NanoJev
Open 0.6B Jev replica with parallel decisions, complete probability distributions, training pipeline, weights, dataset, and live demos.
99 open source Jev projects in this category, part of AionEdge's independent index of the Jev ecosystem.
Open 0.6B Jev replica with parallel decisions, complete probability distributions, training pipeline, weights, dataset, and live demos.
Train a small model that chooses among a changing list of text options, one probability per option in a single pass. Includes Doom, chess, and Wikispeedia demos.
One-pass typed decisions with calibrated probabilities (System One style model), fine-tuned from Qwen3.5-2B.
An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.
A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
Personal-assistant agent built on Vercel's eve with 100 mocked tools, measuring how many steps it takes when Jev picks the tool versus the LLM.
One-pass option scoring with a local Gemma 3 4B on Apple silicon via MLX, inspired by jevlike, with a Doom demo.
JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open.
WebMCP benchmark comparing browser-agent interfaces, with Jev included as one of the evaluated configurations.
Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground.
Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.
Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks.
Mini-Jev: what a Jev-style typed-decision interface looks like on a frozen Qwen3-4B — read the option letter's logits instead of generating JSON. Preregistered experiment, results, teaching bench.
A reproduction of Jev that turns any Qwen model into a fast decision model, serving the same /v1/systemone schema (Choice, Score, Noul) with no training and no generated answer text.
Type-safe one-decision-per-token decoding engine for autoregressive LLMs, inspired by Jev.
Compares Jev with other structured-output models on shared application tasks, recording errors, latency, Tokens, and estimated cost.
JEV-inspired parallel decisions for CUDA LLMs. One context, many decisions. vLLM API, game-agent examples, and reproducible benchmarks.
Open replica of TypeSafe's Jev: typed calibrated decisions in one forward pass, on Gemma 4 E2B / Gemma 3 270M (Modal).
看看 Jev 能做什么:用中英文讲清热门应用、工作原理和各自优缺点。Explore Jev apps with plain-language examples, explanations, and comparisons.
Local bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev.
Batched single-token choice inference for open language models, compatible with TypeSafe.
A Rust dataset-filtering experiment using Jev scores to keep or reject text records.
An Agent Skill for finding suitable Jev decision points and designing questions and comparison experiments.
Unofficial study: Jev-style parallel typed decisions on stock 1.5B-8B models on an Apple Silicon laptop. Benchmarks, research notes, and a Hugging Face Space demo.
Jev vs Gemini 3.8 Flash: labelling 1,000 app reviews, 4.1× faster and 7× cheaper.
A chatbot built on a model that cannot generate text (TypeSafe AI's Jev, driven autoregressively).
A benchmark comparing Jev and GLiNER on text classification, probability calibration and selective automation.
A stronger one-pass scorer over a variable list of text options: hashed n-gram encoder, rival-aware attention, gated head, temperature scaling, benchmarked against jevlike.
An experimental JEV-powered framework for forecasting short-term stock price direction from structured market data.
Decision harness for TypeSafe Jev — confidence gates, shadow mode, recipes, and evals. Claude CLI 48.9s → Jev 1.3s on the same row-filter job.
A toolkit for evaluating Jev probabilities on labeled data, selecting confidence thresholds and checking model drift.
Inspired by TypeSafe Ai, Ask a local LLM typed questions, get calibrated probabilities instead of text. Structured output without generation or parsing. MLX / Apple Silicon.
Can a decision model beat dedicated rerankers? TypeSafe Jev vs Cohere Rerank 4 vs ZeroEntropy zerank-2 vs a chat-model baseline: 14 datasets, every raw API response, bootstrap ranges on every gap.
Backtest Jev (TypeSafe) as a BUY/SELL/HOLD trader on NQ L10 order-book data.
Reproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence.
Benchmarks and a playground for TypeSafe's Jev (System One) model: chess, and who-is-the-player-talking-to for speech-to-text game NPCs.
A word-level generation experiment that asks Jev to select words or verify locally drafted continuations.
Does a TypeSafe Jev rerank beat embedding search? Graded relevance eval (9,831 pairs, 164 zh/en queries) over the Agent Skills Hub catalog, with the judge-circularity bias measured.
A Python toolkit for Jev requests, batch evaluation, calibration and MCP access.
LegalForecast-MTD benchmark alpha and official evaluation workflows.
An island-airport simulator using Jev for routes, yielding, emergency broadcasts and landing order.
Discriminative Monte Carlo Tree Search using TypeSafe Jev System One Primitives and Gemini.
Reproducible evaluation of Jev calibration on synthetic support tickets and public classification benchmarks.
Open-source Jev-style System One decision model. Gemma 3 270M with a scoring head — fast, calibrated decisions in a single forward pass. No text generation. Inspired by TypeSafe.ai's Jev.
Jev (TypeSafe) vs Claude Haiku 4.5 on 2 000 phishing emails: accuracy, calibration, latency, cost. Reproducible benchmark.
