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All-MiniLM-L6-v2-Embedding-GGUF
second-state/All-MiniLM-L6-v2-Embedding-GGUF
All-MiniLM-L6-v2-Embedding-GGUF is a feature extraction model from second-state. Use it when you need embeddings to search or compare text. It is set up for sentence-transformers. The card lists the license as apache-2.0.
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All-time downloads
576K
Public
Repo size
300 MB
Likes
25
Public
Repo makeup
Click a slice to open those files.
.gguf300 MB · 100%
At a glance
- Task
- Feature Extraction
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 12, 2024
- Updated
- May 1, 2024
- SHA
- 544f204f
Base models
Model card
From the Hugging Face model README
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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
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
- Task
- Feature Extraction
- Library
- sentence-transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Mar 12, 2024
- Updated
- May 1, 2024