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.
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.
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.
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.