (hw_math), /api/download, /api/register.
+// Backend: /api/cookbook/{recipes,install-recipe,analyze,evaluate} (hw_math).
 
 import { api } from "../core/api.js";
 import { $, esc, icon, toast } from "../core/ui.js";
 
-const CURATED = [
-  { name: "Qwen 2.5 Coder 7B", repo: "unsloth/Qwen2.5-Coder-7B-Instruct-GGUF", file: "Qwen2.5-Coder-7B-Instruct-Q4_K_M.gguf",
-    desc: "Schnell und locker auf deiner Kiste — ideal zum Programmieren.", params_b: 7, quant: "Q4_K_M", ctx: 32768, alias: "coder-fast" },
-  { name: "Qwen 2.5 Coder 32B", repo: "unsloth/Qwen2.5-Coder-32B-Instruct-GGUF", file: "Qwen2.5-Coder-32B-Instruct-Q4_K_M.gguf",
-    desc: "Mehr Können, etwas langsamer — der starke Allround-Coder.", params_b: 32, quant: "Q4_K_M", ctx: 32768, alias: "coder" },
-  { name: "Llama 3.2 Vision 11B", repo: "unsloth/Llama-3.2-11B-Vision-Instruct-GGUF", file: "Llama-3.2-11B-Vision-Instruct-Q4_K_M.gguf",
-    desc: "Versteht Bilder und Text — gut für multimodale Aufgaben.", params_b: 11, quant: "Q4_K_M", ctx: 8192, alias: "vision" },
-  { name: "Qwen 2.5 7B", repo: "unsloth/Qwen2.5-7B-Instruct-GGUF", file: "Qwen2.5-7B-Instruct-Q4_K_M.gguf",
-    desc: "Hervorragender Allrounder — schnell und vielseitig.", params_b: 7, quant: "Q4_K_M", ctx: 8192, alias: "scout" },
-];
-
 const FILTERS = [
   { id: "", label: "Alle" }, { id: "coder", label: "Coder" }, { id: "scout", label: "Scout" },
   { id: "vision", label: "Vision" }, { id: "manager", label: "Manager" }, { id: "reviewer", label: "Reviewer" },
@@ -24,18 +13,29 @@ let lastSys = null;
 let currentResults = [];
 let currentAnalysis = null;
 let activeFilter = "";
+let RECIPES = [];
 
 const fitCls = lvl => lvl === "perfect" ? "ok" : lvl === "marginal" ? "warn" : "bad";
+const fitWord = lvl => lvl === "perfect" ? "Passt locker" : lvl === "marginal" ? "Wird knapp" : "Zu groß";
 
 function mount() {
   const c = $(".view[data-view='cookbook']");
   c.innerHTML = `
     <div class="pagehead"><div>
       <h1>Modell-Cookbook</h1>
-      <div class="sub">Finde ein KI-Modell, das auf deinen Mini-PC passt — den Hardware-Check rechnen wir für dich aus.</div>
+      <div class="sub">Wofür willst du es nutzen? Wir empfehlen das passende Setup für deine Hardware.</div>
     </div></div>
 
-    <div class="flex gap-3" style="margin:4px 0 6px">
+    <div class="card-h" style="align-items:center"><h3>Wofür möchtest du es nutzen?</h3>
+      <span class="chip" id="cb-hw">deine Hardware</span></div>
+    <div class="grid grid-3" id="cb-recipes">
+      <div class="empty" style="grid-column:1/-1;text-align:center">Lade Setups…</div>
+    </div>
+
+    <details class="guide-acc card" style="padding:0;overflow:hidden;margin-top:8px">
+      <summary>Profi-Modus: HuggingFace direkt durchsuchen</summary>
+      <div class="acc-body">
+        <div class="flex gap-3" style="margin-bottom:8px">
           <input id="cb-search" placeholder="Modell suchen, z.B. „Llama 3"…" style="margin:0;flex:1">
           <button class="primary" id="cb-btn-search" style="white-space:nowrap">Suchen</button>
         </div>
@@ -48,40 +48,44 @@ function mount() {
             <option value="trendingScore">Im Trend</option>
           </select>
         </div>
-
+        <div class="legend" style="margin:14px 0">
-    <div class="card-h" style="margin-top:18px;align-items:center">
-      <h3 id="cb-section-title">Empfohlen für deine Hardware</h3>
-      <span class="chip" id="cb-hw">deine Hardware</span>
-    </div>
-    <div class="legend mb-4">
           <span><i style="background:var(--on)"></i>passt locker</span>
           <span><i style="background:var(--warn)"></i>läuft, aber knapp</span>
           <span><i style="background:var(--err)"></i>zu groß für deinen Speicher</span>
         </div>
         <div class="grid grid-3" id="cb-grid"></div>
+      </div>
+    </details>
+
+    <div id="cb-recipe-modal" class="modal-overlay" style="display:none">
+      <div class="modal-card" style="max-width:580px">
+        <button id="cb-r-close" class="ghost" style="position:absolute;top:14px;right:14px">Schließen</button>
+        <h3 id="cb-r-title">Setup</h3>
+        <p class="text-mut text-sm" id="cb-r-desc" style="margin:-4px 0 16px"></p>
+        <div id="cb-r-models"></div>
+        <button class="primary" id="cb-r-install" style="width:100%;margin-top:16px">Komplettes Setup installieren</button>
+        <div class="hint" style="margin-top:8px">Lädt alle Modelle herunter und pflegt sie mit optimalem Kontext ein. Fortschritt in der Aktivität.</div>
+      </div>
+    </div>
 
