Run Laya Decision models locally with Unsloth on 4GB RAM

Melvin Vivas · X post · 2026-09-29 · Open on X

Topics: LLMOps, Deployment & Monitoring, Fine-tuning & Model Customization · Level: intermediate

Summary

Unsloth now lets you run Laya Decision models, described as an alternative to Jev, on your own machine with as little as 4GB of RAM. It works on CPU, Mac, Windows, Linux and GPU. Unsloth Desktop can serve Laya through a Jev-compatible API.

Key points

• Laya Decision models can run locally on about 4GB of RAM.
• Supported setups: CPU, Mac, Windows, Linux and GPU.
• Unsloth Desktop serves Laya through a Jev-compatible API, so code written for Jev can point to it instead.
• Unsloth publishes a setup guide in its documentation.

Resources mentioned

• Unsloth · tool · unsloth.ai · free
  Open-source library for fast, memory-efficient fine-tuning of open LLMs (LoRA/QLoRA) on a single GPU or in Colab.
  Also in: Unsloth passes 500M model downloads on Hugging Face (Melvin Vivas on X · notes), Run Qwen-Image-2.1 locally on 12GB VRAM with Unsloth GGUFs (Melvin Vivas on X · notes), Base vs fine-tuned Gemma 4 E2B as a model router (Melvin Vivas on X · notes), QLoRA fine-tune Gemma 4 E2B with Unsloth as a model router (Melvin Vivas on X · notes) and 29 more
• Unsloth Documentation: Decision Laya guide · docs · unsloth.ai · free
  Unsloth's guide to running and serving Laya Decision models locally.
• Unsloth Desktop · tool · unsloth.ai · free
  Unsloth's desktop app for running local models and serving them through compatible APIs.
• Laya Decision models · tool · laya.convaiinnovations.com · free
  A model family pitched as an alternative to Jev that can run locally on low-memory hardware.
• Jev · tool · typesafe.ai · paid
  A decision model that makes turn-level forecasts on AI agent conversations using only structural signals (turns, tool calls, workflow stages, timing).
  Also in: Generating a Repo Promo Video with a Claude Skill on Sonnet 5.5 vs Opus 5.5 (Melvin Vivas on X · notes), GLiDE by Fastino Labs: A Post-Trainable Reasoning Decision Model (Melvin Vivas on X · notes), Using Jev as a Reranker to Augment RAG Retrieval (Melvin Vivas on X · notes), Using Jev (TypeSafe AI) as a Decision Model for Email Classification (Melvin Vivas on X · notes) and 12 more

Try this

• Follow the Unsloth guide to run Laya locally.
• Serve Laya locally through Unsloth Desktop and point an existing Jev-based app at the compatible API.