Tev1 4B — VRAM & /v1/systemone setup

Call Tev1 4B

Pull it with Ollama 0.35 or newer, then POST to /v1/systemone. Do not use ollama chat commands — this is not a chat model.

Question types

choice noul (yes / no) score

Inputs

text

Max candidates per question

26

Serve with

ollama pull tev1

Endpoint

/v1/systemone

curl http://localhost:11434/v1/systemone \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "tev1",
    "state": {
      "ticket": "I was charged twice. Please refund the extra payment."
    },
    "questions": {
      "team": {
        "type": "choice",
        "instructions": "Which team should handle this ticket?",
        "criteria": {
          "billing": "Payments and refunds",
          "technical": "Bugs and integrations",
          "other": "None of the above"
        }
      }
    }
  }'

Build a request for this model → Decision models guide

Other decision models: Nimble 9B · Tev1 0.8B · Winnow 12B · Winnow E4B · Decider 2B · Decider 4B · Decider 35B-A3B (NVFP4) · JevK5 4B · Intern-Decision 4B · AutoJev 27B · Laya · Clef 27B · Clef-Flash 9B · Rune 26B-A4B v3 · OpenDecider-nano · OpenDecider-small · OpenDecider-small MLX 4-bit · Bosun v3.1 0.6B · Bosun v3.1 1.7B · d1-3B · d1-omni-600M · THX-01 322M

Hardware fit

Weights plus overhead plus the KV cache at a 8,192-token prompt, on NVIDIA RTX 4090 (24 GB). A publisher build is sized from its file; the other rows are modelled at a standard quant. Decision requests are short, so no long-context figure is shown.

Published file size: Ollama build 4.5 GB. A download size from the model publisher — not a VRAM requirement.

Model card: a Jev-inspired experiment, not a non-autoregressive Jev runtime; keeps Qwen's LM head. Ollama card: keep inputs ~2,000 tokens; not for high-stakes decisions without review.

How it was scored

Two different suites on two different scales. Never compare the numbers across the two cards.

Decision models are not ranked on chat, creative or coding scores.

Specyfikacja

Verified — Checked against the primary source — the model card or the vendor spec page — and corroborated by a second independent source. Jeszcze niepotwierdzone: license.

Parametry

4.66B

Okno kontekstu

Not published

Architektura

Fine-tune of Qwen/Qwen3.5-4B

Dostawca

Together AI

Licencja

Not stated on the model card

Practical deployment

Edge device (phone, SBC)

Określono przy

Q4_K_M

RAM systemowy

8 GB

Rekord zaktualizowany

2026-09-30

Inne rozmiary Tev1 (experimental)

• Tev1 0.8B~1 GB przy Q4_K_M

Tev1 4B — najczęściej zadawane pytania