🧠
Atom 27b I1 Gguf model by mradermacher
⭐ 33.3
🧠
Model

Atom 27b I1 Gguf

by mradermacher mradermacher/atom-27b-i1-gguf
Free2AITools Nexus Index
33.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 40
R: Recency 66
Q: Quality 50
Tech Context
27 Params
4.096K Ctx
Vital Performance
5.5K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 33.3 FNI Score
27B Params
4k Context
5.5K Downloads
24G GPU ~22GB Est. VRAM
Restricted GEMMA License
Model Information Summary
Entity Passport
Registry ID mradermacher/atom-27b-i1-gguf
License Gemma
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{mradermacher_atom_27b_i1_gguf,
  author = {mradermacher},
  title = {Atom 27b I1 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mradermacher/atom-27b-i1-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
mradermacher. (2026). Atom 27b I1 Gguf [Model]. Free2AITools. https://huggingface.co/mradermacher/atom-27b-i1-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run atom-27b-i1-gguf
πŸ€— HF Download
huggingface-cli download mradermacher/atom-27b-i1-gguf
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) 29
Popularity (P) 40
Recency (R) 66
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Atom 27b I1 Gguf: Authority (A:29), Popularity (P:40), Recency (R:66), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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
5.5KDownloads
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--mradermacher--atom-27b-i1-gguf
slug
mradermacher--atom-27b-i1-gguf
source
huggingface
author
mradermacher
license
Gemma
tags
transformers, gguf, conversational, conversational-ai, vanta-research, collaborative-ai, large-language-model, chat, roleplay, reasoning, google, gemma3, gemma, project-atom, llm, language-model, text-generation, text-generation-inference, ai-research, ai-alignment-research, ai-alignment, ai-behavior, ai-behavior-research, ai-persona-research, human-ai-collaboration, en, base_model:vanta-research/atom-27b, base_model:quantized:vanta-research/atom-27b, license:gemma, endpoints_compatible, region:

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
5,533
stars
0
forks
0

Data indexed from public sources. Updated daily.