reflex
Small open decision model on Qwen3.5: state plus typed questions to calibrated probabilities.
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44 entries
Small open decision model on Qwen3.5: state plus typed questions to calibrated probabilities.
Typed, calibrated decisions from any open-weights model in one forward pass, on Hugging Face and vLLM.
Jev-compatible decision server on DiffusionGemma 26B through vLLM, images included, hosted free on [Codiv](https://codiv.ai).
Offline server wire-compatible with the System One endpoint, checked against the official SDK; reports 80.5 percent on JevBench's public items against 86.6 percent published for the hosted API.
Local-first take on the System One idea: unstructured state in, typed probabilistic decisions out, without generating a token.
Multimodal decision model on Qwen3.5 that scores candidates against images and video as well as text, with training code and open weights.
Qwen3.5 replica with distilled LoRA weights, ranked second of 76 systems and first among open ones on JevBench v1.4.
Open multimodal System One model, 0.8B to 27B, for screenshots, photos, video and text.
Open-weight ModernBERT-base fine-tune that answers Noul, Choice, Score, and multi-label questions with a probability per option, serves `/v1/systemone` for the official Python SDK, and runs in the browser through ONNX; independent replica, not TypeSafe weights.
0.6B replica with parallel decisions, dynamic candidates, and an end-to-end training pipeline.
Parallel decisions for CUDA LLMs through a vLLM API, with game-agent examples and benchmarks.
Turns any off-the-shelf LLM into a Jev-style decision layer.
Reads next-token logits from any Hugging Face model for choice, rubric, and support questions; public demo API with no key.
Prefills once and scores every option in one padded pass on Gemma 3 4B with MLX; plays Doom from the terminal in the demo.
Plays ten browser games from the frame alone on a fine-tuned Qwen3.5-0.8B, one forward pass per move, open weights and a browser demo.
Serves `/v1/systemone` on DiffusionGemma by reading typed answers and text spans off a seeded, pinned canvas, with no generation.
Preregistered experiment on a frozen Qwen3-4B: read the option letter's logits, skip the JSON.
Non-autoregressive decision engine on ModernBERT with calibrated uncertainty and an in-browser WebGPU playground.
Study of Jev-style decisions on stock 1.5B to 8B models on a laptop, with a Hugging Face demo.
LLM gateway that mimics the TypeSafe response shape, useful as a stand-in while you wait for a key.
End-to-end stack for auditable data construction, Qwen3.5-0.8B training, fixed Mind2Web and OOD evaluation, local serving, and a preliminary RLCD baseline.
Open-weight typed-decision models on Qwen3.5 with calibrated per-option probabilities in one forward pass; reports 80.1 percent on JevBench against 75.3 for Jev 1.13.
Open option scorer that reads candidate logits instead of generating JSON.
Parallel constrained decisions for any MLX model on Apple Silicon, one forward pass.
Typed calibrated decisions in one forward pass on Gemma 4 E2B and Gemma 3 270M.
Adapts local language models to runtime-defined Choice, Score, and Noul questions and returns typed answers with probabilities.
Turns an open Hugging Face model into a calibrated decision endpoint served through vLLM, with no fine-tuning at the first two levels.
Educational visual-inference variant on Apple Silicon: shared context, direct candidate scoring.
LoRA adapter and readout head on Qwen2.5-0.5B that answers many typed questions in one prefill; trains in under two hours on a MacBook, held-out ECE 0.065, speaks the TypeSafe wire format.
Self-hosted System One API on the 400M GLiFormer, with benchmarks that say where it trails Jev.
Gateway that turns an existing SGLang or vLLM deployment into a Jev-compatible decision service by scoring candidate tokens, with no training and no model changes.
Decision model on Qwen3-0.6B that answers without decoding tokens, reports 79.25 percent top-1 on the public Typed Decisions benchmark.
A stronger one-pass scorer with a head-to-head benchmark against the jevlike starter design.
Non-autoregressive open decision model reporting under 15 ms locally, as a drop-in alternative to Jev.
Data recipe and training code that fine-tune Qwen3.5-4B into an open-weight decision model on Together AI.
Bilingual local decisions from context, questions, and candidate answers.
Typed JSON inference with DiffusionGemma, benchmarked against Jev.
Non-autoregressive 151M decision engine with a WebGPU browser runtime, reporting 77.1 percent top-1 and 1.44 percent calibration error on its own benchmark.
Semantic ifs from open models on a single 3090; the most starred independent replica, formerly openjev.
Open decision layer answering a finite option set with probabilities split into execute, confirm, and reject. Independent replica, not TypeSafe weights.
Pulls and serves open decision models such as Laya, kev, and JevK5 behind a TypeSafe-compatible local endpoint, the way Ollama serves LLMs.
Jev-compatible API endpoint on SGLang, prefill only.
Hugging Face Space demonstrating RLCD-style parallel decoding on Qwen2.5-1B.