🧠
Ctc Blank Only Eos Pad model by S Ryoma
⭐ 39.4
🧠
Model

Ctc Blank Only Eos Pad

by S Ryoma s-ryoma/ctc-blank-only-eos-pad
Free2AITools Nexus Index
39.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 6
R: Recency 85
Q: Quality 65
Tech Context
8.02 Params
4.096K Ctx
Vital Performance
57 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.4 FNI Score
8.02B Params
4k Context
57 Downloads
8G GPU ~8GB Est. VRAM
Dense LLADAMODELLM Architecture
Model Information Summary
Entity Passport
Registry ID s-ryoma/ctc-blank-only-eos-pad
Provider huggingface
πŸ’Ύ

Compute Threshold

~7.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{s_ryoma_ctc_blank_only_eos_pad,
  author = {S Ryoma},
  title = {Ctc Blank Only Eos Pad Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/s-ryoma/ctc-blank-only-eos-pad}},
  note = {Accessed via Free2AITools.}
}
APA Style
S Ryoma. (2026). Ctc Blank Only Eos Pad [Model]. Free2AITools. https://huggingface.co/s-ryoma/ctc-blank-only-eos-pad

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run ctc-blank-only-eos-pad
πŸ€— HF Download
huggingface-cli download s-ryoma/ctc-blank-only-eos-pad
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) 6
Recency (R) 85
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Ctc Blank Only Eos Pad: Authority (A:0), Popularity (P:6), Recency (R:85), 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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Deployment reference

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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
57Downloads
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--s-ryoma--ctc-blank-only-eos-pad
slug
s-ryoma--ctc-blank-only-eos-pad
source
huggingface
author
S Ryoma
license
tags
transformers, safetensors, llada, feature-extraction, custom_code, arxiv:1910.09700, region:us

βš™οΈ Technical Specs

architecture
LLaDAModelLM
params billions
8.02
context length
4,096
pipeline tag
feature-extraction
vram gb
7.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
57
stars
0
forks
0

Data indexed from public sources. Updated daily.