🧠
Ceno 80m Base model by CladeTeam
⭐ 40.6
🧠
Model

Ceno 80m Base

by CladeTeam cladeteam/ceno-80m-base
Free2AITools Nexus Index
40.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 11
R: Recency 100
Q: Quality 65
Tech Context
0.08B Params
4.096K Ctx
Vital Performance
146 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 40.6 FNI Score
Tiny 0.08B Params
4k Context
146 Downloads
8G GPU ~2GB Est. VRAM
Dense CENOFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID cladeteam/ceno-80m-base
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{cladeteam_ceno_80m_base,
  author = {CladeTeam},
  title = {Ceno 80m Base Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/CladeTeam/CENO-80M-base}},
  note = {Accessed via Free2AITools.}
}
APA Style
CladeTeam. (2026). Ceno 80m Base [Model]. Free2AITools. https://huggingface.co/CladeTeam/CENO-80M-base

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run ceno-80m-base
πŸ€— HF Download
huggingface-cli download cladeteam/ceno-80m-base
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) 11
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Ceno 80m Base: Authority (A:0), Popularity (P:11), 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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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
146Downloads
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--cladeteam--ceno-80m-base
slug
cladeteam--ceno-80m-base
source
huggingface
author
CladeTeam
license
Apache-2.0
tags
transformers, safetensors, ceno, text-generation, dna, genomics, dna-language-model, mamba, moe, custom_code, license:apache-2.0, region:us

βš™οΈ Technical Specs

architecture
CENOForCausalLM
params billions
0.08
context length
4,096
pipeline tag
text-generation
vram gb
1.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
146

Data indexed from public sources. Updated daily.