🧠
Pythia 160m model by EleutherAI
⭐ 35.5
🧠
Model

Pythia 160m

by EleutherAI eleutherai/pythia-160m
Free2AITools Nexus Index
35.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 51
P: Popularity 73
R: Recency 10
Q: Quality 65
Tech Context
0.21B Params
2.048K Ctx
Vital Performance
3.5M DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 35.5 FNI Score
Tiny 0.21B Params
2k Context
Hot 3.5M Downloads
8G GPU ~2GB Est. VRAM
Dense GPTNEOXFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID eleutherai/pythia-160m
License Apache-2.0
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_pythia_160m,
  author = {EleutherAI},
  title = {Pythia 160m Model},
  year = {2023},
  howpublished = {\url{https://huggingface.co/EleutherAI/pythia-160m}},
  note = {Accessed via Free2AITools.}
}
APA Style
EleutherAI. (2023). Pythia 160m [Model]. Free2AITools. https://huggingface.co/EleutherAI/pythia-160m

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run pythia-160m
πŸ€— HF Download
huggingface-cli download eleutherai/pythia-160m
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) 51
Popularity (P) 73
Recency (R) 10
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Pythia 160m: Authority (A:51), Popularity (P:73), Recency (R:10), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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
3.5MDownloads
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--pythia-160m
slug
eleutherai--pythia-160m
source
huggingface
author
EleutherAI
license
Apache-2.0
tags
gpt, 0.1B, text-generation, transformers, pytorch, safetensors, gpt_neox, causal-lm, pythia, en, dataset:eleutherai/pile, arxiv:2304.01373, arxiv:2101.00027, arxiv:2201.07311, license:apache-2.0, text-generation-inference, endpoints_compatible, deploy:azure, region:us

βš™οΈ Technical Specs

architecture
GPTNeoXForCausalLM
params billions
0.21
context length
2,048
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
3,536,693
stars
0
forks
0

Data indexed from public sources. Updated daily.