Downloads · 30 days
14
17% of all-time downloads
turkish-bge-m3-model2vec-turboquant-2bit
altaidevorg/turkish-bge-m3-model2vec-turboquant-2bit
turkish-bge-m3-model2vec-turboquant-2bit is a feature extraction model from altaidevorg. Use it when you need embeddings to search or compare text. It is set up for model2vec. The card lists the license as apache-2.0.
Extreme 2-bit INT2 quantized Turkish static sentence embedding model using Google TurboQuant (ICLR 2026) vector quantization.
All-time downloads
81
Public
Repo size
2.5 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.json2.8 MB · 53%
At a glance
- Task
- Feature Extraction
- Library
- model2vec
- License
- apache-2.0
- Access
- Public
- Created
- Aug 25, 2026
- Updated
- Aug 25, 2026
- SHA
- d9764e78
Try a prompt
Model card
From the Hugging Face model README
🇹🇷 Turkish BGE-M3 Model2Vec (TurboQuant 2-bit)
Extreme 2-bit INT2 quantized Turkish static sentence embedding model using Google TurboQuant (ICLR 2026) vector quantization.
- Model Size: 2.50 MB (880x smaller than 2.2 GB BGE-M3)
- Embedding Dimension: 256
- Inference Speed: 20,013 sentences/sec on CPU
- Accuracy (STSb-TR gorkem): 92.19% (Denoising effect enhances STS correlation)
- Deployment: Ideal for in-browser WASM, smartwatches, IoT hardware, and embedded edge devices.
📊 Benchmark Comparison
| Model | Quantization | Size | STSb-TR (gorkemergune/stsb-tr) | Speed |
|---|---|---|---|---|
| BAAI/bge-m3 (Teacher) | FP32 | ~2,200 MB | 96.35% | 79 sent/s |
| turkish-bge-m3-model2vec (Base) | FP16 | 19.36 MB | 91.36% | 63,012 sent/s |
| 🥉 turkish-bge-m3-model2vec-turboquant-2bit | INT2 (2-bit) | 2.50 MB | 92.19% | 20,013 sent/s |
🚀 Usage
# Clone repo & install library from https://github.com/altaidevorg/model2vec_experiments
from src.turboquant import TurboQuantStaticModel
# Load 2-bit model directly
model = TurboQuantStaticModel.from_pretrained("altaidevorg/turkish-bge-m3-model2vec-turboquant-2bit")
sentences = ["Ultra hafif Türkçe vektör modeli."]
embeddings = model.encode(sentences)
print(f"Shape: {embeddings.shape}") # (1, 256)
📄 License
Apache-2.0
- Task
- Feature Extraction
- Library
- model2vec
- License
- apache-2.0
- Languages
- tr
- Created
- Aug 25, 2026
- Updated
- Aug 25, 2026