import type { StudioModelRecommendation, StudioStarterPreset } from "./types"; /** * First-run presets shown when a controller has no recipes yet. Three lanes: * a serious local model, a small fast local model, and a remote endpoint — * so every machine (and no machine at all) has a working first chat. */export const STUDIO_STARTER_PRESETS: StudioStarterPreset[] = [  {    id: "qwen3-6-35b",    name: "Qwen3.6 35B",    description:      "Hybrid MoE in native FP4 — frontier-class local chat, tool use, and reasoning on a single Blackwell GPU.",    kind: "download",    tags: ["local", "reasoning", "tool-use", "recommended"],    size_gb: 20,    min_vram_gb: 24,    model_id: "nvidia/Qwen3.6-35B-A3B-NVFP4",    backend: "vllm",    recipe_overrides: {      served_model_name: "qwen3.6-35b",      max_model_len: 131072,      tool_call_parser: "qwen3_coder",      reasoning_parser: "qwen3",      enable_auto_tool_choice: true,      trust_remote_code: true,    },  },  {    id: "lfm2-5",    name: "LFM2.5 8B",    description:      "Liquid AI's on-device MoE (8B-A1B, Q4_K_M) — a ~5 GB download that chats instantly on modest hardware.",    kind: "download",    tags: ["local", "fast", "small"],    size_gb: 5,    min_vram_gb: null,    model_id: "LiquidAI/LFM2.5-8B-A1B-GGUF",    allow_patterns: ["*Q4_K_M.gguf"],    backend: "llamacpp",    gguf_file: "LFM2.5-8B-A1B-Q4_K_M.gguf",    recipe_overrides: {      served_model_name: "lfm2.5",      max_model_len: 32768,    },  },  {    id: "deepseek-v4-flash",    name: "DeepSeek V4 Flash",    description:      "Connect a hosted endpoint with one API key — full-strength chat with nothing to download.",    kind: "remote",    tags: ["remote", "instant"],    size_gb: null,    min_vram_gb: null,    remote: {      base_url: "http://pop-os-1.tailadb2c1.ts.net:8080/v1",      model: "deepseek-v4-flash",    },  },]; export const STUDIO_MODEL_RECOMMENDATIONS: StudioModelRecommendation[] = [  {    id: "meta-llama/Llama-4-Maverick-17B-128E-Instruct",    name: "Llama 4 Maverick 17Bx128E",    size_gb: 160,    min_vram_gb: 140,    description: "Meta's latest MoE flagship — 400B+ params, top-tier reasoning.",    tags: ["chat", "reasoning", "flagship"],  },  {    id: "Qwen/Qwen3-235B-A22B",    name: "Qwen3 235B (A22B MoE)",    size_gb: 150,    min_vram_gb: 130,    description: "Qwen's largest MoE model with thinking/non-thinking modes.",    tags: ["chat", "reasoning", "multilingual", "flagship"],  },  {    id: "deepseek-ai/DeepSeek-R1",    name: "DeepSeek R1",    size_gb: 160,    min_vram_gb: 140,    description: "Top-tier open reasoning model, 671B MoE.",    tags: ["reasoning", "code", "flagship"],  },  {    id: "meta-llama/Llama-4-Scout-17B-16E-Instruct",    name: "Llama 4 Scout 17Bx16E",    size_gb: 38,    min_vram_gb: 34,    description: "Efficient Llama 4 MoE variant with 10M token context.",    tags: ["chat", "long-context", "recommended"],  },  {    id: "Qwen/Qwen3-32B",    name: "Qwen3 32B",    size_gb: 64,    min_vram_gb: 48,    description: "Dense 32B with built-in thinking — strong all-rounder.",    tags: ["chat", "reasoning", "code", "recommended"],  },  {    id: "meta-llama/Llama-3.3-70B-Instruct",    name: "Llama 3.3 70B Instruct",    size_gb: 140,    min_vram_gb: 80,    description: "Latest Llama 3.3 dense model, excellent instruction following.",    tags: ["chat", "general", "recommended"],  },  {    id: "mistralai/Mistral-Small-24B-Instruct-2501",    name: "Mistral Small 24B",    size_gb: 48,    min_vram_gb: 32,    description: "Mistral's latest efficient model with strong tool use.",    tags: ["chat", "tool-use", "fast"],  },  {    id: "google/gemma-3-27b-it",    name: "Gemma 3 27B",    size_gb: 54,    min_vram_gb: 40,    description: "Google's latest open model — multilingual, vision-ready.",    tags: ["chat", "multilingual", "vision"],  },  {    id: "Qwen/Qwen3-14B",    name: "Qwen3 14B",    size_gb: 28,    min_vram_gb: 20,    description: "Great quality-to-size ratio with thinking mode.",    tags: ["chat", "reasoning", "fast"],  },  {    id: "meta-llama/Llama-3.1-8B-Instruct",    name: "Llama 3.1 8B",    size_gb: 16,    min_vram_gb: 12,    description: "Fast and reliable for single-GPU setups.",    tags: ["chat", "fast", "starter"],  },  {    id: "Qwen/Qwen3-8B",    name: "Qwen3 8B",    size_gb: 16,    min_vram_gb: 12,    description: "Compact model with thinking and tool-use support.",    tags: ["chat", "reasoning", "fast", "starter"],  },  {    id: "microsoft/Phi-4",    name: "Phi-4 14B",    size_gb: 28,    min_vram_gb: 20,    description: "Microsoft's latest small-but-capable reasoning model.",    tags: ["chat", "reasoning", "code"],  },];