🧠
Model

Mimo V2.5 Mlx First224 Moe Gup3 Down2 Attn4 Qhead

by jedisct1 hf-model--jedisct1--mimo-v2.5-mlx-first224-moe-gup3-down2-attn4-qhead
Free2AITools Nexus Index
39.0 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 65
Tech Context
270.92 Params
4.096K Ctx
Vital Performance
0 DL / 30D
0.0%
Audited 39 FNI Score
Massive 270.92B Params
4k Context
0 Downloads
H100+ ~206GB Est. VRAM
Dense MIMOV2FORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID hf-model--jedisct1--mimo-v2.5-mlx-first224-moe-gup3-down2-attn4-qhead
Provider huggingface
💾

Compute Threshold

~205.7GB VRAM

Interactive
Analyze Hardware
â–ŧ

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

📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__jedisct1__mimo_v2.5_mlx_first224_moe_gup3_down2_attn4_qhead,
  author = {jedisct1},
  title = {Mimo V2.5 Mlx First224 Moe Gup3 Down2 Attn4 Qhead Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/jedisct1/MiMo-V2.5-MLX-first224-moe-gup3-down2-attn4-qhead}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
jedisct1. (2026). Mimo V2.5 Mlx First224 Moe Gup3 Down2 Attn4 Qhead [Model]. Free2AITools. https://huggingface.co/jedisct1/MiMo-V2.5-MLX-first224-moe-gup3-down2-attn4-qhead

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download jedisct1/mimo-v2.5-mlx-first224-moe-gup3-down2-attn4-qhead

âš–ī¸ Free2AITools Nexus Index V2.0

Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 100
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Mimo V2.5 Mlx First224 Moe Gup3 Down2 Attn4 Qhead: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:100), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

Technical Deep Dive

âš ī¸ 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 →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--jedisct1--mimo-v2.5-mlx-first224-moe-gup3-down2-attn4-qhead
slug
jedisct1--mimo-v2.5-mlx-first224-moe-gup3-down2-attn4-qhead
source
huggingface
author
jedisct1
license
tags
mlx, safetensors, mimo_v2, text-generation, conversational, en, 3-bit, region:us

âš™ī¸ Technical Specs

architecture
MiMoV2ForCausalLM
params billions
270.92
context length
4,096
pipeline tag
text-generation
vram gb
205.7
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
0
stars
0
forks
null

Data indexed from public sources. Updated daily.