GGUF builds of Jebadiah 27B for llama.cpp, which runs on NVIDIA, AMD and Apple GPUs and on plain CPUs. Jebadiah answers a typed question (choice, noul or score) with a probability for every option, read from one forward pass. Nothing is generated. Code, trainer and evals: Results and docs - Project site, with every result and how to run the models: jebadiah.ai. - Decision Index 0.2.1: Jebadiah 27B scores 54.67, #5 of 67 open models (as of 2026-09-26). This is the board's own number; the maintainer validated my run and put it on the leaderboard. Run record. Which one should I use? For local use, start with Jebadiah 9B v2 GGUF. On Apple silicon, use an MLX build: 27B, 9B v2 or 4B v2. For vLLM…
Organization
Frontier Infra
frontier-infra
Models in Library3
Datasets in Library0
Models on Hugging Face13
Followers6
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Models
GGUF builds of Jebadiah 9B v2 for llama.cpp, which runs on NVIDIA, AMD and Apple GPUs and on plain CPUs. Jebadiah answers a typed question (choice, noul or score) with a probability for every option, read from one forward pass. Nothing is generated. Code, trainer and evals: Results and docs - Project site, with every result and how to run the models: jebadiah.ai. - JDE blind test (as of 2026-09-26): on 290 real decisions from Titanium Computing's production decision engine, Jebadiah 9B v2 got 277 against Jev's 282, with 0 flips across 5,800 repeat calls. Jev still leads on coverage checks. Which one should I use? For local use, start with Jebadiah 9B v2 GGUF. On Apple silicon, use an MLX…
GGUF builds of Jebadiah 4B v2 for llama.cpp, which runs on NVIDIA, AMD and Apple GPUs and on plain CPUs. Jebadiah answers a typed question (choice, noul or score) with a probability for every option, read from one forward pass. Nothing is generated. Code, trainer and evals: Results and docs - Project site, with every result and how to run the models: jebadiah.ai. Which one should I use? For local use, start with Jebadiah 9B v2 GGUF. On Apple silicon, use an MLX build: 27B, 9B v2 or 4B v2. For vLLM or fine-tuning, use the full weights: 27B, 9B v2 or 4B v2. Setup for every runtime, and for JDE: Run Jeb locally. Every file was checked on the 260 held-out questions the merged weights were…