🧠
Mn Helcyon Mercury 12b V3.0 Gguf model by XeyonAI
⭐ 53.9
🧠
Model

Mn Helcyon Mercury 12b V3.0 Gguf

by XeyonAI xeyonai/mn-helcyon-mercury-12b-v3.0-gguf
Free2AITools Nexus Index
53.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 51
P: Popularity 20
R: Recency 94
Q: Quality 65
Tech Context
12 Params
4.096K Ctx
Vital Performance
515 DL / 30D
Source β†’
Low FNI signal 53.9 FNI Score
12B Params
4k Context
515 Downloads
24G GPU ~11GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID xeyonai/mn-helcyon-mercury-12b-v3.0-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~10.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{xeyonai_mn_helcyon_mercury_12b_v3_0_gguf,
  author = {XeyonAI},
  title = {Mn Helcyon Mercury 12b V3.0 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/XeyonAI/MN-Helcyon-Mercury-12b-v3.0-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
XeyonAI. (2026). Mn Helcyon Mercury 12b V3.0 Gguf [Model]. Free2AITools. https://huggingface.co/XeyonAI/MN-Helcyon-Mercury-12b-v3.0-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run mn-helcyon-mercury-12b-v3.0-gguf
πŸ€— HF Download
huggingface-cli download xeyonai/mn-helcyon-mercury-12b-v3.0-gguf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 51
Popularity (P) 20
Recency (R) 94
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Mn Helcyon Mercury 12b V3.0 Gguf: Authority (A:51), Popularity (P:20), Recency (R:94), 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
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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
515Downloads
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--xeyonai--mn-helcyon-mercury-12b-v3.0-gguf
slug
xeyonai--mn-helcyon-mercury-12b-v3.0-gguf
source
huggingface
author
XeyonAI
license
Apache-2.0
tags
gguf, companion, assistant, conversational, roleplay, adventure, writing, long-context, en, base_model:mistralai/mistral-nemo-instruct-2407, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
null
params billions
12
context length
4,096
pipeline tag
vram gb
10.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
515
stars
null
forks
null

Data indexed from public sources. Updated daily.