Decision modelOpen source

Lev

Interfaze AI

Released: -
Data date: October 3, 2026

Model class: System One LoRA adapter for typed decisions, not standalone base weights
Access: Local execution on your GPU or CPU with an optional Jev-compatible server

Lev is Interfaze AI’s LoRA adapter for typed decisions over a state. You provide text, a ticket, an email, or JSON together with yes-or-no, Choice, and Score questions. Lev reads the answers from already computed logits and returns calibrated probabilities with zero output tokens. Its interface is compatible with TypeSafe’s /v1/systemone protocol.

The adapter sits on Qwen3.5-4B and is released under Apache-2.0. Separately loaded base weights complement the adapter. Lev is therefore not a standalone 4B weight checkpoint.

Specifications and access

Specification	Value and source
Model class	System One LoRA adapter for typed decisions, not standalone base weightsSource
Output schema	Noul, Choice, and Score with calibrated probabilities and no output tokensSource
Input	Text, tickets, emails, or JSON as stateSource
Access	Local execution on your GPU or CPU with an optional Jev-compatible serverSource
Checkpoint	interfaze-ai/levSource
Base model	Qwen/Qwen3.5-4B, adapted through a LoRA adapterSource
Weights	Apache-2.0 adapter, base weights must be loaded separatelySource
License	Apache-2.0Source

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

S1Bench: vitaminc-dev: accuracy (fraction) (Show measurement, test conditions, and source)

Source value: 0.668
Score: 0.668
Metric: accuracy
Unit: ratio
Category: S1Bench: vitaminc-dev
Direction: Higher is better
Sample: 3880
Source type: vendor-reported
Evaluator: Interfaze AI Lev model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Total scored items=3880; Subsets=13; Harness=Nimble-pinned manifests; Checkpoint=Qwen3.5-4B LoRA adapter with provider serving runtime

Source Interfaze AI Lev model card

S1Bench: massive-en-US: accuracy (fraction) (Show measurement, test conditions, and source)

Source value: 0.857
Score: 0.857
Metric: accuracy
Unit: ratio
Category: S1Bench: massive-en-US
Direction: Higher is better
Sample: 3880
Source type: vendor-reported
Evaluator: Interfaze AI Lev model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Total scored items=3880; Subsets=13; Harness=Nimble-pinned manifests; Checkpoint=Qwen3.5-4B LoRA adapter with provider serving runtime

Source Interfaze AI Lev model card

S1Bench: massive-de-DE: accuracy (fraction) (Show measurement, test conditions, and source)

Source value: 0.823
Score: 0.823
Metric: accuracy
Unit: ratio
Category: S1Bench: massive-de-DE
Direction: Higher is better
Sample: 3880
Source type: vendor-reported
Evaluator: Interfaze AI Lev model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Total scored items=3880; Subsets=13; Harness=Nimble-pinned manifests; Checkpoint=Qwen3.5-4B LoRA adapter with provider serving runtime

Source Interfaze AI Lev model card

S1Bench: boolq: accuracy (fraction) (Show measurement, test conditions, and source)

Source value: 0.827
Score: 0.827
Metric: accuracy
Unit: ratio
Category: S1Bench: boolq
Direction: Higher is better
Sample: 3880
Source type: vendor-reported
Evaluator: Interfaze AI Lev model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Total scored items=3880; Subsets=13; Harness=Nimble-pinned manifests; Checkpoint=Qwen3.5-4B LoRA adapter with provider serving runtime

Source Interfaze AI Lev model card

S1Bench: squad2: accuracy (fraction) (Show measurement, test conditions, and source)

Source value: 0.813
Score: 0.813
Metric: accuracy
Unit: ratio
Category: S1Bench: squad2
Direction: Higher is better
Sample: 3880
Source type: vendor-reported
Evaluator: Interfaze AI Lev model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Total scored items=3880; Subsets=13; Harness=Nimble-pinned manifests; Checkpoint=Qwen3.5-4B LoRA adapter with provider serving runtime

Source Interfaze AI Lev model card

S1Bench: paws: accuracy (fraction) (Show measurement, test conditions, and source)

