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NVIDIA

Advancing NVIDIA Nemotron for finance and healthcare

Advancing NVIDIA Nemotron for finance and healthcare

Announcing specialized, open weight variants of Nemotron 3.5 Lightning, developed in collaboration with NVIDIA and trained by the Fastino Fine-Tuning Agent.

+43.4pp

FinQA gain

over base

FinQA gain over base

~2×

fine-tuning gain

vs Qwen 3.6

~2×

fine-tuning gain vs Qwen 3.6

3B

active

parameters

3B

active parameters

Launch

Announcement

Introducing Fastino-Nemotron-3.5-Lightning Finance & Healthcare

Two specialist models built with NVIDIA on Nemotron 3.5 Lightning: open weights, one rank-32 adapter per domain, available today.

Read the announcement

Research

Fine-tuning lessons

Small model, big leverage: fine-tuning Nemotron 3.5 Lightning

What our autonomous agent learned across hundreds of training runs: seven lessons and ten reusable post-training recipes.

State of the art text extraction and classification for agents, powering 1 billion daily end users

Learn more

Research

Technical paper

Behind the Fine-Tuning Agent

The founding research behind the Fastino Fine-Tuning Agent's closed-loop training system.

Read the paper

The models

The models

Open weights on Hugging Face · Apache 2.0

Fastino-Nemotron-3.5-Lightning-Finance

New

Executable financial programs, table arithmetic, and numerical extraction: six finance skills in a single rank-32 adapter.

FinQA

15.9→ 59.2%

TAT-QA (F1)

19.0 → 56.6%

SEC-Num

79.7 → 87.6%

Outperforms Nemotron 3 Ultra on BigFinanceBench while activating 3B parameters per token.

Open on Hugging Face

Fastino-Nemotron-3.5-Lightning-Healthcare

New

Physician-graded conversation, biomedical reasoning, clinical calculation, error correction, and concept extraction: six clinical skills, one adapter.

HealthBench

49.7 → 56.2%

PubMedQA

59.0 → 65.0%

MEDEC

50.9 → 63.9%

Within 0.1 points of GPT-5.5 Instant on HealthBench, at a fraction of the active parameters.

Open on Hugging Face

Why Nemotron

Nemotron SOTA in fine-tunability study

In a matched study with identical training data, settings, and evaluations, Nemotron 3.5 Lightning consistently exhibited more fine-tuning improvement than Qwen 3.6

FinQA

+32.6 vs +24.6

TAT-QA exact

+41.5 vs +14.6

BigFinanceBench

+5.6 vs −5.6

Points gained from identical fine-tuning data. Green: Nemotron 3.5 Lightning · grey: Qwen3.6-35B-A3B · orange: regression.

Fine-tune NVIDIA Nemotron on your own data

The autonomous agent that built these models is now available in private preview.

Request access

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