Modelpublic

second-state/jina-embeddings-v2-base-en-GGUF

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

0likes875downloads

Model Card

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jina-embeddings-v2-base-en-GGUF

Original Model

jinaai/jina-embeddings-v2-base-en

Run with LlamaEdge

—LlamaEdge version: v0.14.17

—Prompt template

—Prompt type: embedding

—Context size: 8192

—Embedding dim: 768

—Run as LlamaEdge service

bash

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:jina-embeddings-v2-base-en-f16.gguf \
    llama-api-server.wasm \
    --prompt-template embedding \
    --ctx-size 8192 \
    --model-name jina-embeddings-v2-base-en

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
jina-embeddings-v2-base-en-Q2_K.gguf	Q2_K	2	61.7 MB	smallest, significant quality loss - not recommended for most purposes
jina-embeddings-v2-base-en-Q3_K_L.gguf	Q3KL	3	79.8 MB	small, substantial quality loss
jina-embeddings-v2-base-en-Q3_K_M.gguf	Q3KM	3	74.7 MB	very small, high quality loss
jina-embeddings-v2-base-en-Q3_K_S.gguf	Q3KS	3	68.9 MB	very small, high quality loss
jina-embeddings-v2-base-en-Q4_0.gguf	Q4_0	4	83.9 MB	legacy; small, very high quality loss - prefer using Q3KM
jina-embeddings-v2-base-en-Q4_K_M.gguf	Q4KM	4	88.5 MB	medium, balanced quality - recommended
jina-embeddings-v2-base-en-Q4_K_S.gguf	Q4KS	4	84.5 MB	small, greater quality loss
jina-embeddings-v2-base-en-Q5_0.gguf	Q5_0	5	98.1 MB	legacy; medium, balanced quality - prefer using Q4KM
jina-embeddings-v2-base-en-Q5_K_M.gguf	Q5KM	5	100 MB	large, very low quality loss - recommended
jina-embeddings-v2-base-en-Q5_K_S.gguf	Q5KS	5	98.1 MB	large, low quality loss - recommended
jina-embeddings-v2-base-en-Q6_K.gguf	Q6_K	6	113 MB	very large, extremely low quality loss
jina-embeddings-v2-base-en-Q8_0.gguf	Q8_0	8	146 MB	very large, extremely low quality loss - not recommended
jina-embeddings-v2-base-en-f16.gguf	f16	16	274 MB	very large, extremely low quality loss - not recommended

Quantized with llama.cpp b4273