🧠
Pythia1.4b Full model by mphd1
⭐ 40.8
🧠
Model

Pythia1.4b Full

by mphd1 mphd1/pythia1.4b-full
Free2AITools Nexus Index
40.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 13
R: Recency 99
Q: Quality 65
Tech Context
1.41 Params
2.048K Ctx
Vital Performance
194 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 40.8 FNI Score
Tiny 1.41B Params
2k Context
194 Downloads
8G GPU ~3GB Est. VRAM
Dense GPTNEOXFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID mphd1/pythia1.4b-full
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mphd1_pythia1_4b_full,
  author = {mphd1},
  title = {Pythia1.4b Full Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mphd1/pythia1.4b-full}},
  note = {Accessed via Free2AITools.}
}
APA Style
mphd1. (2026). Pythia1.4b Full [Model]. Free2AITools. https://huggingface.co/mphd1/pythia1.4b-full

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run pythia1.4b-full
πŸ€— HF Download
huggingface-cli download mphd1/pythia1.4b-full
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) 13
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Pythia1.4b Full: Authority (A:0), Popularity (P:13), Recency (R:99), 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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πŸš€ What's Next?

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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.

Social Proof

HuggingFace Hub
194Downloads
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--mphd1--pythia1.4b-full
slug
mphd1--pythia1.4b-full
source
huggingface
author
mphd1
license
Apache-2.0
tags
transformers, safetensors, gpt_neox, text-generation, generated_from_trainer, base_model:eleutherai/pythia-1.4b, base_model:finetune:eleutherai/pythia-1.4b, license:apache-2.0, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
GPTNeoXForCausalLM
params billions
1.41
context length
2,048
pipeline tag
text-generation
vram gb
2.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
194

Data indexed from public sources. Updated daily.