🧠
Nemotron 3 Embed 1b Bf16 model by nvidia
⭐ 60.9
🧠
Model

Nemotron 3 Embed 1b Bf16

by nvidia nvidia/nemotron-3-embed-1b-bf16
Free2AITools Nexus Index
60.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 54
P: Popularity 65
R: Recency 98
Q: Quality 65
Tech Context
1.14 Params
4.096K Ctx
Vital Performance
458.6K DL / 30D
Source β†’
Low FNI signal 60.9 FNI Score
Tiny 1.14B Params
4k Context
Hot 458.6K Downloads
8G GPU ~3GB Est. VRAM
Dense MINISTRAL3MODEL Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID nvidia/nemotron-3-embed-1b-bf16
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{nvidia_nemotron_3_embed_1b_bf16,
  author = {nvidia},
  title = {Nemotron 3 Embed 1b Bf16 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/nvidia/Nemotron-3-Embed-1B-BF16}},
  note = {Accessed via Free2AITools.}
}
APA Style
nvidia. (2026). Nemotron 3 Embed 1b Bf16 [Model]. Free2AITools. https://huggingface.co/nvidia/Nemotron-3-Embed-1B-BF16

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run nemotron-3-embed-1b-bf16
πŸ€— HF Download
huggingface-cli download nvidia/nemotron-3-embed-1b-bf16
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) 54
Popularity (P) 65
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Nemotron 3 Embed 1b Bf16: Authority (A:54), Popularity (P:65), Recency (R:98), 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
458.6KDownloads
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--nvidia--nemotron-3-embed-1b-bf16
slug
nvidia--nemotron-3-embed-1b-bf16
source
huggingface
author
nvidia
license
Other
tags
sentence-transformers, safetensors, ministral3, feature-extraction, text, text-embeddings, retrieval, semantic-search, transformers, rag, vllm, sentence-similarity, multilingual, en, ar, as, bn, bg, zh, da, nl, fi, fr, de, hi, id, it, ja, ko, ms, mr, ne, no, fa, pt, ro, ru, es, sw, sv, ta, te, th, uk, ur, vi, arxiv:2407.14679, arxiv:2502.13595, base_model:mistralai/ministral-3-3b-instruct-2512, license:other, endpoints_compatible, deploy:azure, region:us

βš™οΈ Technical Specs

architecture
Ministral3Model
params billions
1.14
context length
4,096
pipeline tag
sentence-similarity
vram gb
2.2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
458,650
stars
null
forks
null

Data indexed from public sources. Updated daily.