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alpaim/
Qwen3-VL-Embedding-2B-GGUF-vecBox

Name: Qwen3-VL-Embedding-2B-GGUF-vecBox
Availability: InStock

gguf

qwen3_vl

image-text-to-text

Qwen/Qwen3-VL-Embedding-2B

quantized

endpoints_compatible

conversational

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Qwen3-VL-Embedding-2B-GGUF for vecBox

[!WARNING] Not intended for general use! This repository is strictly maintained as a dependency for the vecBox. The file structure, metadata, and configurations may be modified in the future without notice to fit internal requirements.

If you are looking to run this model using standard software (like llama.cpp), please use the original repositories instead:

For GGUF quantized weights: DevQuasar/Qwen.Qwen3-VL-Embedding-2B-GGUF

For the original model: Qwen/Qwen3-VL-Embedding-2B

This is a custom repack of the quantized model DevQuasar/Qwen.Qwen3-VL-Embedding-2B-GGUF specifically packaged for the vecBox.

What's different?

This repository contains the exact same GGUF weights from the original DevQuasar repository. However, it additionally includes essential metadata files (config.json, tokenizer.json, etc.) extracted from the original unquantized model. These files are required for direct loading and tokenization mapping via the Rust candle framework inside the vecBox.

Original Quantized Model Card

Quantized version of: Qwen/Qwen3-VL-Embedding-2B

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alpaim/Qwen3-VL-Embedding-2B-GGUF-vecBox

Qwen3-VL-Embedding-2B-GGUF for vecBox

What's different?

Original Quantized Model Card

alpaim/
Qwen3-VL-Embedding-2B-GGUF-vecBox