Source value: 0.776
Score: 0.776
Metric: accuracy
Unit: ratio
Category: S1Bench: paws
Direction: Higher is better
Sample: 3880
Source type: vendor-reported
Evaluator: Interfaze AI Lev model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Total scored items=3880; Subsets=13; Harness=Nimble-pinned manifests; Checkpoint=Qwen3.5-4B LoRA adapter with provider serving runtime

Source Interfaze AI Lev model card

S1Bench: multinli: accuracy (fraction) (Show measurement, test conditions, and source)

Source value: 0.89
Score: 0.89
Metric: accuracy
Unit: ratio
Category: S1Bench: multinli
Direction: Higher is better
Sample: 3880
Source type: vendor-reported
Evaluator: Interfaze AI Lev model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Total scored items=3880; Subsets=13; Harness=Nimble-pinned manifests; Checkpoint=Qwen3.5-4B LoRA adapter with provider serving runtime

Source Interfaze AI Lev model card

S1Bench: civil_comments: accuracy (fraction) (Show measurement, test conditions, and source)

Source value: 0.76
Score: 0.76
Metric: accuracy
Unit: ratio
Category: S1Bench: civil_comments
Direction: Higher is better
Sample: 3880
Source type: vendor-reported
Evaluator: Interfaze AI Lev model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Total scored items=3880; Subsets=13; Harness=Nimble-pinned manifests; Checkpoint=Qwen3.5-4B LoRA adapter with provider serving runtime

Source Interfaze AI Lev model card

S1Bench: aegis2: accuracy (fraction) (Show measurement, test conditions, and source)

Source value: 0.8
Score: 0.8
Metric: accuracy
Unit: ratio
Category: S1Bench: aegis2
Direction: Higher is better
Sample: 3880
Source type: vendor-reported
Evaluator: Interfaze AI Lev model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Total scored items=3880; Subsets=13; Harness=Nimble-pinned manifests; Checkpoint=Qwen3.5-4B LoRA adapter with provider serving runtime

Source Interfaze AI Lev model card

S1Bench: helpsteer2: accuracy (fraction) (Show measurement, test conditions, and source)

Source value: 0.386
Score: 0.386
Metric: accuracy
Unit: ratio
Category: S1Bench: helpsteer2
Direction: Higher is better
Sample: 3880
Source type: vendor-reported
Evaluator: Interfaze AI Lev model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Total scored items=3880; Subsets=13; Harness=Nimble-pinned manifests; Checkpoint=Qwen3.5-4B LoRA adapter with provider serving runtime

Source Interfaze AI Lev model card

S1Bench: summeval-relevance: accuracy (fraction) (Show measurement, test conditions, and source)

Source value: 0.358
Score: 0.358
Metric: accuracy
Unit: ratio
Category: S1Bench: summeval-relevance
Direction: Higher is better
Sample: 3880
Source type: vendor-reported
Evaluator: Interfaze AI Lev model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Total scored items=3880; Subsets=13; Harness=Nimble-pinned manifests; Checkpoint=Qwen3.5-4B LoRA adapter with provider serving runtime

Source Interfaze AI Lev model card

S1Bench: summeval-consistency: accuracy (fraction) (Show measurement, test conditions, and source)

Source value: 0.271
Score: 0.271
Metric: accuracy
Unit: ratio
Category: S1Bench: summeval-consistency
Direction: Higher is better
Sample: 3880
Source type: vendor-reported
Evaluator: Interfaze AI Lev model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. Total scored items=3880; Subsets=13; Harness=Nimble-pinned manifests; Checkpoint=Qwen3.5-4B LoRA adapter with provider serving runtime

Source Interfaze AI Lev model card

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Sources and data date

Every statement links to its underlying documentation or leaderboard.

Type	Evidence and data date
Research status	Research date October 4, 2026. 1 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Unresolved	serving-revision Original wording Starred held-out values predate the last serving update; after-update rows remain separate.
Additional source	Lev model card (retrieved October 3, 2026; October 4, 2026) · Lev model card · Editorial description reviewed October 4, 2026
Additional source	Lev announcement (retrieved October 3, 2026) · Lev announcement · Editorial description reviewed October 4, 2026