F2LLM v2 80M F2LLM v2 is a family of general purpose, multilingual embedding models in 8 distinct sizes ranging from 80M to 14B. Trained on a curated composite of 60 million publicly available high quality data, F2LLM v2 supports more than 200 languages, with a particular emphasis on previously underserved mid and low resource languages. F2LLM v2 is fully open. We release base models in 5 sizes, instruct models in 8 sizes, the training data, the training code, and intermediate checkpoints. The three smallest instruct models are pruned and trained from the 0.6B base model. Model Base Instruct 80M 🤗F2LLM v2 80M 160M 🤗F2LLM v2 160M 330M 🤗F2LLM v2 330M 0.6B 🤗F2LLM v2 0.6B Preview 🤗F2LLM v2 0.6B 1.7B 🤗F2LLM v2 1.7B Preview 🤗F2LLM v2 1.7B 4B 🤗F2LLM v2 4B Preview 🤗F2LLM v2 4B 8B 🤗F2LLM v2 8B Preview 🤗F2LLM v2 8B 14B 🤗F2LLM v2 14B Preview 🤗F2LLM v2 14B Usage With Sentence Transformers To encode text with the Sentence Transformers library: With Transformers Or directly with the Transformers library: Prompts The model supports custom instructions in the following format: In general, for retrieval and reranking tasks: use the prompt for queries do not prepend the prompt to docume…
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