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Ingot I 27b Q2 model by dendriteholdings
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Model

Ingot I 27b Q2

by dendriteholdings dendriteholdings/ingot-i-27b-q2
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 65
Tech Context
27 Params
4.096K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
27B Params
4k Context
0 Downloads
24G GPU ~22GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID dendriteholdings/ingot-i-27b-q2
Provider huggingface
πŸ’Ύ

Compute Threshold

~21.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{dendriteholdings_ingot_i_27b_q2,
  author = {dendriteholdings},
  title = {Ingot I 27b Q2 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/dendriteholdings/Ingot-I-27B-Q2}},
  note = {Accessed via Free2AITools.}
}
APA Style
dendriteholdings. (2026). Ingot I 27b Q2 [Model]. Free2AITools. https://huggingface.co/dendriteholdings/Ingot-I-27B-Q2

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run ingot-i-27b-q2
πŸ€— HF Download
huggingface-cli download dendriteholdings/ingot-i-27b-q2

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) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Ingot I 27b Q2: Authority (A:0), Popularity (P:0), Recency (R:100), 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.

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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.
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--dendriteholdings--ingot-i-27b-q2
slug
dendriteholdings--ingot-i-27b-q2
source
huggingface
author
dendriteholdings
tags
gguf, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

params billions
27
context length
4,096
vram gb
21.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.