# Open models and replicas

29 entries.

- [SemIf](https://github.com/TheoLeeCJ/SemIf) - Semantic ifs from open models on a single 3090; the most starred independent replica, formerly openjev.
- [jevlike](https://github.com/vinnylarouge/jevlike) - Open option scorer that reads candidate logits instead of generating JSON.
- [NanoJev](https://github.com/TianyuCodings/NanoJev) - 0.6B replica with parallel decisions, dynamic candidates, and an end-to-end training pipeline.
- [openjev-sglang](https://github.com/ekzhang/openjev-sglang) - Jev-compatible API endpoint on SGLang, prefill only.
- [jev-visual](https://github.com/hr98w/jev-visual) - Educational visual-inference variant on Apple Silicon: shared context, direct candidate scoring.
- [reflex](https://github.com/kshetrajna12/reflex) - Small open decision model on Qwen3.5: state plus typed questions to calibrated probabilities.
- [decider](https://github.com/Mapika/decider) - One-pass typed decisions fine-tuned from Qwen3.5-2B.
- [jevmlx](https://github.com/bnsd55/jevmlx) - Parallel constrained decisions for any MLX model on Apple Silicon, one forward pass.
- [mini-jev](https://github.com/r-ms/mini-jev) - Preregistered experiment on a frozen Qwen3-4B: read the option letter's logits, skip the JSON.
- [system-one-open](https://github.com/mithalouni/system-one-open) - Typed calibrated decisions in one forward pass on Gemma 4 E2B and Gemma 3 270M.
- [Verdict-open-jev](https://github.com/Heman10x-NGU/Verdict-open-jev) - Non-autoregressive decision engine on ModernBERT with calibrated uncertainty and an in-browser WebGPU playground.
- [jevfire](https://github.com/kikoncuo/jevfire) - Parallel decisions for CUDA LLMs through a vLLM API, with game-agent examples and benchmarks.
- [jevbetter](https://github.com/olanotolu/jevbetter) - A stronger one-pass scorer with a head-to-head benchmark against the jevlike starter design.
- [open-alternative-jev](https://github.com/ikermoel/open-alternative-jev) - Typed, calibrated decisions from any open-weights model in one forward pass, on Hugging Face and vLLM.
- [openjev by zhihz](https://github.com/zhihz/openjev) - Bilingual local decisions from context, questions, and candidate answers.
- [jev-on-a-laptop](https://github.com/rorshopping/jev-on-a-laptop) - Study of Jev-style decisions on stock 1.5B to 8B models on a laptop, with a Hugging Face demo.
- [typesafe-ai-benchmark](https://github.com/iammrduncan/typesafe-ai-benchmark) - LLM gateway that mimics the TypeSafe response shape, useful as a stand-in while you wait for a key.
- [Parallel constrained decoding](https://huggingface.co/spaces/drinkmoonshine/parallel-constrained-decoding) - Hugging Face Space demonstrating RLCD-style parallel decoding on Qwen2.5-1B.
- [openvons](https://github.com/genai-craft/openvons) - Open decision layer answering a finite option set with probabilities split into execute, confirm, and reject. Independent replica, not TypeSafe weights.
- [von](https://github.com/wfzyx/von) - Non-autoregressive open decision model reporting under 15 ms locally, as a drop-in alternative to Jev.
- [litjev](https://github.com/zhengxuyu/litjev) - Turns any off-the-shelf LLM into a Jev-style decision layer.
- [open-jev](https://github.com/JoshuaSP/open-jev) - Typed JSON inference with DiffusionGemma, benchmarked against Jev.
- [kev](https://github.com/jaredpalmer/kev) - 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.
- [simple-jev](https://github.com/featherless-ai/simple-jev) - Reads next-token logits from any Hugging Face model for choice, rubric, and support questions; public demo API with no key.
- [OpenJev by razorback16](https://github.com/razorback16/openjev) - Jev-compatible decision server on DiffusionGemma 26B through vLLM, images included, hosted free on [Codiv](https://codiv.ai).
- [openjev by daseinlabs](https://github.com/daseinlabs/open-jev) - Prefills once and scores every option in one padded pass on Gemma 3 4B with MLX; plays Doom from the terminal in the demo.
- [jeff by logan-markewich](https://github.com/logan-markewich/jeff) - Self-hosted System One API on the 400M GLiFormer, with benchmarks that say where it trails Jev.
- [JevForge](https://github.com/zwliJay/jev-forge) - 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.
- [PlayJev](https://github.com/OmniJev/PlayJev) - 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.

Page: https://awesomejev.vercel.app/c/open-models-and-replicas/