🧠
Toriigate 0.5 Gguf model by DraconicDragon
⭐ 39.8
🧠
Model

Toriigate 0.5 Gguf

by DraconicDragon hf-model--draconicdragon--toriigate-0.5-gguf
Nexus Index
39.8 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 32
R: Recency 97
Q: Quality 50
Tech Context
Vital Performance
2.0K DL / 30D
0.0%
Source →
Audited 39.8 FNI Score
Tiny - Params
- Context
2.0K Downloads
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID hf-model--draconicdragon--toriigate-0.5-gguf
License MIT
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__draconicdragon__toriigate_0.5_gguf,
  author = {DraconicDragon},
  title = {Toriigate 0.5 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/draconicdragon/toriigate-0.5-gguf}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
DraconicDragon. (2026). Toriigate 0.5 Gguf [Model]. Free2AITools. https://huggingface.co/draconicdragon/toriigate-0.5-gguf

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download draconicdragon/toriigate-0.5-gguf

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
39.8
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 32
Recency (R) 97
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Toriigate 0.5 Gguf: Semantic (S:50), Authority (A:0), Popularity (P:32), Recency (R:97), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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Deployment Guide

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Technical Deep Dive

generic llama.cpp quants of Minthy/ToriiGate-0.5 | Using llama.cpp release b8720

You can find imatrix, Q4_K_L and Q6_K_L quants (--token-embedding-type & --output-tensor-type are in Q8_0) here:
- https://huggingface.co/SleepVeryHard/ToriiGate-0.5_GGUF

The README mentions that --reasoning off/-rea off should be added as llama.cpp cli arg to workaround an issue where the actual output is just in the reasoning part - I found that to be the case too and disabling reasoning helped.

Original model + more info like prompts/formats, examples, stats:
- https://huggingface.co/Minthy/ToriiGate-0.5

Tested the Q4KM variant with Q8 vision encoder:

image

⚠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.

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📝 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
2.0KDownloads
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--draconicdragon--toriigate-0.5-gguf
slug
draconicdragon--toriigate-0.5-gguf
source
huggingface
author
DraconicDragon
license
MIT
tags
gguf, multimodal, vision, image-text-to-text, en, base_model:minthy/toriigate-0.5, base_model:quantized:minthy/toriigate-0.5, license:mit, endpoints_compatible, region:us, conversational

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
image-text-to-text

📊 Engagement & Metrics

downloads
1,994
stars
0
forks
null

Data indexed from public sources. Updated daily.