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Tetracta Znext 1b model by tetracta
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Model

Tetracta Znext 1b

by tetracta tetracta/tetracta-znext-1b
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 0
R: Recency 100
Q: Quality 65
Tech Context
1 Params
4.096K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 1B Params
4k Context
0 Downloads
8G GPU ~2GB Est. VRAM
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID tetracta/tetracta-znext-1b
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{tetracta_tetracta_znext_1b,
  author = {tetracta},
  title = {Tetracta Znext 1b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/tetracta/tetracta-znext-1b}},
  note = {Accessed via Free2AITools.}
}
APA Style
tetracta. (2026). Tetracta Znext 1b [Model]. Free2AITools. https://huggingface.co/tetracta/tetracta-znext-1b

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run tetracta-znext-1b
πŸ€— HF Download
huggingface-cli download tetracta/tetracta-znext-1b

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) 0
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Tetracta Znext 1b: Authority (A:29), Popularity (P:0), Recency (R:100), 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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⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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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.
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--tetracta--tetracta-znext-1b
slug
tetracta--tetracta-znext-1b
source
huggingface
author
tetracta
license
Other
tags
z-next, attention-free, kv-cache-free, constant-memory-inference, long-context, research, benchmarks, weights-not-released, text-generation, en, dataset:huggingfacefw/fineweb-edu, dataset:wikimedia/wikipedia, license:other, region:us

βš™οΈ Technical Specs

params billions
1
context length
4,096
pipeline tag
text-generation
vram gb
2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.