🧠
Pile T5 Base model by EleutherAI
⭐ 25.1
🧠
Model

Pile T5 Base

by EleutherAI eleutherai/pile-t5-base
Free2AITools Nexus Index
25.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 48
P: Popularity 9
R: Recency 17
Q: Quality 65
Tech Context
0.25B Params
4.096K Ctx
Vital Performance
108 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 25.1 FNI Score
Tiny 0.25B Params
4k Context
108 Downloads
8G GPU ~2GB Est. VRAM
Dense UMT5FORCONDITIONALGENERATION Architecture
Model Information Summary
Entity Passport
Registry ID eleutherai/pile-t5-base
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eleutherai_pile_t5_base,
  author = {EleutherAI},
  title = {Pile T5 Base Model},
  year = {2024},
  howpublished = {\url{https://huggingface.co/EleutherAI/pile-t5-base}},
  note = {Accessed via Free2AITools.}
}
APA Style
EleutherAI. (2024). Pile T5 Base [Model]. Free2AITools. https://huggingface.co/EleutherAI/pile-t5-base

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run pile-t5-base
πŸ€— HF Download
huggingface-cli download eleutherai/pile-t5-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) 48
Popularity (P) 9
Recency (R) 17
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Pile T5 Base: Authority (A:48), Popularity (P:9), Recency (R:17), 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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⚠️ 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
108Downloads
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--eleutherai--pile-t5-base
slug
eleutherai--pile-t5-base
source
huggingface
author
EleutherAI
tags
transformers, safetensors, umt5, text2text-generation, t5x, encoder-decoder, en, dataset:eleutherai/pile, arxiv:2101.00027, arxiv:2201.07311, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
UMT5ForConditionalGeneration
params billions
0.25
context length
4,096
pipeline tag
text-generation
vram gb
1.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
108
stars
0
forks
0

Data indexed from public sources. Updated daily.