     <div id="cb-modal" class="modal-overlay" style="display:none">
       <div class="modal-card" style="max-width:560px">
         <button id="cb-modal-close" class="ghost" style="position:absolute;top:14px;right:14px">Schließen</button>
         <h3 id="cb-m-title">Modell</h3>
         <p class="mono-sm" id="cb-m-repo" style="margin:-4px 0 16px">repo/name</p>
-
         <label>Quantisierung (GGUF-Datei) wählen</label>
         <select id="cb-m-files"></select>
         <div class="hint" id="cb-m-loading" style="display:none">Lade Dateien von HuggingFace…</div>
-
         <div class="row" style="margin-top:4px">
           <div><label>Alias (Rolle)</label><input id="cb-m-alias" placeholder="z.B. coder"></div>
           <div><label>Kontext-Größe</label><input id="cb-m-ctx" type="number" value="8192"></div>
         </div>
         <div class="hint" id="cb-m-ctx-rec" style="margin:-6px 0 14px"></div>
-
         <div id="cb-m-fit" class="tile" style="display:flex;justify-content:space-between;align-items:center;margin:8px 0 18px">
           <div><div style="font-size:13px">Ressourcen-Check</div>
             <div class="hint" id="cb-m-fit-text" style="margin:4px 0 0">Berechne…</div></div>
           <span id="cb-m-fit-badge"></span>
         </div>
-
         <button class="primary" id="cb-m-download" style="width:100%">Herunterladen &amp; Einpflegen</button>
       </div>
     </div>`;
@@ -96,75 +100,99 @@ function mount() {
   $("#cb-m-files").addEventListener("change", updateLiveFit);
   $("#cb-m-ctx").addEventListener("change", reanalyzeCtx);
   window.cbSetCtx = v => { $("#cb-m-ctx").value = v; reanalyzeCtx(); };
+  $("#cb-r-close").addEventListener("click", () => $("#cb-recipe-modal").style.display = "none");
+  $("#cb-recipe-modal").addEventListener("click", e => { if (e.target.id === "cb-recipe-modal") $("#cb-recipe-modal").style.display = "none"; });
 
