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How to use Kev: what you can do with it

What is Kev? Kev is a family of small decision models (0.8B to 27B) built on Qwen3.5 and Qwen3.8 that answer yes/no (noul), multiple-choice (choice) and rating (score) questions about a piece of text in one request, with calibrated probabilities. Its server matches TypeSafe's System One API so the TypeSafe Python SDK works unchanged, and you can fine-tune on your own labels with a coding-agent skill on Modal.

How do I use it? Run git clone https://github.com/jaredpalmer/kev.git && cd kev; then install the server extras with uv sync --extra serve; start the server: uv run --extra serve python -m kev.serve --run jaredpalmer/kev-4b --port 8009. Full steps below.

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3 use cases

Quick start with Kev

  1. Check you have what it needs: Python with uv; install from source (pip install kev is a different package); A GPU (CUDA) or an Apple Silicon Mac with MLX; Kev-0.8B runs on a laptop; Optional: a Modal account for fine-tuning and hosted endpoints.
  2. Open jaredpalmer/kev on GitHub and read the README and license.
  3. Run git clone https://github.com/jaredpalmer/kev.git && cd kev
  4. Install the server extras with uv sync --extra serve
  5. Start the server: uv run --extra serve python -m kev.serve --run jaredpalmer/kev-4b --port 8009
  6. POST a ticket with choice, noul and score questions to localhost:8009/v1/systemone as in the README curl example

These steps come from our top use case, Serve a local decision model that routes support tickets, which also has a copy-paste agent prompt.

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Kev alternatives · Best AI repos for Work and operations

About this repo

  • Who it is forDevelopers who route tickets, flag escalations or score text and want a self-hosted, calibrated decision model instead of prompting a chat model.
  • Why it is hot9.6k stars, launched 39 days ago, picked up by one AI source we track
  • LanguagePython
  • Sourcegithub.com/jaredpalmer/kev · Back to Hot repos

Requirements

  • Python with uv; install from source (pip install kev is a different package)
  • A GPU (CUDA) or an Apple Silicon Mac with MLX; Kev-0.8B runs on a laptop
  • Optional: a Modal account for fine-tuning and hosted endpoints

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Questions about Kev

What is Kev?

Kev is a family of small decision models (0.8B to 27B) built on Qwen3.5 and Qwen3.8 that answer yes/no (noul), multiple-choice (choice) and rating (score) questions about a piece of text in one request, with calibrated probabilities. Its server matches TypeSafe's System One API so the TypeSafe Python SDK works unchanged, and you can fine-tune on your own labels with a coding-agent skill on Modal. It is an open-source project on GitHub: https://github.com/jaredpalmer/kev.

How do I use Kev?

Run git clone https://github.com/jaredpalmer/kev.git && cd kev; then install the server extras with uv sync --extra serve; start the server: uv run --extra serve python -m kev.serve --run jaredpalmer/kev-4b --port 8009. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Kev for?

Developers who route tickets, flag escalations or score text and want a self-hosted, calibrated decision model instead of prompting a chat model.

What can I do with Kev?

3 use cases so far, for example: Serve a local decision model that routes support tickets; Point the TypeSafe SDK at your own Kev server; Fine-tune Kev on your own support tickets with an agent skill. Each has steps and a copy-paste agent prompt.

What do I need to run Kev?

Python with uv; install from source (pip install kev is a different package); A GPU (CUDA) or an Apple Silicon Mac with MLX; Kev-0.8B runs on a laptop; Optional: a Modal account for fine-tuning and hosted endpoints.

What are alternatives to Kev?

Other hot AI repos in Work and operations: Solidcraft, Meetcap, Start Lux Decision, Agenticos, Astr Bot.

Is Kev safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.