Nimble 9B
A decision model released by Ollama with 9 billion parameters, optimized for high-frequency judgment tasks. The model operates without reasoning steps and supports multiple question types including Choice, Null, and Score. It features a context window of 8,192 tokens.
Timeline (last 90 days)
Nimble 9B completes a decision in an average of 90 milliseconds on the M5 Max, with only 1 to 4 output tokens and between 155 and 841 input tokens.
The benchmark published by Bespoke Labs covers 33 public datasets and 3,880 manually labeled decisions; Jeff 1.1B achieves the highest average accuracy at 76%, Nimble 9B at 75.7%, Jeff 1.4B at 73.3%, and the 0.8B version at 63.5%.
All Facts (2)
Nimble 9B completes a decision in an average of 90 milliseconds on the M5 Max, with only 1 to 4 output tokens and between 155 and 841 input tokens.
50%UnverifiedThe benchmark published by Bespoke Labs covers 33 public datasets and 3,880 manually labeled decisions; Jeff 1.1B achieves the highest average accuracy at 76%, Nimble 9B at 75.7%, Jeff 1.4B at 73.3%, and the 0.8B version at 63.5%.
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