🧠
Magmalion Twilight 12b V1 model by EldritchLabs
⭐ 31.3
🧠
Model

Magmalion Twilight 12b V1

by EldritchLabs eldritchlabs/magmalion-twilight-12b-v1
Free2AITools Nexus Index
31.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 71
Q: Quality 65
Tech Context
12.25 Params
32.768K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 31.3 FNI Score
12.25B Params
32k Context
0 Downloads
24G GPU ~12GB Est. VRAM
Dense MISTRALFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID eldritchlabs/magmalion-twilight-12b-v1
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~11.7GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eldritchlabs_magmalion_twilight_12b_v1,
  author = {EldritchLabs},
  title = {Magmalion Twilight 12b V1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/EldritchLabs/MagMalion-Twilight-12B-v1}},
  note = {Accessed via Free2AITools.}
}
APA Style
EldritchLabs. (2026). Magmalion Twilight 12b V1 [Model]. Free2AITools. https://huggingface.co/EldritchLabs/MagMalion-Twilight-12B-v1

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run magmalion-twilight-12b-v1
πŸ€— HF Download
huggingface-cli download eldritchlabs/magmalion-twilight-12b-v1
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) 0
Recency (R) 71
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Magmalion Twilight 12b V1: Authority (A:0), Popularity (P:0), Recency (R:71), 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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⚠️ 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.
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--eldritchlabs--magmalion-twilight-12b-v1
slug
eldritchlabs--magmalion-twilight-12b-v1
source
huggingface
author
EldritchLabs
license
Apache-2.0
tags
transformers, safetensors, mistral, text-generation, creative, creative writing, fiction writing, plot generation, sub-plot generation, story generation, scene continue, storytelling, fiction story, science fiction, romance, all genres, story, writing, vivid prosing, vivid writing, fiction, roleplaying, float32, swearing, rp, horror, della, nemo, merge, mergekit, conversational, en, arxiv:2406.11617, base_model:chaoticneutrals/mag-mell-reasoner-12b, base_model:epiculous/azure_dusk-v0.2, base_mod

βš™οΈ Technical Specs

architecture
MistralForCausalLM
params billions
12.25
context length
32,768
pipeline tag
text-generation
vram gb
11.7
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.