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Ornith 1.5 35b A3b 1m model by TizzyT566
⭐ 40.3
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Model

Ornith 1.5 35b A3b 1m

by TizzyT566 tizzyt566/ornith-1.5-35b-a3b-1m
Free2AITools Nexus Index
40.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 9
R: Recency 99
Q: Quality 65
Tech Context
35 Params
4.096K Ctx
Vital Performance
110 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 40.3 FNI Score
35B Params
4k Context
110 Downloads
H100+ ~29GB Est. VRAM
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID tizzyt566/ornith-1.5-35b-a3b-1m
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~28.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{tizzyt566_ornith_1_5_35b_a3b_1m,
  author = {TizzyT566},
  title = {Ornith 1.5 35b A3b 1m Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/TizzyT566/Ornith-1.5-35B-A3B-1M}},
  note = {Accessed via Free2AITools.}
}
APA Style
TizzyT566. (2026). Ornith 1.5 35b A3b 1m [Model]. Free2AITools. https://huggingface.co/TizzyT566/Ornith-1.5-35B-A3B-1M

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run ornith-1.5-35b-a3b-1m
πŸ€— HF Download
huggingface-cli download tizzyt566/ornith-1.5-35b-a3b-1m
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) 9
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Ornith 1.5 35b A3b 1m: Authority (A:0), Popularity (P:9), 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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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
110Downloads
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--tizzyt566--ornith-1.5-35b-a3b-1m
slug
tizzyt566--ornith-1.5-35b-a3b-1m
source
huggingface
author
TizzyT566
license
MIT
tags
transformers, gguf, text-generation, license:mit, endpoints_compatible, region:us, imatrix, conversational

βš™οΈ Technical Specs

params billions
35
context length
4,096
pipeline tag
text-generation
vram gb
28.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
110

Data indexed from public sources. Updated daily.