🧠
Mimo V2.5 model by XiaomiMiMo
⭐ 61.9
🧠
Model

Mimo V2.5

by XiaomiMiMo xiaomimimo/mimo-v2.5
Free2AITools Nexus Index
61.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 56
P: Popularity 62
R: Recency 97
Q: Quality 65
Tech Context
310.78 Params
4.096K Ctx
Vital Performance
255.8K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 61.9 FNI Score
Massive 310.78B Params
4k Context
Hot 255.8K Downloads
H100+ ~236GB Est. VRAM
Dense MIMOV2FORCAUSALLM Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID xiaomimimo/mimo-v2.5
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~235.6GB 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{xiaomimimo_mimo_v2_5,
  author = {XiaomiMiMo},
  title = {Mimo V2.5 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/XiaomiMiMo/MiMo-V2.5}},
  note = {Accessed via Free2AITools.}
}
APA Style
XiaomiMiMo. (2026). Mimo V2.5 [Model]. Free2AITools. https://huggingface.co/XiaomiMiMo/MiMo-V2.5

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download xiaomimimo/mimo-v2.5
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) 56
Popularity (P) 62
Recency (R) 97
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Mimo V2.5: Authority (A:56), Popularity (P:62), Recency (R:97), 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
255.8KDownloads
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--xiaomimimo--mimo-v2.5
slug
xiaomimimo--mimo-v2.5
source
huggingface
author
XiaomiMiMo
license
MIT
tags
mimo_v2, 10.3B, text-generation, transformers, safetensors, multimodal, vision-language, audio, agent, video-understanding, long-context, conversational, custom_code, en, zh, license:mit, eval-results, fp8, region:us

βš™οΈ Technical Specs

architecture
MiMoV2ForCausalLM
params billions
310.78
context length
4,096
pipeline tag
text-generation
vram gb
235.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
255,837
stars
null
forks
null

Data indexed from public sources. Updated daily.