🧠
H2o Lightning 4b Nemotron Nano model by h2oai
⭐ 46.3
🧠
Model

H2o Lightning 4b Nemotron Nano

by h2oai h2oai/h2o-lightning-4b-nemotron-nano
Free2AITools Nexus Index
46.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 26
R: Recency 100
Q: Quality 65
Tech Context
3.97 Params
8.192K Ctx
Vital Performance
1.0K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 46.3 FNI Score
3.97B Params
8k Context
1.0K Downloads
8G GPU ~5GB Est. VRAM
Dense NEMOTRONHFORCAUSALLM Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID h2oai/h2o-lightning-4b-nemotron-nano
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~4.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{h2oai_h2o_lightning_4b_nemotron_nano,
  author = {h2oai},
  title = {H2o Lightning 4b Nemotron Nano Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/h2oai/h2o-lightning-4b-nemotron-nano}},
  note = {Accessed via Free2AITools.}
}
APA Style
h2oai. (2026). H2o Lightning 4b Nemotron Nano [Model]. Free2AITools. https://huggingface.co/h2oai/h2o-lightning-4b-nemotron-nano

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run h2o-lightning-4b-nemotron-nano
πŸ€— HF Download
huggingface-cli download h2oai/h2o-lightning-4b-nemotron-nano
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 39
Popularity (P) 26
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for H2o Lightning 4b Nemotron Nano: Authority (A:39), Popularity (P:26), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub
1.0KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--h2oai--h2o-lightning-4b-nemotron-nano
slug
h2oai--h2o-lightning-4b-nemotron-nano
source
huggingface
author
h2oai
license
Other
tags
transformers, safetensors, nemotron_h, text-generation, decision-making, calibration, jevbench, nemotron, conversational, custom_code, base_model:nvidia/nvidia-nemotron-3-nano-4b-bf16, license:other, endpoints_compatible, region:us, jev, typed-decisions, decision-model

βš™οΈ Technical Specs

architecture
NemotronHForCausalLM
params billions
3.97
context length
8,192
pipeline tag
text-generation
vram gb
4.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,019

Data indexed from public sources. Updated daily.