Jev-shaped typed-decision models with measured latency, accuracy, calibration, and training cost.
Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B.
Open, local reimplementation of a Jev-style decision layer for job postings.
Eight mechanical and electrical engineering experiments using Jev for task routing, log checks and component selection.
Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.
An independent Jev 1.13.0 behavior study recording successes and failures across question framing, input conditions and games.
A research repository tracking Jev claims and limitations, with calibration experiments and runnable examples.
A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.
Reproducible calibration and selective-risk benchmarks for Jev/TypeSafe decisions in DSPy workflows
Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions.
Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go.
A benchmark using Jev to attribute multi-Agent failures to an Agent, step and error type.
Benchmarking TypeSafe's Jev decision model as a cost-efficient LLM router on RouterArena.
Reproducible Jev Ultrafast research-browser eval harness + field note (QC’d cases, suite runner, report generator). Not investment advice.
Reproducible Jev research manuscript, evidence, and paper package.
Independent benchmark data for TypeSafe's Jev (System One model) vs LLMs: accuracy, calibration, cost. Boards + per-decision logs, CC-BY-4.0
On-device iPhone visual decision tool using MLX and Qwen3-VL direct option logits.
A Jev title-and-abstract screening experiment compared with Cohen Abstract Triage labels for an ADHD review.
A Jev-inspired decision interface for existing LLMs. Explicit choices, scores, calibration, and review thresholds.
An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice.
AI benchmark on Japan's 2026 Common Test: Jev vs luna-none vs luna-low (static dashboard).
Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
Experiments with openjev, an open Jev-style option-logit runner, on local models.
Typed-decision benchmark from PadFlow (land development SaaS): schemas, anonymized labeled rows, and a runner for confidence-calibrated models like TypeSafe Jev.
An evaluation of typesafe AI chess. As it turns out, the AI isn't doing really well even though chess is not a particularly open-ended game. Still, it's only a prototype and this probably wasn't optimzied for games.
Does Jev predict stock returns from news? It reads the news well; there is no tradeable alpha. Three arms separate reading from recall.
Can Jev pick the winner of a real headline A/B test? 64.5% across 10,984 Upworthy randomized experiments, 74.7% when the difference was decisive.
发明 RLHF 的人,这次做了个不会说话的模型:Jev 独立研究报告。52 页 PDF + 50 条中文实测复现包 + 143 条可回溯数据表.
TypeScript experiments, evaluations, and latency benchmarks for TypeSafe's Jev model.
Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines.
A small second eval for shadcn-ui/lint that uses TypeSafe's Jev to judge the linter's own output.
Rust port of TypeSafe system-one-adapter (LLM-backed system_one evaluations).
Position paper: the Hidden-Markov and fuzzy primitives missing from TypeSafe AI's Jev and System-One decision models. Two lemmas, one principle (Deferred Crispification), one architecture (BSF-S1).
Benchmarks Jev against other evaluation models in games with explicit states, legal actions, and measurable outcomes.
Audits Jev calibration, option-wording effects and Korean judgments through public APIs and datasets.
Research workspace containing reproducible TypeSafe Jev evaluation and safety-judgment experiments.
Jev (TypeSafe) vs. Gemini 3.8 Flash vs. GPT-5.6 Luna na anotação estruturada de sentenças do TJSP: qualidade, tempo e custo.
Reproducible review-classification comparison measuring Jev and Luna accuracy, latency, and cost.
Ongoing Japanese research deck on Jev and System One models, maintained as Markdown slides.
Evaluating TypeSafe's Jev as a fast monitor and action gate for agent sabotage in SHADE-Arena, compared with Gemini 2.5 Flash/Pro.
Research toolkit applying conformal risk control and prediction-powered inference to certify Jev routing thresholds.
TypeSafe's Jev vs gpt-5.4-mini and gpt-5.6-luna on four public classification sets: cases, per-item answers, scoring, charts
Jev (TypeSafe) 性能評価プロジェクト — 日本郵便 KEN_ALL をマスタに、AI SDK 経由の Jev が住所のあいまい一致にどこまで使えるかを検証.
Application of TypeSafe Jev (noul judgment primitive) on the collusion.wiki corpus: agent vs human page authorship, head-to-head vs local Qwen3.8-Flash-Next.
Using Jev to test how well it predicts financial markets(just like most llms as of september 2026, it doesnt do that good).
Evaluating TypeSafe's System One primitives (Choice/Score/Noul) — where a typed oracle beats an LLM call.
A small reproducible MuJoCo pilot comparing Jev, Claude Haiku, and reactive rules for pick-and-place.
Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models.
Adversarial Jev evaluation suite with preregistered predictions, request logs, and reproducible experiment artifacts.
Does ORDER BY over a Jev probability put rows in a defensible order? Independent ranking, calibration and invariant measurements of TypeSafe AI's Jev: passes six pre-registered gates on 360 labeled rows, fails four of six on graded product relevance.