[
  {
    "name": "BAAI/bge-small-en-v1.5",
    "dim": 384,
    "description": "Fast, lightweight English embeddings. Default model.",
    "hf_repo": "qdrant/bge-small-en-v1.5-onnx-q",
    "model_file": "model_optimized.onnx",
    "additional_files": ["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json"],
    "checksums": {
      "model_optimized.onnx": "51f1bd0addd6e859e42c2c8021a5e5461385bb676a649f4b269aa445449f2431",
      "tokenizer.json": "d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66",
      "tokenizer_config.json": "0b29c7bfc889e53b36d9dd3e686dd4300f6525110eaa98c76a5dafceb2029f53",
      "special_tokens_map.json": "5d5b662e421ea9fac075174bb0688ee0d9431699900b90662acd44b2a350503a"
    },
    "size_gb": 0.067,
    "license": "mit",
    "default": true
  },
  {
    "name": "BAAI/bge-base-en-v1.5",
    "dim": 768,
    "description": "Balanced English embeddings, better quality than small.",
    "hf_repo": "qdrant/bge-base-en-v1.5-onnx-q",
    "model_file": "model_optimized.onnx",
    "additional_files": ["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json"],
    "size_gb": 0.21,
    "license": "mit",
    "default": false
  },
  {
    "name": "BAAI/bge-large-en-v1.5",
    "dim": 1024,
    "description": "High-quality English embeddings, highest accuracy in BGE family.",
    "hf_repo": "qdrant/bge-large-en-v1.5-onnx-q",
    "model_file": "model_optimized.onnx",
    "additional_files": ["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json"],
    "size_gb": 0.59,
    "license": "mit",
    "default": false
  },
  {
    "name": "sentence-transformers/all-MiniLM-L6-v2",
    "dim": 384,
    "description": "Popular general-purpose sentence embeddings, widely supported.",
    "hf_repo": "qdrant/all-MiniLM-L6-v2-onnx-Q",
    "model_file": "model_optimized.onnx",
    "additional_files": ["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json"],
    "size_gb": 0.09,
    "license": "apache-2.0",
    "default": false
  },
  {
    "name": "nomic-ai/nomic-embed-text-v1.5",
    "dim": 768,
    "description": "Long context (8192 tokens) English embeddings.",
    "hf_repo": "nomic-ai/nomic-embed-text-v1.5-ONNX",
    "model_file": "model_quantized.onnx",
    "additional_files": ["tokenizer.json", "tokenizer_config.json"],
    "size_gb": 0.13,
    "license": "apache-2.0",
    "default": false
  },
  {
    "name": "intfloat/multilingual-e5-small",
    "dim": 384,
    "description": "Multilingual embeddings, 100+ languages, small.",
    "hf_repo": "qdrant/multilingual-e5-small-onnx",
    "model_file": "model_optimized.onnx",
    "additional_files": ["tokenizer.json", "tokenizer_config.json", "sentencepiece.bpe.model"],
    "size_gb": 0.12,
    "license": "mit",
    "default": false
  },
  {
    "name": "intfloat/multilingual-e5-base",
    "dim": 768,
    "description": "Multilingual embeddings, 100+ languages, base.",
    "hf_repo": "qdrant/multilingual-e5-base-onnx",
    "model_file": "model_optimized.onnx",
    "additional_files": ["tokenizer.json", "tokenizer_config.json", "sentencepiece.bpe.model"],
    "size_gb": 0.27,
    "license": "mit",
    "default": false
  },
  {
    "name": "mixedbread-ai/mxbai-embed-large-v1",
    "dim": 1024,
    "description": "High-performance English embeddings, strong MTEB scores.",
    "hf_repo": "mixedbread-ai/mxbai-embed-large-v1-onnx-int8",
    "model_file": "model.onnx",
    "additional_files": ["tokenizer.json", "tokenizer_config.json"],
    "size_gb": 0.56,
    "license": "apache-2.0",
    "default": false
  },
  {
    "name": "Alibaba-NLP/gte-base-en-v1.5",
    "dim": 768,
    "description": "Strong English embeddings from Alibaba NLP.",
    "hf_repo": "qdrant/gte-base-en-v1.5-onnx-q",
    "model_file": "model_optimized.onnx",
    "additional_files": ["tokenizer.json", "tokenizer_config.json"],
    "size_gb": 0.21,
    "license": "apache-2.0",
    "default": false
  },
  {
    "name": "BAAI/bge-m3",
    "dim": 1024,
    "description": "Multilingual, multi-granularity embeddings. 100+ languages.",
    "hf_repo": "qdrant/bge-m3-onnx-q",
    "model_file": "model_optimized.onnx",
    "additional_files": ["tokenizer.json", "tokenizer_config.json"],
    "size_gb": 1.2,
    "license": "mit",
    "default": false
  }
]