JEV is INSANE. We gave it 700 high-intent leads and personalised outreach messages. In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches. All for just $0.09. JEV can also score leads, analyse buying Show more
Simple Jev Project
A local server and Python package that runs open models with Hugging Face Transformers or PyTorch and returns Choice, Score, and Noul answers read from next-token logits instead of generated JSON.
- Category
- Repos & SDKs
- Published by
- Community
- Author
- featherless-ai
- Added
- 2026-09-22
Tagscommunitypythonopen-modelsclassificationsdk
Highlights
- The server builds JSON responses from next-token logits, so nothing is generated and usage.output_tokens is always zero.
- A public demo API needs no login or key, with a 2k-token context limit and 2 requests per second; Featherless paid plans raise the limits.
- Backends cover a Hugging Face server, a native Laya Typed Decisions encoder with a 1,024-token-per-question default, and RFDT fine-tuning scripts.
- usage.input_tokens counts unique token prefixes and shares the common context across the questions in a request.
- Ships a playground and documentation at simple-jev.featherless.ai plus a shared common/ module for validation, prompt planning, and scoring.
Quickstart
bash
git clone https://github.com/featherless-ai/simple-jev.git
cd simple-jev
python3 -m venv .venv && source .venv/bin/activate
python -m pip install -e './hf-server'
python hf-server/hf_server.py --model Qwen/Qwen3.5-0.8B --device cpu --dtype float32Watch out
Apache-2.0. Needs Python 3.12+ and downloaded weights; the demo API is limited to 2k tokens and 2 RPS, and calibration varies by model.
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From the community
Posts from builders shipping with Jev right now.
700 leads scored for $0.09
Beating Gemini Flash Lite on an eval
Ran @typesafeai's Jev against an existing classifier eval that previously used Gemini 2.5 Flash Lite. It won both on quality (saturated the eval) and speed (6x)
Browser Use Ultrafast, powered by Jev
Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓
A really smart switch statement
hype-free explanation of jev: jev does not replace gpt / claude jev is just a *really* smart switch statement like if 2016 ml classifiers got 2026 levels of intelligence it's a new* type of tool that will make a lot of workloads insanely fast, cheap, and accurate * = and by Show more
@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
When a designer gets Jev
when a designer gets access to Jev
Full Jev video tutorial
Full Jev Tutorial What it is, how you can build with it and what new applications it can unlock → 0:00 Intro → 0:34 Jev explained → 4:06 API setup → 5:59 Demo 1: Voice-controlled browser → 11:33 Demo 2: AI memory → 17:27 Demo 3: YouTube predictor