jebadiah-9b-v2-MLX

Use the per-quant repos below. Each holds one complete MLX model at the repository root, with its tokenizer, scripts, temperatures and evaluation record.

Jebadiah is a decision model, not a chat model.

The original precision subfolders and all supporting files remain here unchanged, so existing commands continue to work.

Try Jeb locally

Install the client for your existing runtime:

pip install jebadiah-decide

The local setup guide covers Ollama, LM Studio, llama-server, vLLM, MLX and AINode. Pick your runtime there before starting the server.

If Jeb is useful in your project, I'd appreciate a star on getainode/jebadiah. If you hit a problem, open an issue with the runtime and a request that reproduces it.

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