🧠
Pythia 1.4b model by EleutherAI
⭐ 35.5
🧠
Model

Pythia 1.4b

by EleutherAI eleutherai/pythia-1.4b
Free2AITools Nexus Index
35.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 30
Tech Context
1.4 Params
4.096K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 35.5 FNI Score
Tiny 1.4B Params
4k Context
0 Downloads
8G GPU ~3GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID eleutherai/pythia-1.4b
Shape L24 D2048
Provider huggingface_deepspec
πŸ’Ύ

Compute Threshold

~2.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eleutherai_pythia_1_4b,
  author = {EleutherAI},
  title = {Pythia 1.4b Model},
  howpublished = {\url{https://huggingface.co/EleutherAI/pythia-1.4b}},
  note = {Accessed via Free2AITools.}
}
APA Style
EleutherAI. Pythia 1.4b [Model]. Free2AITools. https://huggingface.co/EleutherAI/pythia-1.4b

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run pythia-1.4b
πŸ€— HF Download
huggingface-cli download eleutherai/pythia-1.4b

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) 100
Quality (Q) 30

πŸ’¬ Index Insight

FNI V2.0 for Pythia 1.4b: Authority (A:0), Popularity (P:0), Recency (R:100), Quality (Q:30). 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

pythia-1.4b: 1.3B parameters, 2048 context length, gpt architecture.

⚠️ 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.
πŸ“¦Data Source: huggingface_deepspec
πŸ”„ Updated daily

Source summary: Based on huggingface_deepspec 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--pythia-1.4b
slug
eleutherai--pythia-1.4b
source
huggingface_deepspec
author
EleutherAI
tags
gpt, 1.3B, text-generation

βš™οΈ Technical Specs

params billions
1.4
context length
4,096
vram gb
2.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.