🧠
Mini K3 1h Attn 4mla Rope V2 model by nkkbr
⭐ 39
🧠
Model

Mini K3 1h Attn 4mla Rope V2

by nkkbr nkkbr/mini-k3-1h-attn-4mla-rope-v2
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 31
R: Recency 99
Q: Quality 65
Tech Context
0.98B Params
4.096K Ctx
Vital Performance
1.8K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 0.98B Params
4k Context
1.8K Downloads
8G GPU ~2GB Est. VRAM
Dense MINI_K3 Architecture
Model Information Summary
Entity Passport
Registry ID nkkbr/mini-k3-1h-attn-4mla-rope-v2
Provider huggingface
πŸ’Ύ

Compute Threshold

~2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{nkkbr_mini_k3_1h_attn_4mla_rope_v2,
  author = {nkkbr},
  title = {Mini K3 1h Attn 4mla Rope V2 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/nkkbr/Mini-K3-1H-attn-4mla-rope-v2}},
  note = {Accessed via Free2AITools.}
}
APA Style
nkkbr. (2026). Mini K3 1h Attn 4mla Rope V2 [Model]. Free2AITools. https://huggingface.co/nkkbr/Mini-K3-1H-attn-4mla-rope-v2

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run mini-k3-1h-attn-4mla-rope-v2
πŸ€— HF Download
huggingface-cli download nkkbr/mini-k3-1h-attn-4mla-rope-v2

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) 31
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Mini K3 1h Attn 4mla Rope V2: Authority (A:0), Popularity (P:31), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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
1.8KDownloads
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--nkkbr--mini-k3-1h-attn-4mla-rope-v2
slug
nkkbr--mini-k3-1h-attn-4mla-rope-v2
source
huggingface
author
nkkbr
tags
pytorch, safetensors, mini_k3, kimi-k3, pretraining, mixture-of-experts, linear-attention, architecture-ablation, text-generation, region:us

βš™οΈ Technical Specs

architecture
mini_k3
params billions
0.98
context length
4,096
pipeline tag
text-generation
vram gb
2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,750

Data indexed from public sources. Updated daily.