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Granite 4.1 3b Nvfp4 model by Mlx Community
⭐ 39
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Model

Granite 4.1 3b Nvfp4

by Mlx Community mlx-community/granite-4.1-3b-nvfp4
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 82
Q: Quality 65
Tech Context
0.85B Params
4.096K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 0.85B Params
4k Context
0 Downloads
8G GPU ~2GB Est. VRAM
Dense GRANITEFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID mlx-community/granite-4.1-3b-nvfp4
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mlx_community_granite_4_1_3b_nvfp4,
  author = {Mlx Community},
  title = {Granite 4.1 3b Nvfp4 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mlx-community/granite-4.1-3b-nvfp4}},
  note = {Accessed via Free2AITools.}
}
APA Style
Mlx Community. (2026). Granite 4.1 3b Nvfp4 [Model]. Free2AITools. https://huggingface.co/mlx-community/granite-4.1-3b-nvfp4

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run granite-4.1-3b-nvfp4
πŸ€— HF Download
huggingface-cli download mlx-community/granite-4.1-3b-nvfp4

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 82
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Granite 4.1 3b Nvfp4: Authority (A:0), Popularity (P:0), Recency (R:82), 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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⚠️ 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.
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--mlx-community--granite-4.1-3b-nvfp4
slug
mlx-community--granite-4.1-3b-nvfp4
source
huggingface
author
Mlx Community
license
Apache-2.0
tags
mlx, safetensors, granite, language, granite-4.1, text-generation, conversational, base_model:ibm-granite/granite-4.1-3b, base_model:quantized:ibm-granite/granite-4.1-3b, license:apache-2.0, 4-bit, region:us

βš™οΈ Technical Specs

architecture
GraniteForCausalLM
params billions
0.85
context length
4,096
pipeline tag
text-generation
vram gb
1.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0
stars
null
forks
null

Data indexed from public sources. Updated daily.