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tinyjev

A tiny jev-like model that answers Choice, Score and Noul questions in one forward pass and returns calibrated probabilities. MLX or PyTorch, fully offline, System One compatible.

Details

External ID
1381518258
Source
GITHUB
Company
—
Product
tinyjev
Website domain
huggingface.co
Launched
Sept. 22, 2026
Cohort
—
Upvotes
25
Upvotes percentile
0.6742890084550346
Tags
decision-model, jev, jev-model, mlx, qwen3, small-language-models, system-one, typed-decisions, typesafe
Fetched at
Sept. 26, 2026, 10:54 p.m.
Updated at
Sept. 26, 2026, 10:54 p.m.

Enrichment

Theme
decision model runtimes and tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
offline evaluation model for choice and scoring tasks
Manually corrected
False

Could you build this?

No Developing and training a calibrated 0.6B specialized classification/decision model requires model architecture design, curated training datasets, and GPU training runs.

What it would actually take: Building TinyJev requires curating a diverse dataset of structured reasoning/decision tasks with calibrated ground-truth confidence scores, followed by supervised fine-tuning and calibration optimization (e.g., Platt scaling or temperature tuning) on a base model like Qwen. The stack entails PyTorch/MLX, Hugging Face transformers, and distributed GPU training infrastructure with machine learning research expertise.

Competitors

Other products that read as similar to this one — 277 launches clear the similarity bar, closest 8 shown.

Attention rank: #143 of 278 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 280 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.