What this page answers
Rnj-1 is an 8B-parameter, dense, open-weight model family developed by Essential AI and trained from scratch with a focus on programming, math, and scientific reasoning. The model demonstrates strong performance...
- Essentialai · essentialai/rnj-1-instruct
- text->text · global model route
- 32,768 context · $0.15 input
Before connecting
Do not stop at the model name. Before integration, verify base URL, protocol, visible models, parameters, and limits together.
- supports frequency_penalty
- supports logit_bias
- supports max_tokens
- supports min_p
- supports presence_penalty
Next action
The goal is to catch search demand, then move users into model profiles, provider profiles, and key checking.
- Check whether the model fits the use case
- Then verify key permission and callable models
