4 ms·
I am partial to https://huggingface.co/Qwen/Qwen3-Embedding-0.6B https://huggingface.co/Qwen/Qwen3-Embedding-0.6B nowadays. Open weights, multilingual, 32k con
by xfalcox 10mo ago
I am partial to https://huggingface.co/Qwen/Qwen3-Embedding-0.6B https://huggingface.co/Qwen/Qwen3-Embedding-0.6B nowadays.
Open weights, multilingual, 32k context.
- SteveJS 10mo agoAlso matryoshka and the ability to guide matches by using prefix instructions on the query. I have ~50 million sentences from english project gutenberg novels embedded with this.
- dleeftink 10mo agoWhy would you do that and I'd love to know more
- SteveJS 10mo agoThe larger project is to allow analyzing stories for developmental editing. Back in June and August i wrote some llm assisted blog posts about a few of the experiments. They are here: sjsteiner.substack.com
- Tostino 10mo agoWhat are you using those embeddings for, If you don't mind me asking? I'd love to know more about the workflow and what the prefix instructions are like.
- greenavocado 10mo agoIt's junk compared to BGE M3 on my retrieval tasks