🧠
Red36 Model Stock 12b model by EldritchLabs
⭐ 32
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Model

Red36 Model Stock 12b

by EldritchLabs eldritchlabs/red36-model_stock-12b
Free2AITools Nexus Index
32.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 3
R: Recency 68
Q: Quality 65
Tech Context
12.25 Params
32.768K Ctx
Vital Performance
23 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 32 FNI Score
12.25B Params
32k Context
23 Downloads
24G GPU ~12GB Est. VRAM
Dense MISTRALFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID eldritchlabs/red36-model_stock-12b
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_red36_model_stock_12b,
  author = {EldritchLabs},
  title = {Red36 Model Stock 12b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/EldritchLabs/Red36-Model_Stock-12B}},
  note = {Accessed via Free2AITools.}
}
APA Style
EldritchLabs. (2026). Red36 Model Stock 12b [Model]. Free2AITools. https://huggingface.co/EldritchLabs/Red36-Model_Stock-12B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run red36-model_stock-12b
πŸ€— HF Download
huggingface-cli download eldritchlabs/red36-model_stock-12b
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) 3
Recency (R) 68
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Red36 Model Stock 12b: Authority (A:0), Popularity (P:3), Recency (R:68), 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.

Social Proof

HuggingFace Hub
23Downloads
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--eldritchlabs--red36-model_stock-12b
slug
eldritchlabs--red36-model_stock-12b
source
huggingface
author
EldritchLabs
license
Apache-2.0
tags
transformers, safetensors, mistral, text-generation, model_stock, nemo, merge, mergekit, conversational, en, base_model:aleteian/magnum-opus-galatea-mn-12b, base_model:azazelle/mn-halide-12b-v1.0, base_model:merge:azazelle/mn-halide-12b-v1.0, base_model:eldritchlabs/altair-stock-12b-v1, base_model:merge:eldritchlabs/altair-stock-12b-v1, base_model:eldritchlabs/cactus-dream-horror-12b, base_model:fallenmerick/mn-violet-lotus-12b, base_model:merge:fallenmerick/mn-violet-lotus-12b, base_model:fizza

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
23
stars
0
forks
0

Data indexed from public sources. Updated daily.