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
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Model tree for second-state/All-MiniLM-L6-v2-Embedding-GGUF
Base model
sentence-transformers/all-MiniLM-L6-v2
Quantized
this model