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All-MiniLM-L6-v2-Embedding-GGUF
by second-state · source Hugging Face · updated 2024-05-01
apache-2.020 MB~1 GB RAMsource aliveunlabeled
embedding model by second-state, gguf files on Hugging Face.
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Source and license
- Source: https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF
- License: apache-2.0
- Requirements: about 1 GB of RAM, 20 MB on disk (estimate: suggested file size × 1.15 + 0.5 GB; a real measurement comes with lsh models). Runs with llama.cpp.
- Tags:
sentence-transformersggufbertfeature-extractionsentence-similaritytransformersenendpoints_compatibledeploy:azure
Numbers
- 124,802 downloads on Hugging Face
- 25 likes
- license apache-2.0
- 0.0 GB for all-MiniLM-L6-v2-Q4_K_M.gguf
- 19,144 stars on huggingface/sentence-transformers
- 1,365 open issues and PRs
- last release v6.1.0 on 2026-09-18
- 4,402,710 npm downloads a week for @huggingface/transformers
- latest @huggingface/transformers@4.3.0
Numbers as of 2026-10-02 20:51 UTC, from the source API.
Summary
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Reviews
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Files
| file | quant | size |
|---|---|---|
all-MiniLM-L6-v2-Q2_K.gguf | Q2_K | 18 MB |
all-MiniLM-L6-v2-Q3_K_L.gguf | Q3_K_L | 20 MB |
all-MiniLM-L6-v2-Q3_K_M.gguf | Q3_K_M | 19 MB |
all-MiniLM-L6-v2-Q3_K_S.gguf | Q3_K_S | 18 MB |
all-MiniLM-L6-v2-Q4_0.gguf | Q4_0 | 19 MB |
all-MiniLM-L6-v2-Q4_K_M.gguf | Q4_K_M | 20 MB |
all-MiniLM-L6-v2-Q4_K_S.gguf | Q4_K_S | 20 MB |
all-MiniLM-L6-v2-Q5_0.gguf | Q5_0 | 20 MB |
all-MiniLM-L6-v2-Q5_K_M.gguf | Q5_K_M | 21 MB |
all-MiniLM-L6-v2-Q5_K_S.gguf | Q5_K_S | 20 MB |
all-MiniLM-L6-v2-Q6_K.gguf | Q6_K | 23 MB |
all-MiniLM-L6-v2-Q8_0.gguf | Q8_0 | 24 MB |
all-MiniLM-L6-v2-ggml-model-f16.gguf | F16 | 44 MB |
From the source README
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, balance…
Source: https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF
Card id model:hf:second-state/All-MiniLM-L6-v2-Embedding-GGUF · collected 2026-10-02 20:51 UTC · JSON