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LemonDecider 4B
Classify text locally using fixed choices or a scoring scale you define. This v3 package splits long question lists while keeping the full shared information in each part.
First reviewed 2026-10-23 · Checked 2026-11-03. The launch date has not been confirmed.
We still need comparable independent tests. You can compare the confirmed features and limits below, but we cannot yet give this version an Agent Fit or Practical Value rating. Test it on records with known answers, including cases that should go to a person.
What you can use today
You download the model files and supply the hardware and software to run them. Capacity is the amount of information a request can contain; settings and available memory can limit what fits.
Exact download ID: inclusionAI/LemonDecider. The current package identifies lemondecider-4b-20261023-v3. It returns choices, yes/no probabilities and ordered scores, with up to 255 options per question. The publisher tests how closely confidence scores match correct answers; check this on your own examples before using a score to trigger actions.
Apache 2.0-labelled weights. Use the supplied decision runtime to load the model and return probabilities.
Each complete chunk, including formatting, must fit in 8,192 tokens. Longer question lists are split recursively, repeating the full shared information and all options; inputs are not truncated. The older 262,144-token claim does not describe this v3 service.
Output: Choices, yes/no probabilities and ordered scores; no generated explanation. Compare decision models, limits and input costs ↗
No hosted price verified. The publisher’s own evaluation runs are not official leaderboard submissions or independent results.
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Test it before switching
Give each model the same examples, tools and definition of success. Record correct outcomes, response time, retries and total cost. Include the time and hardware needed to run it.
Compare caching and long-context costs ↗