🧠
Kai Os.carnice 27b Gguf model by DevQuasar
⭐ 36.3
🧠
Model

Kai Os.carnice 27b Gguf

by DevQuasar devquasar/kai-os.carnice-27b-gguf
Free2AITools Nexus Index
36.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 6
R: Recency 76
Q: Quality 50
Tech Context
27 Params
4.096K Ctx
Vital Performance
60 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 36.3 FNI Score
27B Params
4k Context
60 Downloads
24G GPU ~22GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID devquasar/kai-os.carnice-27b-gguf
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{devquasar_kai_os_carnice_27b_gguf,
  author = {DevQuasar},
  title = {Kai Os.carnice 27b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/DevQuasar/kai-os.Carnice-27b-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
DevQuasar. (2026). Kai Os.carnice 27b Gguf [Model]. Free2AITools. https://huggingface.co/DevQuasar/kai-os.Carnice-27b-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run kai-os.carnice-27b-gguf
πŸ€— HF Download
huggingface-cli download devquasar/kai-os.carnice-27b-gguf

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) 6
Recency (R) 76
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Kai Os.carnice 27b Gguf: Authority (A:0), Popularity (P:6), Recency (R:76), Quality (Q:50). 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
60Downloads
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--devquasar--kai-os.carnice-27b-gguf
slug
devquasar--kai-os.carnice-27b-gguf
source
huggingface
author
DevQuasar
tags
gguf, text-generation, base_model:kai-os/carnice-27b, base_model:quantized:kai-os/carnice-27b, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

params billions
27
context length
4,096
pipeline tag
text-generation
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
60
stars
0
forks
0

Data indexed from public sources. Updated daily.