---
type: "raw_signal"
id: "how-to-train-your-own-jev-for-17-f2461d"
slug: "how-to-train-your-own-jev-for-17-f2461d"
title: "How to train your own Jev for $17"
description: "Together AI announced together/Tev1-4B-experimental, an experimental Jev-like classifier built on Qwen3.5 4B and offered on Together’s serverless platform."
retrieval_nugget: "Together AI announced together/Tev1-4B-experimental, an experimental Jev-like classifier built on Qwen3.5 4B and offered on Together’s serverless platform."
observed_at: "2026-09-24"
record_date: "2026-09-24"
date_kind: "observed_at"
why_it_matters: "Together AI announced together/Tev1-4B-experimental, an experimental Jev-like classifier built on Qwen3.5 4B and offered on Together’s serverless platform. Its accompanying post is also a fine-tuning tutorial for building a custom version. The source’s “$17” framing is a claimed example scenario, not a general cost guarantee."
novelty: "notable"
verification_level: "source-linked"
signal_type: "release"
source_platform: "together.ai"
topics: []
entities: []
related_patterns: []
source_url: "https://www.together.ai/blog/how-to-train-your-own-jev"
source_urls: ["https://www.together.ai/blog/how-to-train-your-own-jev"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:how-to-train-your-own-jev-for-17-f2461d"
status: "published"
visuals: []
routes: {"html":"https://newruntime.com/signals/how-to-train-your-own-jev-for-17-f2461d/","markdown":"https://newruntime.com/signals/how-to-train-your-own-jev-for-17-f2461d.md","json":"https://newruntime.com/signals/how-to-train-your-own-jev-for-17-f2461d.json"}
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
---

# How to train your own Jev for $17

## Retrieval answer

Together AI announced together/Tev1-4B-experimental, an experimental Jev-like classifier built on Qwen3.5 4B and offered on Together’s serverless platform.

Together AI announced together/Tev1-4B-experimental, an experimental Jev-like classifier built on Qwen3.5 4B and offered on Together’s serverless platform. Its accompanying post is also a fine-tuning tutorial for building a custom version. The source’s “$17” framing is a claimed example scenario, not a general cost guarantee.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- collection: [Raw Signals](https://newruntime.com/signals.json): Open every source-linked raw signal.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)
