{"v":1,"id":"model:hf:mixedbread-ai/mxbai-embed-large-v1","slug":"model-mixedbread-ai-mxbai-embed-large-v1","kind":"model","category":"embedding","title":"mxbai-embed-large-v1","summary":"embedding model by mixedbread-ai, gguf files on Hugging Face.","source":{"provider":"hf","ref":"mixedbread-ai/mxbai-embed-large-v1","url":"https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1","rev":"b33106f585b9ce46904ad7443a3b52b7a63e231c","fetchedAt":"2026-10-02T21:01:20.425Z","etag":"W/\"24e9c-OnKo1Lmmyzx1Xa0xGXUbHiZCmHg\""},"author":{"name":"mixedbread-ai","url":"https://huggingface.co/mixedbread-ai"},"license":{"spdx":"apache-2.0","raw":"apache-2.0","open":true},"metrics":{"downloads":1983334,"downloadsWeek":4402710,"likes":826,"takenAt":"2026-10-02T21:01:20.425Z"},"tags":["sentence-transformers","onnx","safetensors","openvino","gguf","bert","feature-extraction","mteb","transformers.js","transformers","en","model-index","text-embeddings-inference","endpoints_compatible"],"pipeline":"feature-extraction","links":{"github":"mixedbread-ai/batched","npm":"@huggingface/transformers"},"updatedAt":"2026-01-23T11:59:58.000Z","collectedAt":"2026-10-02T21:01:20.425Z","review":{"numbers":["1,983,334 downloads on Hugging Face","826 likes","license apache-2.0","0.6 GB for gguf/mxbai-embed-large-v1-f16.gguf","4,402,710 npm downloads a week for @huggingface/transformers","latest @huggingface/transformers@4.3.0"],"log":null},"trust":"unlabeled","health":{"status":"alive","checkedAt":"2026-10-02T21:01:20.425Z","http":200},"description":"---\ntags:\n- mteb\n- transformers.js\n- transformers\nmodel-index:\n- name: mxbai-angle-large-v1\n  results:\n  - task:\n      type: Classification\n    dataset:\n      type: mteb/amazon_counterfactual\n      name: MTEB AmazonCounterfactualClassification (en)\n      config: en\n      split: test\n      revision: e8379541af4e31359cca9fbcf4b00f2671dba205\n    metrics:\n    - type: accuracy\n      value: 75.044776119403\n    - type: ap\n      value: 37.7362433623053\n    - type: f1\n      value: 68.92736573359774\n  - task:\n      type: Classification\n    dataset:\n      type: mteb/amazon_polarity\n      name: MTEB AmazonPolarityClassification\n      config: default\n      split: test\n      revision: e2d317d38cd51312af73b3d32a06d1a08b442046\n    metrics:\n    - type: accuracy\n      value: 93.84025000000001\n    - type: ap\n      value: 90.93190875404055\n    - type: f1\n      value: 93.8297833897293\n  - task:\n      type: Classification\n    dataset:\n      type: mteb/amazon_reviews_multi\n      name: MTEB AmazonReviewsClassification (en)\n      config: en\n      split: test\n      revision: 1399c76144fd37290681b995c656ef9b2e06e26d\n    metrics:\n    - type: accuracy\n      value: 49.184\n    - type: f1\n      value: 48.74163227751588\n  - task:\n      type: Retrieval\n    dataset:\n      type: arguana\n      name: MTEB ArguAna\n      config: default\n      split: test\n      revision: None\n    metrics:\n    - type: map_at_1\n      value: 41.252\n    - type: map_at_10\n      value: 57.778\n    - type: map_at_100\n      value: 58.233000000000004\n    - type: map_at_1000\n      value: 58.23700000000001\n    - type: map_at_3\n      value: 53.449999999999996\n    - type: map_at_5\n      value: 56.376000000000005\n    - type: mrr_at_1\n      value: 41.679\n    - type: mrr_at_10\n      value: 57.92699999999999\n    - type: mrr_at_100\n      value: 58.389\n    - type: mrr_at_1000\n      value: 58.391999999999996\n    - type: mrr_at_3\n      value: 53.651\n    - type: mrr_at_5\n      v…\n\nSource: https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1","install":{"kind":"model","hfId":"mixedbread-ai/mxbai-embed-large-v1","gated":false,"format":"gguf","files":[{"name":"gguf/mxbai-embed-large-v1-f16.gguf","size":669603712,"quant":"F16","sha256":"819c2adf5ce6df2b6bd2ae4ca90d2a69f060afeb438d0c171db57daa02e39c3d"},{"name":"model.safetensors","size":670328392,"sha256":"36bfa45da00eb762ef9feebe4cff315ec779efadd08da11846bef5ba5b59b8f8"},{"name":"onnx/model.onnx","size":1336854282,"sha256":"adb53ed475faa339bfad3bd2bdb7e6a30b4f47280ade9811f81bef7953f9ab77"},{"name":"onnx/model_fp16.onnx","size":668828772,"sha256":"b08af11a60452474f6958853f339296f970aac697a49b98da923d0c36cc6c6b1"},{"name":"onnx/model_quantized.onnx","size":336983163,"sha256":"11bda26d2ee754b20d46c90d0fae7eb5a71e0f947e74261afd6ad640ebbcfa7f"},{"name":"openvino/openvino_model.bin","size":1336373408,"sha256":"d2715fe5d778475f06156e6de07353f8e5e73800985159bfd7bf7081c284d87a"},{"name":"openvino/openvino_model_qint8_quantized.bin","size":336759312,"sha256":"61df334e52dacadebc1cdadd3974be4ec70a339329830a1df67c7ba4f196c7ae"}],"totalBytes":5355731041,"suggestedFile":"gguf/mxbai-embed-large-v1-f16.gguf","requirements":{"ramGb":2,"diskBytes":669603712,"note":"estimate: suggested file size × 1.15 + 0.5 GB; a real measurement comes with lsh models"},"runWith":["llama.cpp"],"command":"lsh models install hf:mixedbread-ai/mxbai-embed-large-v1"}}