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Open weightsGoogle/10 trustVerified

FLAN-UL2

Instruction-tuned UL2 20B that outperformed FLAN-T5 across NLU benchmarks.

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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

Open weights

Released

February 28, 2023

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

instruction-followingzero-shot-nlpresearchreasoningmultitask

Trust score — 8/10

/10 trustVerified

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.

Sources