🧠
Ternary Bonsai 4b Gguf model by Prism Ml
⭐ 55.6
🧠
Model

Ternary Bonsai 4b Gguf

by Prism Ml prism-ml/ternary-bonsai-4b-gguf
Free2AITools Nexus Index
55.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 47
P: Popularity 32
R: Recency 100
Q: Quality 65
Tech Context
4 Params
4.096K Ctx
Vital Performance
2.0K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 55.6 FNI Score
4B Params
4k Context
2.0K Downloads
8G GPU ~5GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID prism-ml/ternary-bonsai-4b-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~4.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{prism_ml_ternary_bonsai_4b_gguf,
  author = {Prism Ml},
  title = {Ternary Bonsai 4b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/prism-ml/Ternary-Bonsai-4B-gguf}},
  note = {Accessed via Free2AITools.}
}
APA Style
Prism Ml. (2026). Ternary Bonsai 4b Gguf [Model]. Free2AITools. https://huggingface.co/prism-ml/Ternary-Bonsai-4B-gguf

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run ternary-bonsai-4b-gguf
πŸ€— HF Download
huggingface-cli download prism-ml/ternary-bonsai-4b-gguf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 47
Popularity (P) 32
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Ternary Bonsai 4b Gguf: Authority (A:47), Popularity (P:32), 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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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
2.0KDownloads
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--prism-ml--ternary-bonsai-4b-gguf
slug
prism-ml--ternary-bonsai-4b-gguf
source
huggingface
author
Prism Ml
license
Apache-2.0
tags
gguf, ternary, 1.58-bit, llama-cpp, q2_0, on-device, prismml, bonsai, text-generation, base_model:prism-ml/ternary-bonsai-4b-unpacked, license:apache-2.0, eval-results, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

architecture
null
params billions
4
context length
4,096
pipeline tag
text-generation
vram gb
4.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
2,005
stars
null
forks
null

Data indexed from public sources. Updated daily.