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---
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
---
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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# All-MiniLM-L6-v2-GGUF
## Original Model
[sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2)
## Run with LlamaEdge
- LlamaEdge version: [v0.8.2](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.8.2) and above
- Context size: `384`
- Vector size: `256`
- Run as LlamaEdge service
```bash
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](https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/blob/main/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](https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/blob/main/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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