Yalda Embedding released as a 595.8M Persian retrieval model
Adapted from Qwen3-Embedding-0.6B on more than one million pairs, it scores 0.5488 macro-average on eight FaMTEB tasks.
48
Adapted from Qwen3-Embedding-0.6B on more than one million pairs, it scores 0.5488 macro-average on eight FaMTEB tasks.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
Today 1.1K readers · 1.3K views · 250 reads · all time 195K views