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lazynote-qwen3-embedding
unsig46/lazynote-qwen3-embedding
lazynote-qwen3-embedding is a machine learning model from unsig46. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for llama.cpp. The card lists the license as apache-2.0.
This repository contains the Q4KM GGUF used by LAzy Note's optional on-device Idea and Journal classifier.
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Repo size
396 MB
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Repo makeup
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.gguf396 MB · 100%
At a glance
- Library
- llama.cpp
- License
- apache-2.0
- Access
- Public
- Created
- Jul 19, 2026
- Updated
- Jul 19, 2026
- SHA
- 6c63db55
Base models
Model card
From the Hugging Face model README
LAzy Note Qwen3 Embedding 0.6B Q4_K_M
This repository contains the Q4_K_M GGUF used by LAzy Note's optional on-device Idea and Journal classifier.
Provenance
- Upstream:
Qwen/Qwen3-Embedding-0.6B-GGUF - Upstream revision:
370f27d7550e0def9b39c1f16d3fbaa13aa67728 - Quantization source:
Qwen3-Embedding-0.6B-f16.gguf - llama.cpp commit:
e3546c7948e3af463d0b401e6421d5a4c2faf565 - Quantization:
Q4_K_M - Output SHA-256:
44f67b5875def0e90ae67247b141a5a861538efb8d8b0f783eef3d94211d9dcd - Output size:
396474560bytes
The model was quantized with the pinned llama.cpp llama-quantize binary.
No model weights were fine-tuned by LAzy Note.
Application use
LAzy Note downloads this file only after explicit user confirmation. Text is embedded and classified on the device; note text and embeddings are not sent to this repository or another inference service.
The app verifies both the exact file size and SHA-256 before installing the model. The download URL is pinned to a full repository commit.
License
The upstream Qwen3 Embedding model is distributed under Apache License 2.0. See Qwen/Qwen3-Embedding-0.6B-GGUF and NOTICE.md for attribution and derivative details.
- Library
- llama.cpp
- License
- apache-2.0
- Languages
- ko, en
- Created
- Jul 19, 2026
- Updated
- Jul 19, 2026