second-state/All-MiniLM-L6-v2-Embedding-GGUF

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All-MiniLM-L6-v2-GGUF

Original Model

sentence-transformers/all-MiniLM-L6-v2

Run with LlamaEdge

• LlamaEdge version: v0.8.2 and above

• Context size: 384

• Vector size: 256

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:all-MiniLM-L6-v2-ggml-model-f16.gguf \
    llama-api-server.wasm \
    --prompt-template llama-2-chat \
    --ctx-size 256 \
    --model-name all-MiniLM-L6-v2
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
all-MiniLM-L6-v2-Q2_K.gguf	Q2_K	2	19.2 MB	smallest, significant quality loss - not recommended for most purposes
all-MiniLM-L6-v2-Q3_K_L.gguf	Q3_K_L	3	20.5 MB	small, substantial quality loss
all-MiniLM-L6-v2-Q3_K_M.gguf	Q3_K_M	3	19.9 MB	very small, high quality loss
all-MiniLM-L6-v2-Q3_K_S.gguf	Q3_K_S	3	19.2 MB	very small, high quality loss
all-MiniLM-L6-v2-Q4_0.gguf	Q4_0	4	19.7 MB	legacy; small, very high quality loss - prefer using Q3_K_M
all-MiniLM-L6-v2-Q4_K_M.gguf	Q4_K_M	4	21 MB	medium, balanced quality - recommended
all-MiniLM-L6-v2-Q4_K_S.gguf	Q4_K_S	4	20.7 MB	small, greater quality loss
all-MiniLM-L6-v2-Q5_0.gguf	Q5_0	5	21 MB	legacy; medium, balanced quality - prefer using Q4_K_M
all-MiniLM-L6-v2-Q5_K_M.gguf	Q5_K_M	5	21.7 MB	large, very low quality loss - recommended
all-MiniLM-L6-v2-Q5_K_S.gguf	Q5_K_S	5	21.5 MB	large, low quality loss - recommended
all-MiniLM-L6-v2-Q6_K.gguf	Q6_K	6	24.2 MB	very large, extremely low quality loss
all-MiniLM-L6-v2-Q8_0.gguf	Q8_0	8	25 MB	very large, extremely low quality loss - not recommended
all-MiniLM-L6-v2-ggml-model-f16.gguf	Q8_0	8	45.9 MB	very large, extremely low quality loss - not recommended

Quantized with llama.cpp b2334