---

base_model: sentence-transformers/all-MiniLM-L6-v2 license: apache-2.0 library_name: sentence-transformers model_creator: Sentence Transformers quantized_by: Second State Inc. language: en tags:

• sentence-transformers
• feature-extraction
• sentence-similarity
• transformers

---

---

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-Q2K.gguf	Q2K	2	19.2 MB	smallest, significant quality loss - not recommended for most purposes
all-MiniLM-L6-v2-Q3KL.gguf	Q3K_L	3	20.5 MB	small, substantial quality loss
all-MiniLM-L6-v2-Q3KM.gguf	Q3K_M	3	19.9 MB	very small, high quality loss
all-MiniLM-L6-v2-Q3KS.gguf	Q3K_S	3	19.2 MB	very small, high quality loss
all-MiniLM-L6-v2-Q40.gguf	Q40	4	19.7 MB	legacy; small, very high quality loss - prefer using Q3KM
all-MiniLM-L6-v2-Q4KM.gguf	Q4K_M	4	21 MB	medium, balanced quality - recommended
all-MiniLM-L6-v2-Q4KS.gguf	Q4K_S	4	20.7 MB	small, greater quality loss
all-MiniLM-L6-v2-Q50.gguf	Q50	5	21 MB	legacy; medium, balanced quality - prefer using Q4KM
all-MiniLM-L6-v2-Q5KM.gguf	Q5K_M	5	21.7 MB	large, very low quality loss - recommended
all-MiniLM-L6-v2-Q5KS.gguf	Q5K_S	5	21.5 MB	large, low quality loss - recommended
all-MiniLM-L6-v2-Q6K.gguf	Q6K	6	24.2 MB	very large, extremely low quality loss
all-MiniLM-L6-v2-Q80.gguf	Q80	8	25 MB	very large, extremely low quality loss - not recommended
all-MiniLM-L6-v2-ggml-model-f16.gguf	Q80	8	45.9 MB	very large, extremely low quality loss - not recommended

Quantized with llama.cpp b2334