🧠
Model

Nvidia Nemotron Labs 3 Puzzle 75b A9b Nvfp4

by nvidia nvidia/nvidia-nemotron-labs-3-puzzle-75b-a9b-nvfp4
Free2AITools Nexus Index
60.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 54
P: Popularity 65
R: Recency 93
Q: Quality 65
Tech Context
44.54 Params
8.192K Ctx
Vital Performance
431.5K DL / 30D

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 60 FNI Score
44.54B Params
8k Context
Hot 431.5K Downloads
H100+ ~36GB Est. VRAM
Dense NEMOTRONHPUZZLEFORCAUSALLM Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID nvidia/nvidia-nemotron-labs-3-puzzle-75b-a9b-nvfp4
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~35.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{nvidia_nvidia_nemotron_labs_3_puzzle_75b_a9b_nvfp4,
  author = {nvidia},
  title = {Nvidia Nemotron Labs 3 Puzzle 75b A9b Nvfp4 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-NVFP4}},
  note = {Accessed via Free2AITools.}
}
APA Style
nvidia. (2026). Nvidia Nemotron Labs 3 Puzzle 75b A9b Nvfp4 [Model]. Free2AITools. https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-NVFP4

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run nvidia-nemotron-labs-3-puzzle-75b-a9b-nvfp4
πŸ€— HF Download
huggingface-cli download nvidia/nvidia-nemotron-labs-3-puzzle-75b-a9b-nvfp4
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 54
Popularity (P) 65
Recency (R) 93
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Nvidia Nemotron Labs 3 Puzzle 75b A9b Nvfp4: Authority (A:54), Popularity (P:65), Recency (R:93), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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
431.5KDownloads
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--nvidia-nemotron-labs-3-puzzle-75b-a9b-nvfp4
slug
nvidia--nvidia-nemotron-labs-3-puzzle-75b-a9b-nvfp4
source
huggingface
author
nvidia
license
Other
tags
nemotron_h_puzzle, text-generation, transformers, safetensors, nvidia, pytorch, nemotron-3, latent-moe, mtp, conversational, custom_code, en, fr, es, it, de, ja, zh, dataset:nvidia/nemotron-post-training-v3, dataset:nvidia/nemotron-pre-training-datasets, arxiv:2607.04371, arxiv:2411.19146, arxiv:2604.12374, arxiv:2512.20848, license:other, 8-bit, modelopt, region:us

βš™οΈ Technical Specs

architecture
NemotronHPuzzleForCausalLM
params billions
44.54
context length
8,192
pipeline tag
text-generation
vram gb
35.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
431,496
stars
null
forks
null

Data indexed from public sources. Updated daily.