🧠
Minimax M3 model by MiniMaxAI
⭐ 56.9
🧠
Model

Minimax M3

by MiniMaxAI minimaxai/minimax-m3
Free2AITools Nexus Index
56.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 58
P: Popularity 61
R: Recency 99
Q: Quality 65
Tech Context
427.04 Params
32.768K Ctx
Vital Performance
188.3K DL / 30D
Source β†’
Low FNI signal 56.9 FNI Score
Massive 427.04B Params
32k Context
Hot 188.3K Downloads
H100+ ~326GB Est. VRAM
Dense MINIMAXM3SPARSEFORCONDITIONALGENERATION Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID minimaxai/minimax-m3
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~325.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization. [Multi-GPU / Unified Memory Required]

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{minimaxai_minimax_m3,
  author = {MiniMaxAI},
  title = {Minimax M3 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/MiniMaxAI/MiniMax-M3}},
  note = {Accessed via Free2AITools.}
}
APA Style
MiniMaxAI. (2026). Minimax M3 [Model]. Free2AITools. https://huggingface.co/MiniMaxAI/MiniMax-M3

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download minimaxai/minimax-m3
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) 58
Popularity (P) 61
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Minimax M3: Authority (A:58), Popularity (P:61), Recency (R:99), 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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Deployment reference

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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
188.3KDownloads
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--minimaxai--minimax-m3
slug
minimaxai--minimax-m3
source
huggingface
author
MiniMaxAI
license
Other
tags
transformers, safetensors, minimax_m3_vl, image-text-to-text, multimodal, moe, agent, coding, video, conversational, custom_code, arxiv:2606.13392, license:other, endpoints_compatible, region:us, eval-results

βš™οΈ Technical Specs

architecture
MiniMaxM3SparseForConditionalGeneration
params billions
427.04
context length
32,768
pipeline tag
image-text-to-text
vram gb
325.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 5GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
188,314
stars
null
forks
null

Data indexed from public sources. Updated daily.