{"v":1,"id":"model:hf:second-state/Nomic-embed-text-v1.5-Embedding-GGUF","slug":"model-second-state-nomic-embed-text-v1-5-embedding-gguf","kind":"model","category":"embedding","title":"Nomic-embed-text-v1.5-Embedding-GGUF","summary":"embedding model by second-state, gguf files on Hugging Face.","source":{"provider":"hf","ref":"second-state/Nomic-embed-text-v1.5-Embedding-GGUF","url":"https://huggingface.co/second-state/Nomic-embed-text-v1.5-Embedding-GGUF","rev":"f472d22b2e8befcffc19ba0bdd881575041d931c","fetchedAt":"2026-10-02T20:53:54.064Z","etag":"W/\"11db-IrCqqsc9vXDUewJuxdUmFt9Uur0\""},"author":{"name":"second-state","url":"https://huggingface.co/second-state"},"license":{"spdx":"apache-2.0","raw":"apache-2.0","open":true},"metrics":{"downloads":2749,"downloadsWeek":4402710,"likes":7,"takenAt":"2026-10-02T20:53:54.064Z"},"tags":["sentence-transformers","gguf","sentence-similarity","en","endpoints_compatible","feature-extraction"],"pipeline":"sentence-similarity","links":{"github":"nomic-ai/nomic","npm":"@huggingface/transformers"},"updatedAt":"2024-07-18T05:54:41.000Z","collectedAt":"2026-10-02T20:53:54.064Z","review":{"numbers":["2,749 downloads on Hugging Face","7 likes","license apache-2.0","0.1 GB for nomic-embed-text-v1.5-Q4_K_M.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":"2026-10-02T20:53:54.064Z","http":200},"description":"# Nomic-embed-text-v1.5-Embedding-GGUF\n\n## Original Model\n\n[nomic-ai/nomic-embed-text-v1.5](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5)\n\n## Run with LlamaEdge\n\n- LlamaEdge version: [v0.12.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.3) and above\n\n- Context size: `768`\n\n- Run as LlamaEdge service\n\n  ```bash\n  wasmedge --dir .:. --nn-preload default:GGML:AUTO:nomic-embed-text-v1.5-f16.gguf \\\n    llama-api-server.wasm \\\n    --prompt-template embedding \\\n    --ctx-size 768 \\\n    --model-name nomic-embed-text-v1.5\n  ```\n\n## Quantized GGUF Models\n\n| Name | Quant method | Bits | Size | Use case |\n| ---- | ---- | ---- | ---- | ----- |\n| [nomic-embed-text-v1.5-Q2_K.gguf](https://huggingface.co/second-state/Nomic-embed-text-v1.5-Embedding-GGUF/blob/main/nomic-embed-text-v1.5-Q2_K.gguf)     | Q2_K   | 2 |60.9 MB| smallest, significant quality loss - not recommended for most purposes |\n| [nomic-embed-text-v1.5-Q3_K_L.gguf](https://huggingface.co/second-state/Nomic-embed-text-v1.5-Embedding-GGUF/blob/main/nomic-embed-text-v1.5-Q3_K_L.gguf) | Q3_K_L | 3 | 80.7 MB| small, substantial quality loss |\n| [nomic-embed-text-v1.5-Q3_K_M.gguf](https://huggingface.co/second-state/Nomic-embed-text-v1.5-Embedding-GGUF/blob/main/nomic-embed-text-v1.5-Q3_K_M.gguf) | Q3_K_M | 3 | 76.3 MB| very small, high quality loss |\n| [nomic-embed-text-v1.5-Q3_K_S.gguf](https://huggingface.co/second-state/Nomic-embed-text-v1.5-Embedding-GGUF/blob/main/nomic-embed-text-v1.5-Q3_K_S.gguf) | Q3_K_S | 3 | 68.8 MB| very small, high quality loss |\n| [nomic-embed-text-v1.5-Q4_0.gguf](https://huggingface.co/second-state/Nomic-embed-text-v1.5-Embedding-GGUF/blob/main/nomic-embed-text-v1.5-Q4_0.gguf)     | Q4_0   | 4 | 84.8 MB| legacy; small, very high quality loss - prefer using Q3_K_M |\n| [nomic-embed-text-v1.5-Q4_K_M.gguf](https://huggingface.co/second-state/Nomic-embed-text-v1.5-Embedding-GGUF/blob/main/nom…\n\nSource: https://huggingface.co/second-state/Nomic-embed-text-v1.5-Embedding-GGUF","install":{"kind":"model","hfId":"second-state/Nomic-embed-text-v1.5-Embedding-GGUF","gated":false,"format":"gguf","files":[{"name":"nomic-embed-text-v1.5-Q2_K.gguf","size":60898496,"quant":"Q2_K","sha256":"a4c866c03c8af2f3123706ff8cba70ff592fa051afbf7b04fda0c68fead91e43"},{"name":"nomic-embed-text-v1.5-Q3_K_L.gguf","size":80749760,"quant":"Q3_K_L","sha256":"8d2cae32753d05b3b69df10347296d92044d145d9db96d4da438199cb032a451"},{"name":"nomic-embed-text-v1.5-Q3_K_M.gguf","size":76326080,"quant":"Q3_K_M","sha256":"e03621409622db7407c19d0de90be92f4ab07d6b13eb45d9add1632094d89d02"},{"name":"nomic-embed-text-v1.5-Q3_K_S.gguf","size":68805824,"quant":"Q3_K_S","sha256":"47a7b702d2142a4e2ddfad0e4b62080083247621ca6ee37b3c3a7fea0be364f8"},{"name":"nomic-embed-text-v1.5-Q4_0.gguf","size":83846336,"quant":"Q4_0","sha256":"4f341a8377a42437fb4accd964ca321d94b7bfba84884b267ecf194f5ea88c82"},{"name":"nomic-embed-text-v1.5-Q4_K_M.gguf","size":90150080,"quant":"Q4_K_M","sha256":"145b7a8e6cec3574a8097520aee6b92cc9f314ad581e5b1a50b372b43b2ab20b"},{"name":"nomic-embed-text-v1.5-Q4_K_S.gguf","size":84141248,"quant":"Q4_K_S","sha256":"423b9717112e6e52c836c53dd70898d4bdda4aad3cc82d421af8f2ea049fb335"},{"name":"nomic-embed-text-v1.5-Q5_0.gguf","size":98002112,"quant":"Q5_0","sha256":"8b5b03f194d68f6ca4d27de603f30fcb9927507c9dbb11157e6ec132e14a1987"},{"name":"nomic-embed-text-v1.5-Q5_K_M.gguf","size":102702272,"quant":"Q5_K_M","sha256":"cb5a133f05aa0a52137f4d95450259706605a93a147f507badecce0a98f26432"},{"name":"nomic-embed-text-v1.5-Q5_K_S.gguf","size":98002112,"quant":"Q5_K_S","sha256":"2a3da0d1279c9ef2534aa21b1884a5b9a43991e79da21e0b52bd82a58d701ffd"},{"name":"nomic-embed-text-v1.5-Q6_K.gguf","size":113042624,"quant":"Q6_K","sha256":"eb493e4207527228c2febbca9476147fc260c5b15b14998608ee017f09e30e46"},{"name":"nomic-embed-text-v1.5-Q8_0.gguf","size":146146528,"quant":"Q8_0","sha256":"43d36b4cff72b36cfb081dbb2bf70ce1ce74f5875537d90343b69bc229f7d481"},{"name":"nomic-embed-text-v1.5-f16.gguf","size":274290656,"quant":"F16","sha256":"970aa74c0a90ef7482477cf803618e776e173c007bf957f635f1015bfcfef0e6"}],"totalBytes":1377104128,"suggestedFile":"nomic-embed-text-v1.5-Q4_K_M.gguf","requirements":{"ramGb":1,"diskBytes":90150080,"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:second-state/Nomic-embed-text-v1.5-Embedding-GGUF"}}