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Local runtimes and serving with decision models

Running decision models on your own hardware: servers that speak the System One wire format, native ports for Apple Silicon and CPUs, and gateways.

249 public projects · page 8 of 9

  • Clojure System One engine on Jolt that routes typed questions to Laya encoders, a llama.cpp 'thinker', Clef or TinyDecide.

    ModelresearchClojure
  • Reproduction of Jev's decision layer on any Qwen model: serves /v1/systemone by scoring option tokens, with no training or generation.

    ServiceresearchPython
  • Offline System One server that answers Jev-format questions with small open models, wire-compatible with TypeSafe's official SDK.

    ServiceresearchPython
  • Open MiniCPM5-2B decision model serving /v1/systemone: typed choice, noul and score probabilities in one forward pass.

    ModelresearchPython
  • spark-s1: local Jev-inspired decision models on Qwen3.5-4B for NVIDIA DGX Spark, trained on code- and solver-labelled decision rows.

    ModelresearchPython
  • Drop-in faster backend for Open-Jev-27B using custom CUDA kernels, a prefix tree and CUDA graphs: about 6x lower JevBench latency.

    ModelresearchPython
  • Research engine for local System One decisions via llama.cpp logits projection with Qwen, running sub-second on a 4 GB laptop GPU.

    ModelresearchPython
  • Hugging Face Space for parallel constrained decoding on Apple Silicon: fills multi-field JSON schemas in parallel with field confidence.

    ModelresearchPython
  • Phocinae Largha: 144.3M bilingual English/Chinese decision model on mmBERT-small with calibrated Choice, Score and Noul in one pass.

    ModelresearchPython
  • Open decision models fine-tuned from Qwen at 0.8B to 9B that return a choice and per-option probabilities for Choice, Noul and Score.

    ModelresearchPython
  • Paused C#/.NET 10 non-autoregressive decision engine running a Laya/mmBERT checkpoint locally, returning Choice, Score and Boolean answers.

    ModelresearchC#
  • Open System One model and MLX runtime returning calibrated choice, score and noul probabilities via a Jev-compatible API.

    ServiceresearchPython
  • Gemma 4 12B with its LM head replaced by a small answer head, serving Jev-style noul, choice and score decisions with custom code.

    ModelresearchPython
  • Together AI's experimental Qwen3.5 fine-tunes (4B and 0.8B) that pick one lettered option from a state, question and option list.

    ModelresearchPython
  • Open Apache-2.0 4B decision model (Wald-Q4B) served via a Jev-compatible API, thinking only when unsure, with JevBench 210/231.

    ModelresearchPython
  • Apache-2.0 Gemma 4 12B fine-tune for local typed decisions, chat and image input, served via /v1/systemone and chat completions.

    Serviceresearch
  • Static GGUF quantizations by mradermacher of SargeDev's JEV-27B-Uncensored, a Jev 1.13-distilled decision model.

    Model
  • Static GGUF quantizations by mradermacher of SargeDev's JEV-27B-VL-Uncensored vision decision model.

    Model
  • CUDA-native engine that serves open Qwen3.5 checkpoints behind a Jev-compatible API, reading option logits without decoding.

    BenchmarkbetaC/CUDA
  • 122M multilingual local decision model answering Choice, Noul and Score in milliseconds on CPU behind a /v1/systemone server.

    BenchmarkbetaPython
  • Core ML and Neural Engine port of Laya for Apple Silicon, about 5 ms per short decision on an M3 Max with energy benchmarks.

    BenchmarkbetaPython
  • Apple Silicon workbench running Laya, Decider, Kev and Jev side by side with accuracy, calibration, latency and memory benchmarks.

    BenchmarkbetaPython
  • Runs jev-browser entirely on a local Jev-style engine (Qwen2.5 1.5B decisions, 0.5B typing) on an RTX 2060 SUPER, with no cloud API.

    BenchmarkprototypePython, TypeScript
  • Local benchmark comparing Jev with Laya-MLX on classifying GitHub issues for beginner-friendliness, CV fit and difficulty.

    BenchmarkresearchPython
  • Speed and accuracy benchmark of hosted Jev 1.13 versus local Laya 421M on 1,470 synthetic items across eight decision tasks.

    BenchmarkresearchPython
  • Unofficial study reproducing Jev-style parallel typed decisions on small stock models on an Apple Silicon laptop, with benchmarks.

    BenchmarkresearchPython
  • Benchmarks Jev against local open decision models on 480 general Persian questions, literary questions and a classical poetry pilot.

    BenchmarkresearchPython
  • Jev-inspired technique scoring single-token labels with an LLM's head via vLLM to fill typed fields, with a fast Mario demo.

    BenchmarkresearchPython
  • Tutorial to fine-tune Qwen3.5-4B into a Jev-like classifier with Unsloth on RunPod, serve via vLLM and benchmark against Jev.

    BenchmarkresearchPython
  • Hugging Face blog on llama.cpp's /v1/systemone endpoint serving decision models locally in Jev's wire format.

    ServiceproductionC++