🧠
Qwen3.6 Queen 27b Gguf model by aifeifei798
⭐ 37.7
🧠
Model

Qwen3.6 Queen 27b Gguf

by aifeifei798 hf-model--aifeifei798--qwen3.6-queen-27b-gguf
Nexus Index
37.7 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 5
R: Recency 99
Q: Quality 50
Tech Context
27 Params
4.096K Ctx
Vital Performance
51 DL / 30D
0.0%
Source →
Audited 37.7 FNI Score
27B Params
4k Context
51 Downloads
24G GPU ~22GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--aifeifei798--qwen3.6-queen-27b-gguf
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~21.6GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__aifeifei798__qwen3.6_queen_27b_gguf,
  author = {aifeifei798},
  title = {Qwen3.6 Queen 27b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/aifeifei798/qwen3.6-queen-27b-gguf}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
aifeifei798. (2026). Qwen3.6 Queen 27b Gguf [Model]. Free2AITools. https://huggingface.co/aifeifei798/qwen3.6-queen-27b-gguf

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run qwen3.6-queen-27b-gguf
🤗 HF Download
huggingface-cli download aifeifei798/qwen3.6-queen-27b-gguf
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
37.7
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 5
Recency (R) 99
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3.6 Queen 27b Gguf: Semantic (S:50), Authority (A:0), Popularity (P:5), Recency (R:99), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

📊

Find Training Datasets

Discover datasets compatible with this model

📈

Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

⚠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.

Social Proof

HuggingFace Hub
51Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--aifeifei798--qwen3.6-queen-27b-gguf
slug
aifeifei798--qwen3.6-queen-27b-gguf
source
huggingface
author
aifeifei798
license
Apache-2.0
tags
transformers, gguf, roleplay, qwen, qwen3.6, sillytavern, idol, pytorch, darkidol, queen, image-text-to-text, openclaw, base_model:aifeifei798/qwen3.6-queen-27b, license:apache-2.0, endpoints_compatible, region:us, conversational

⚙ī¸ Technical Specs

architecture
null
params billions
27
context length
4,096
pipeline tag
image-text-to-text
vram gb
21.6
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
51
stars
0
forks
0

Data indexed from public sources. Updated daily.