chore: catalog api

src/pages/llmodels/config/test.ts

@@ -1,84 +0,0 @@
-export default [
-  {
-    name: 'gpustack/bge-m3-GGUF',
-    tags: ['Embedding', 'GGUF', 'bert'],
-    description:
-      'It can simultaneously perform the three common retrieval functionalities of embedding model: dense retrieval, multi-vector retrieval, and sparse retrieval.',
-    size: ['567M']
-  },
-  {
-    name: 'gpustack/stable-diffusion-v3-5-medium-GGUF',
-    tags: ['Text-to-Image', 'GGUF'],
-    description:
-      'Stable Diffusion 3.5 Medium is a Multimodal Diffusion Transformer with improvements (MMDiT-X) text-to-image model that features improved performance in image quality, typography, complex prompt understanding, and resource-efficiency.',
-    size: ['8B']
-  },
-  {
-    name: 'gpustack/stable-diffusion-v3-5-large-GGUF',
-    tags: ['Text-to-Image', 'GGUF'],
-    description:
-      'Stable Diffusion 3.5 Large is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features improved performance in image quality, typography, complex prompt understanding, and resource-efficiency',
-    size: ['14B']
-  },
-  {
-    name: 'gpustack/jina-reranker-v1-tiny-en-GGUF',
-    tags: ['Rerank', 'GGUF', 'jina-bert-v2'],
-    description:
-      'his model is designed for blazing-fast reranking while maintaining competitive performance.',
-    size: ['Q8_0', 'Q4_0']
-  },
-  {
-    name: 'gpustack/stable-diffusion-v1-5-inpainting-GGUF',
-    tags: ['Text-to-Image', 'GGUF'],
-    description:
-      'Stable Diffusion Inpainting is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask',
-    size: ['1B', 'Q8_0', 'Q4_0']
-  },
-  {
-    name: 'gpustack/Llama-3.2-3B-Instruct-GGUF',
-    tags: ['Text-to-Text', 'GGUF', 'llama'],
-    description:
-      'The Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned generative models in 1B and 3B sizes (text in/text out).',
-    size: ['1B', 'Q8_0', 'Q4_0']
-  },
-  {
-    name: 'gpustack/faster-whisper-large-v1',
-    description:
-      'This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.',
-    tags: ['Speech-to-Text'],
-    size: []
-  },
-  {
-    name: 'gpustack/faster-distil-whisper-medium.en',
-    description:
-      'This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.',
-    tags: ['Speech-to-Text']
-  },
-  {
-    name: 'gpustack/CosyVoice-300M',
-    description:
-      'This model is a lightweight, fast, and efficient text-to-speech model that can be used in various applications.',
-    tags: ['Text-to-Speech']
-  },
-  {
-    name: 'gpustack/FLUX.1-mini-GGUF',
-    tags: ['Text-to-Image', 'GGUF'],
-    description:
-      'A 3.2B MMDiT distilled from Flux-dev for efficient text-to-image generation',
-    size: ['8B', 'Q8_0', 'Q4_0', 'FP16']
-  },
-  {
-    name: 'gpustack/stable-diffusion-v3-5-large-turbo-GGUF',
-    tags: ['Text-to-Image', 'GGUF'],
-    description:
-      'Stable Diffusion 3.5 Large Turbo is a Multimodal Diffusion Transformer (MMDiT) text-to-image model with Adversarial Diffusion Distillation (ADD)',
-    size: ['14B', 'Q8_0', 'Q4_0']
-  },
-  {
-    name: 'gpustack/FLUX.1-lite-GGUF',
-    description:
-      'This version uses 7 GB less RAM and runs 23% faster while maintaining the same precision (bfloat16) as the original model',
-    tags: ['Text-to-Image', 'GGUF'],
-    size: ['14B', 'Q8_0', 'Q4_0']
-  }
-];

src/pages/llmodels/config/types.ts

@@ -31,6 +31,8 @@ export interface ListItem {
 
 export interface FormData {
   backend?: string;
+  size?: number;
+  quantization?: number;
   categories?: string[];
   backend_parameters?: string[];
   backend_version?: string;
@@ -118,3 +120,16 @@ export interface GPUListItem {
   worker_name: string;
   worker_ip: string;
 }
+
+export interface CatalogItem {
+  name: string;
+  id: number;
+  description: string;
+  home: string;
+  icon: string;
+  categories: string[];
+  capabilities: string[];
+  sizes: number[];
+  licenses: string[];
+  release_date: string;
+}