   renderHwChip();
-  renderCurated();
+  loadRecipes();
 }
 
+// ---- Use-Case-Setups ----
+async function loadRecipes() {
+  try {
+    const d = await api("/api/cookbook/recipes");
+    RECIPES = d.recipes || [];
+    renderRecipes();
+  } catch (e) {
+    $("#cb-recipes").innerHTML = `<div class="alert err" style="grid-column:1/-1">Setups nicht ladbar: ${esc(e.message)}</div>`;
+  }
+}
+
+function renderRecipes() {
+  $("#cb-recipes").innerHTML = RECIPES.map(r => `
+    <button class="card-btn" data-recipe="${esc(r.id)}">
+      <div class="flex justify-between items-center">
+        <span class="flex items-center gap-2"><span class="text-accent">${icon(r.icon)}</span>
+          <h3 style="margin:0;font-size:15px">${esc(r.title)}</h3></span>
+        <span class="fit-badge ${fitCls(r.fit_level)}">${fitWord(r.fit_level)}</span>
+      </div>
+      <p>${esc(r.desc)}</p>
+      <div class="text-xs text-mut">${r.models.length} Modell${r.models.length > 1 ? "e" : ""} im Setup</div>
+    </button>`).join("");
+  $("#cb-recipes").querySelectorAll("[data-recipe]").forEach(b =>
+    b.addEventListener("click", () => openRecipe(b.getAttribute("data-recipe"))));
+}
+
+function openRecipe(id) {
+  const r = RECIPES.find(x => x.id === id); if (!r) return;
+  $("#cb-r-title").textContent = r.title;
+  $("#cb-r-desc").textContent = r.desc;
+  $("#cb-r-models").innerHTML = `<div class="list">${r.models.map(m => `
+    <div class="li" style="align-items:flex-start">
+      <div class="li-main">
+        <div class="flex items-center gap-2" style="flex-wrap:wrap">
+          <span class="li-id">${esc(m.name)}</span><span class="tag text">${esc(m.role)}</span></div>
+        <div class="li-sub">${esc(m.why)}</div>
+        <div class="li-sub mono-sm">~${m.fit.req_gb.toFixed(1)} GB · ~${Math.round(m.fit.tps)} Tok/s · optimal ~${Math.round(m.optimal_ctx / 1024)}k Kontext</div>
+      </div>
+      <span class="fit-badge ${fitCls(m.fit.level)}">${esc(m.fit.text)}</span>
+    </div>`).join("")}</div>`;
+  const btn = $("#cb-r-install");
+  btn.className = r.fit_level === "too_tight" ? "primary warn" : "primary";
+  btn.textContent = r.fit_level === "too_tight" ? "Trotzdem installieren (zu groß)" : "Komplettes Setup installieren";
+  btn.onclick = () => installRecipe(r.id);
+  $("#cb-recipe-modal").style.display = "flex";
+}
+
+async function installRecipe(id) {
+  const btn = $("#cb-r-install"); btn.disabled = true; btn.textContent = "Starte…";
+  try {
+    const r = await api("/api/cookbook/install-recipe", { method: "POST", body: JSON.stringify({ recipe_id: id }) });
+    toast(`Setup wird installiert (${r.count} Modelle) — siehe Aktivität.`);
+    $("#cb-recipe-modal").style.display = "none";
+    document.querySelector(".nav-item[data-view='activity']")?.click();
+  } catch (e) { toast("Fehler: " + e.message, true); }
+  btn.disabled = false; btn.textContent = "Komplettes Setup installieren";
+}
+
+// ---- Hardware-Chip / Filter ----
 function renderFilters() {
   $("#cb-filters").innerHTML = FILTERS.map(f =>
-    `<button class="${activeFilter === f.id ? "primary" : "ghost"}" data-f="${f.id}" style="border-radius:999px">${f.label}</button>`
+    `<button class="${activeFilter === f.id ? "primary" : "ghost"}" data-f="${f.id}" style="border-radius:999px">${f.label}</button>`).join("");
-  ).join("");
   $("#cb-filters").querySelectorAll("[data-f]").forEach(b =>
     b.addEventListener("click", () => { activeFilter = b.getAttribute("data-f"); renderFilters(); doSearch(); }));
 }
-
 function renderHwChip() {
   const el = $("#cb-hw"); if (!el) return;
-  if (lastSys?.ram?.total) {
+  if (lastSys?.ram?.total) el.innerHTML = `${icon("cpu")}${Math.round(lastSys.ram.total / 1024 ** 3)} GB Speicher`;
-    el.innerHTML = `${icon("cpu")}${Math.round(lastSys.ram.total / 1024 ** 3)} GB Speicher`;
-  }
 }
 
-// ---- Karten ----
+// ---- Profi-Suche (HuggingFace) ----
 function metricLine(fit) { return `~${fit.req_gb.toFixed(1)} GB · ~${Math.round(fit.tps)} Tok/s`; }
 
-function curatedCard(m, i, fit) {
-  return `<div class="card" style="display:flex;flex-direction:column;cursor:pointer" data-cur="${i}">
-    <div class="flex justify-between items-center"><h3 style="margin:0;font-size:15px;font-weight:500">${esc(m.name)}</h3>
-      <span class="fit-badge ${fitCls(fit.level)}">${esc(fit.text)}</span></div>
-    <div class="text-sm text-mut" style="margin:12px 0;flex:1;line-height:1.5">${esc(m.desc)}</div>
-    <div class="flex justify-between items-center text-xs text-mut" style="border-top:1px solid var(--line);padding-top:11px">
-      <span class="mono-sm">${metricLine(fit)}</span><span class="mono-sm">${esc(m.quant)}</span></div>
-  </div>`;
-}
-
-async function renderCurated() {
-  $("#cb-section-title").textContent = "Empfohlen für deine Hardware";
-  const grid = $("#cb-grid"); if (!grid) return;
-  grid.innerHTML = `<div class="empty" style="grid-column:1/-1;text-align:center">Berechne Hardware-Fit…</div>`;
-  try {
-    let html = "";
-    for (let i = 0; i < CURATED.length; i++) {
-      const m = CURATED[i];
-      const fit = await api("/api/cookbook/evaluate", { method: "POST", body: JSON.stringify({ params_b: m.params_b, quant: m.quant, ctx: m.ctx }) });
-      html += curatedCard(m, i, fit);
-    }
-    grid.innerHTML = html;
-    grid.querySelectorAll("[data-cur]").forEach(el => el.addEventListener("click", () => openCurated(+el.getAttribute("data-cur"))));
-  } catch (e) {
-    grid.innerHTML = `<div class="alert err" style="grid-column:1/-1">Konnte Empfehlungen nicht laden: ${esc(e.message)}</div>`;
-  }
-}
-
 async function doSearch() {
   let q = $("#cb-search").value.trim();
   if (activeFilter) q = q ? q + " " + activeFilter : activeFilter;
-  if (!q) return renderCurated();
+  if (!q) { $("#cb-grid").innerHTML = ""; return; }
-
   const sort = $("#cb-sort")?.value || "downloads";
   const btn = $("#cb-btn-search"); btn.disabled = true; btn.textContent = "Lade…";
-  $("#cb-section-title").textContent = "Suchergebnisse: " + q;
+  $("#cb-grid").innerHTML = `<div class="empty" style="grid-column:1/-1;text-align:center">Suche auf HuggingFace…</div>`;
-  const grid = $("#cb-grid");
-  grid.innerHTML = `<div class="empty" style="grid-column:1/-1;text-align:center">Suche auf HuggingFace…</div>`;
   try {
     const url = `https://huggingface.co/api/models?search=${encodeURIComponent(q)}&filter=gguf&sort=${encodeURIComponent(sort)}&direction=-1&limit=12`;
     const r = await fetch(url);
     currentResults = await r.json();
     renderResults(currentResults);
-  } catch (e) {
+  } catch (e) { $("#cb-grid").innerHTML = `<div class="alert err" style="grid-column:1/-1">${esc(e.message)}</div>`; }
-    grid.innerHTML = `<div class="alert err" style="grid-column:1/-1">${esc(e.message)}</div>`;
-  }
   btn.disabled = false; btn.textContent = "Suchen";
 }
 
