🧠
160m Exp model by 294 288 Pretrain Interaction
⭐ 37.6
🧠
Model

160m Exp

by 294 288 Pretrain Interaction 294-288-pretrain-interaction/160m-exp
Free2AITools Nexus Index
37.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 3
R: Recency 100
Q: Quality 50
Tech Context
2.048K Ctx
Vital Performance
24 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 37.6 FNI Score
Tiny - Params
2k Context
24 Downloads
Dense GPTNEOXFORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID 294-288-pretrain-interaction/160m-exp
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{294_288_pretrain_interaction_160m_exp,
  author = {294 288 Pretrain Interaction},
  title = {160m Exp Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/294-288-pretrain-interaction/160M-exp}},
  note = {Accessed via Free2AITools.}
}
APA Style
294 288 Pretrain Interaction. (2026). 160m Exp [Model]. Free2AITools. https://huggingface.co/294-288-pretrain-interaction/160M-exp

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download 294-288-pretrain-interaction/160m-exp

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 3
Recency (R) 100
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for 160m Exp: Authority (A:29), Popularity (P:3), Recency (R:100), 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
---

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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
24Downloads
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--294-288-pretrain-interaction--160m-exp
slug
294-288-pretrain-interaction--160m-exp
source
huggingface
author
294 288 Pretrain Interaction
tags
safetensors, gpt_neox, text-generation, gpt-neox, base_model:eleutherai/pythia-160m, base_model:finetune:eleutherai/pythia-160m, region:us

βš™οΈ Technical Specs

architecture
GPTNeoXForCausalLM
context length
2,048
pipeline tag
text-generation

πŸ“Š Engagement & Metrics

downloads
24

Data indexed from public sources. Updated daily.