FLAN-UL2
Instruction-tuned UL2 20B that outperformed FLAN-T5 across NLU benchmarks.
About
FLAN-UL2 applies the FLAN instruction-tuning recipe to Google's UL2 20B base model, released February 2023. It combines UL2's mixture-of-denoisers pretraining with large-scale instruction fine-tuning, and on most natural language understanding benchmarks it outperformed FLAN-T5 by a significant margin. It became a popular open research model for instruction-following work in the pre-ChatGPT open-model wave.
Checkpoints are public under Apache 2.0 (google/flan-ul2 on Hugging Face). As a 20B encoder-decoder it needs substantial memory but remains a strong baseline for instruction-tuning research.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 119; Trending score 76/100 from researcher assessment.