@@ -196,12 +224,9 @@ async function fetchFitForCard(i, repo_id) {
     let best = res.files.find(f => f.quant?.includes("Q4_K_M")) || res.files[0];
     b.className = "fit-badge " + fitCls(best.fit.level); b.textContent = best.fit.text;
     mt.textContent = metricLine(best.fit) + " · " + (best.quant || "GGUF");
-  } catch {
+  } catch { const b = $("#cb-b-" + i); if (b) { b.className = "fit-badge bad"; b.textContent = "Fehler"; } }
-    const b = $("#cb-b-" + i); if (b) { b.className = "fit-badge bad"; b.textContent = "Fehler"; }
-  }
 }
 
-// ---- Modal ----
 function showFit() {
   const file = $("#cb-m-files").value;
   const f = currentAnalysis?.files.find(x => x.filename === file);
@@ -211,8 +236,7 @@ function showFit() {
   $("#cb-m-fit-badge").innerHTML = `<span class="fit-badge ${fitCls(f.fit.level)}">${esc(f.fit.text)}</span>`;
   const opt = f.optimal_ctx, recEl = $("#cb-m-ctx-rec");
   if (recEl) recEl.innerHTML = opt
-    ? `Empfohlener Kontext für deine Hardware: <b>~${Math.round(opt / 1024)}k</b> — <a href="#" onclick="event.preventDefault();window.cbSetCtx(${opt})">übernehmen</a>`
+    ? `Empfohlener Kontext für deine Hardware: <b>~${Math.round(opt / 1024)}k</b> — <a href="#" onclick="event.preventDefault();window.cbSetCtx(${opt})">übernehmen</a>` : "";
-    : "";
   const btn = $("#cb-m-download");
   if (f.fit.level === "too_tight") { btn.className = "primary warn"; btn.textContent = "Trotzdem holen (zu groß)"; }
   else { btn.className = "primary"; btn.textContent = "Herunterladen & Einpflegen"; }
@@ -253,19 +277,6 @@ async function openResult(i) {
   } catch (e) { $("#cb-m-loading").textContent = "Fehler: " + e.message; }
 }
 
-async function openCurated(i) {
-  const m = CURATED[i]; if (!m) return;
-  openModalBase(m.name, m.repo);
-  $("#cb-m-files").style.display = "block"; $("#cb-m-loading").style.display = "none";
-  $("#cb-m-files").innerHTML = `<option value="${esc(m.file)}">${esc(m.file)}</option>`;
-  $("#cb-m-alias").value = m.alias; $("#cb-m-ctx").value = m.ctx; $("#cb-m-download").disabled = false;
-  try {
-    const fit = await api("/api/cookbook/evaluate", { method: "POST", body: JSON.stringify({ params_b: m.params_b, quant: m.quant, ctx: m.ctx }) });
-    currentAnalysis = { repo: m.repo, params_b: m.params_b, files: [{ filename: m.file, quant: m.quant, fit, optimal_ctx: fit.optimal_ctx }] };
-    showFit();
-  } catch {}
-}
-
 async function doDownload() {
   const repo = $("#cb-m-repo").textContent, file = $("#cb-m-files").value;
   const alias = $("#cb-m-alias").value.trim(), ctx = parseInt($("#cb-m-ctx").value) || 8192;