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Keural Moe Pro V1.0 Gguf model by mradermacher
⭐ 40.1
🧠
Model

Keural Moe Pro V1.0 Gguf

by mradermacher mradermacher/keural-moe-pro-v1.0-gguf
Free2AITools Nexus Index
40.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 17
R: Recency 95
Q: Quality 50
Tech Context
Vital Performance
351 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 40.1 FNI Score
Tiny - Params
- Context
351 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID mradermacher/keural-moe-pro-v1.0-gguf
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mradermacher_keural_moe_pro_v1_0_gguf,
  author = {mradermacher},
  title = {Keural Moe Pro V1.0 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.0-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
mradermacher. (2026). Keural Moe Pro V1.0 Gguf [Model]. Free2AITools. https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.0-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download mradermacher/keural-moe-pro-v1.0-gguf
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) 0
Popularity (P) 17
Recency (R) 95
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Keural Moe Pro V1.0 Gguf: Authority (A:0), Popularity (P:17), Recency (R:95), Quality (Q:50). 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.

Social Proof

HuggingFace Hub
351Downloads
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--mradermacher--keural-moe-pro-v1.0-gguf
slug
mradermacher--keural-moe-pro-v1.0-gguf
source
huggingface
author
mradermacher
license
Apache-2.0
tags
transformers, gguf, korean, moe, lora, instruction-tuning, keural, ko, en, base_model:mkd-ai/keural-nova-1.0, base_model:adapter:mkd-ai/keural-nova-1.0, license:apache-2.0, endpoints_compatible, region:us, conversational

πŸ“Š Engagement & Metrics

downloads
351

Data indexed from public sources. Updated daily.