🧠
C2s Scale Gemma 2 27b model by Edward Google
⭐ 39
🧠
Model

C2s Scale Gemma 2 27b

by Edward Google edward-google/c2s-scale-gemma-2-27b
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 80
Q: Quality 65
Tech Context
28.41 Params
8.192K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
28.41B Params
8k Context
0 Downloads
24G GPU ~23GB Est. VRAM
Dense GEMMA2FORCAUSALLM Architecture
Restricted CC License
Model Information Summary
Entity Passport
Registry ID edward-google/c2s-scale-gemma-2-27b
License CC-BY-4.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~22.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{edward_google_c2s_scale_gemma_2_27b,
  author = {Edward Google},
  title = {C2s Scale Gemma 2 27b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/edward-google/C2S-Scale-Gemma-2-27B}},
  note = {Accessed via Free2AITools.}
}
APA Style
Edward Google. (2026). C2s Scale Gemma 2 27b [Model]. Free2AITools. https://huggingface.co/edward-google/C2S-Scale-Gemma-2-27B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run c2s-scale-gemma-2-27b
πŸ€— HF Download
huggingface-cli download edward-google/c2s-scale-gemma-2-27b
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) 80
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for C2s Scale Gemma 2 27b: Authority (A:0), Popularity (P:0), Recency (R:80), 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
---

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.
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--edward-google--c2s-scale-gemma-2-27b
slug
edward-google--c2s-scale-gemma-2-27b
source
huggingface
author
Edward Google
license
CC-BY-4.0
tags
transformers, safetensors, gemma2, text-generation, biology, scrnaseq, genomics, computational-biology, bioinformatics, gene-expression, cell-biology, pytorch, cell-type-annotation, question answering, en, base_model:google/gemma-2-27b, base_model:finetune:google/gemma-2-27b, license:cc-by-4.0, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Gemma2ForCausalLM
params billions
28.41
context length
8,192
pipeline tag
text-generation
vram gb
22.6
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.