🧠
T5 Base Q4 K M Gguf model by egrhfnfdg
⭐ 27.9
🧠
Model

T5 Base Q4 K M Gguf

by egrhfnfdg egrhfnfdg/t5-base-q4_k_m-gguf
Free2AITools Nexus Index
27.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 1
R: Recency 31
Q: Quality 50
Tech Context
5 Params
4.096K Ctx
Vital Performance
11 DL / 30D
Source β†’

Task categories from upstream metadata

✨Translation

Technical Constraints

Experimental / High Latency
Low FNI signal 27.9 FNI Score
5B Params
4k Context
11 Downloads
8G GPU ~5GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID egrhfnfdg/t5-base-q4_k_m-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{egrhfnfdg_t5_base_q4_k_m_gguf,
  author = {egrhfnfdg},
  title = {T5 Base Q4 K M Gguf Model},
  year = {2025},
  howpublished = {\url{https://huggingface.co/egrhfnfdg/t5-base-Q4_K_M-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
egrhfnfdg. (2025). T5 Base Q4 K M Gguf [Model]. Free2AITools. https://huggingface.co/egrhfnfdg/t5-base-Q4_K_M-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run t5-base-q4_k_m-gguf
πŸ€— HF Download
huggingface-cli download egrhfnfdg/t5-base-q4_k_m-gguf

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) 1
Recency (R) 31
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for T5 Base Q4 K M Gguf: Authority (A:0), Popularity (P:1), Recency (R:31), 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
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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
11Downloads
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--egrhfnfdg--t5-base-q4_k_m-gguf
slug
egrhfnfdg--t5-base-q4_k_m-gguf
source
huggingface
author
egrhfnfdg
license
Apache-2.0
tags
gguf, summarization, translation, llama-cpp, gguf-my-repo, en, fr, ro, de, dataset:c4, base_model:google-t5/t5-base, base_model:quantized:google-t5/t5-base, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

params billions
5
context length
4,096
pipeline tag
translation
vram gb
5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
11

Data indexed from public sources. Updated daily.