Tev1 0.8B — VRAM & /v1/systemone setup

Call Tev1 0.8B

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.

curl http://localhost:11434/v1/systemone \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "tev1:0.8b",
    "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 4B · Winnow 12B · Winnow E4B · Decider 2B · Decider 4B · Decider 35B-A3B (NVFP4) · JevK5 4B · Intern-Decision 4B · AutoJev 27B · Laya

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 0.812 GB. A download size from the model publisher — not a VRAM requirement.

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.

Specifications

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

Parameters

0.87B

Context window

Not published

Architecture

Fine-tune of Qwen/Qwen3.5-0.8B

Provider

Together AI

Licence

Not stated on the model card

Specified at

Q4_K_M

System RAM

8 GB

Record updated

2026-09-30

Other Tev1 (experimental) sizes

• Tev1 4B~4 GB at Q4_K_M

Tev1 0.8B — frequently asked questions