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metadata
base_model: nomic-ai/nomic-embed-text-v1.5
library_name: sentence-transformers
pipeline_tag: sentence-similarity
license: apache-2.0
model_creator: nomic-ai
quantized_by: Second State Inc.
language: en

Nomic-embed-text-v1.5-Embedding-GGUF

Original Model

nomic-ai/nomic-embed-text-v1.5

Run with LlamaEdge

  • LlamaEdge version: v0.12.3 and above

  • Context size: 768

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:nomic-embed-text-v1.5-f16.gguf \
      llama-api-server.wasm \
      --prompt-template embedding \
      --ctx-size 768 \
      --model-name nomic-embed-text-v1.5
    

Quantized GGUF Models

Name Quant method Bits Size Use case
nomic-embed-text-v1.5-Q2_K.gguf Q2_K 2 60.9 MB smallest, significant quality loss - not recommended for most purposes
nomic-embed-text-v1.5-Q3_K_L.gguf Q3_K_L 3 80.7 MB small, substantial quality loss
nomic-embed-text-v1.5-Q3_K_M.gguf Q3_K_M 3 76.3 MB very small, high quality loss
nomic-embed-text-v1.5-Q3_K_S.gguf Q3_K_S 3 68.8 MB very small, high quality loss
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
nomic-embed-text-v1.5-Q4_K_M.gguf Q4_K_M 4 90.2 MB medium, balanced quality - recommended
nomic-embed-text-v1.5-Q4_K_S.gguf Q4_K_S 4 84.1 MB small, greater quality loss
nomic-embed-text-v1.5-Q5_0.gguf Q5_0 5 98 MB legacy; medium, balanced quality - prefer using Q4_K_M
nomic-embed-text-v1.5-Q5_K_M.gguf Q5_K_M 5 103 MB large, very low quality loss - recommended
nomic-embed-text-v1.5-Q5_K_S.gguf Q5_K_S 5 98 MB large, low quality loss - recommended
nomic-embed-text-v1.5-Q6_K.gguf Q6_K 6 113 MB very large, extremely low quality loss
nomic-embed-text-v1.5-Q8_0.gguf Q8_0 8 146 MB very large, extremely low quality loss - not recommended
nomic-embed-text-v1.5-f16.gguf Q8_0 8 274 MB very large, extremely low quality loss - not recommended

Quantized with llama.cpp b2636