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Fastino Nemotron 3.5 Super VL Finance

Fastino Nemotron 3.5 Super VL Finance is a 120B-parameter, 12B-active text model fine-tuned for financial reasoning, extraction, and research. Its published BF16 checkpoint is a merged model that combines the Nemotron 3.5 Super VL language backbone with Fastino’s finance adapter; the vision encoder is not included.

What it does

Use it to answer questions about financial documents and tables, extract numerical spans and financial entities, and conduct source-grounded financial research.

Availability
Published BF16 weights on Hugging Face
Pricing model
Not established
Deployment
Can be run with vLLM; about 247 GB required before runtime overhead
Privacy
Not established
Licence
Apache License 2.0
Capability
analysisextraction
Modality
text
Access
open weights
Deployment
on-premises
Pricing
open-source
Target user
developerresearcherenterprise

Evidence

6 claims
  • The model is specialized for financial reasoning, extraction, and research. [1]
    `Fastino-Nemotron-3.5-Super-VL-Finance` is a 120B-parameter, 12B-active hybrid Mamba-Transformer mixture-of-experts model specialized for financial reasoning, extraction, and research.
    Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The model targets financial document reasoning, numerical question answering over filings and tables, and numeric span extraction. [1]
    The model targets financial document reasoning, numerical question answering over filings and tables, numeric span extraction, financial entity recognition, conversational analysis, and source-grounded financial research.
    Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The repository contains a ready-to-run merged checkpoint. [1]
    The repository contains a ready-to-run merged checkpoint: the language backbone of the NVIDIA Nemotron 3.5 Super VL early-access checkpoint plus Fastino's combined-finance LoRA adapter.
    Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The published BF16 weights require about 247 GB before runtime overhead. [1]
    The published weights are BF16 and require about 247 GB before runtime overhead.
    Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The model's vision encoder is not included, and its modalities are text. [1]
    * **Modalities:** Text (the vision encoder of the VL base is not included)
    Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The model is licensed under the Apache License 2.0. [1]
    This model is licensed under the Apache License 2.0.
    Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.

Sources

1
1
Hugging FaceOwner-controlled
https://huggingface.co/fastino/Fastino-Nemotron-3.5-Super-VL-Finance Retrieved 2026-10-28 00:51 UTC
Verified

Versions

2
VersionEffectiveChangeChanged fieldsState
22026-10-18 09:52 UTCmaterial changecapability, availability, deploymentCurrent
12026-10-17 10:49 UTCpublicationNoneCurrent

In briefs

2

Open in the catalog

Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.