Model2Vec
Safetensors
English
Chinese
multilingual
qwen3_int8_harmonic
RAG
search
embedding
distillation
static-embeddings
quantized
high-performance
8-bit precision
Instructions to use aninokumar/Qwen3-8B-M2V-Entropy-RAG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use aninokumar/Qwen3-8B-M2V-Entropy-RAG with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("aninokumar/Qwen3-8B-M2V-Entropy-RAG") embeddings = model.encode(["It's dangerous to go alone!", "It's a secret to everybody."]) print(embeddings.shape) - Notebooks
- Google Colab
- Kaggle
Download logos.webp from aninokumar/Qwen3-8B-M2V-Entropy-RAG: direct link, hf CLI and curl.
- Browser
- Download file 29.7 kB
-
https://huggingface.co/aninokumar/Qwen3-8B-M2V-Entropy-RAG/resolve/main/logos.webp
- Command line
-
hf download hf://aninokumar/Qwen3-8B-M2V-Entropy-RAG/logos.webp
-
curl -L -o logos.webp https://huggingface.co/aninokumar/Qwen3-8B-M2V-Entropy-RAG/resolve/main/logos.webp
29.7 kB
