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kev

tiny Jev-like family of decision models built on top of Qwen3.5 you can train and run on your own

Details

External ID
1375069862
Source
GITHUB
Company
—
Product
kev
Website domain
github.com
Launched
Sept. 17, 2026
Cohort
—
Upvotes
2052
Upvotes percentile
0.9988470407378939
Tags
decision-model, jev, qwen3
Fetched at
Sept. 21, 2026, 5:02 p.m.
Updated at
Sept. 21, 2026, 5:02 p.m.

Enrichment

Theme
local AI inference and runtimes
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
small language model for macbook training and inference
Manually corrected
False

Could you build this?

No Fine-tuning and distilling a lightweight foundation model to run efficiently on Apple Silicon requires specialized ML research, data curation, and local quantization expertise.

What it would actually take: Requires an ML training pipeline using PyTorch/MLX or Transformers with custom LoRA/QLoRA recipes, a curated high-quality alignment dataset, and optimization for Apple Silicon via Apple MLX or llama.cpp/GGUF quantization. Deep understanding of tokenizer behavior, small model distillation dynamics, and memory-constrained inference is needed.

Competitors

Other products that read as similar to this one — 137 launches clear the similarity bar, closest 8 shown.

Attention rank: #3 of 138 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 264 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.