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CTRL

1.6B conditional transformer with control codes for steerable generation.

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About

CTRL, released by Salesforce Research in September 2019, was one of the first large language models designed for controllable generation. The 1.6-billion-parameter model conditions on control codes derived from naturally occurring text structure, specifying domain, subdomain, entities, relationships, dates, and task-specific behavior.

Trained on about 140 gigabytes of text with the first token reserved as the control code, CTRL let users steer style and topic without fine-tuning, anticipating later prompting and instruction-following techniques. It is released under the BSD 3-Clause license.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

September 5, 2019

Benchmarks

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

Use cases

controllable-generationstyle-transfertext-generationprompt-steering

Trust score — 6/10

/10 trustMetrics-checked

Scored 6/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 82; Trending score 60/100 from researcher assessment.

Sources