What are the hardware requirements for Fastino Nemotron 3.5 Lightning Finance?

Fastino Nemotron 3.5 Lightning Finance requires approximately 65.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Fastino Nemotron 3.5 Lightning Finance and how large is it?

Fastino Nemotron 3.5 Lightning Finance is developed by fastino, a model with 31.6b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Fastino Nemotron 3.5 Lightning Finance?

Fastino Nemotron 3.5 Lightning Finance is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Fastino Nemotron 3.5 Lightning Finance by fastino — VRAM 65.9GB, 256K context

Name: Fastino Nemotron 3.5 Lightning Finance
Author: fastino

Fastino Nemotron 3.5 Lightning Finance is an open-source language model by fastino. Features: 31.6b LLM, VRAM: 65.9GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.34.

Arxiv:2604.09791 Conversational Custom code En Endpoints compatible Finance Financial-reasoning Finetuned Information-extraction Instruct Lightning Mixture-of-experts Nemotron Nemotron h Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/fastino/Fastino-Nemotron-3.5-Lightning-Finance

Fastino Nemotron 3.5 Lightning Finance Parameters and Internals

LLM Name	Fastino Nemotron 3.5 Lightning Finance
Repository 🤗	https://huggingface.co/fastino/Fastino-Nemotron-3.5-Lightning-Finance
Base Model(s)	nvidia/Nemotron-3.5-Lightning nvidia/Nemotron-3.5-Lightning
Model Size	31.6b
Required VRAM	65.9 GB
Updated	2026-08-13
Maintainer	fastino
Model Type	nemotron_h
Model Files	5.0 GB: 1-of-14 5.0 GB: 2-of-14 5.0 GB: 3-of-14 5.0 GB: 4-of-14 5.0 GB: 5-of-14 5.0 GB: 6-of-14 5.0 GB: 7-of-14 5.0 GB: 8-of-14 5.0 GB: 9-of-14 5.0 GB: 10-of-14 5.0 GB: 11-of-14 5.0 GB: 12-of-14 3.2 GB: 13-of-14 2.7 GB: 14-of-14
Supported Languages	en
Model Architecture	NemotronHForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|im_end\|>
Vocabulary Size	131072

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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