🧠
Ornstein3.6 35b A3b Gguf model by GestaltLabs
⭐ 55.2
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Model

Ornstein3.6 35b A3b Gguf

by GestaltLabs gestaltlabs/ornstein3.6-35b-a3b-gguf
Free2AITools Nexus Index
55.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 51
P: Popularity 29
R: Recency 94
Q: Quality 65
Tech Context
35 Params
32.768K Ctx
Vital Performance
1.4K DL / 30D
Source β†’
Low FNI signal 55.2 FNI Score
35B Params
32k Context
1.4K Downloads
H100+ ~32GB Est. VRAM
Dense QWEN3_5MOEFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID gestaltlabs/ornstein3.6-35b-a3b-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~31.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{gestaltlabs_ornstein3_6_35b_a3b_gguf,
  author = {GestaltLabs},
  title = {Ornstein3.6 35b A3b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/GestaltLabs/Ornstein3.6-35B-A3B-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
GestaltLabs. (2026). Ornstein3.6 35b A3b Gguf [Model]. Free2AITools. https://huggingface.co/GestaltLabs/Ornstein3.6-35B-A3B-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run ornstein3.6-35b-a3b-gguf
πŸ€— HF Download
huggingface-cli download gestaltlabs/ornstein3.6-35b-a3b-gguf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 51
Popularity (P) 29
Recency (R) 94
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Ornstein3.6 35b A3b Gguf: Authority (A:51), Popularity (P:29), Recency (R:94), 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
1.4KDownloads
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--gestaltlabs--ornstein3.6-35b-a3b-gguf
slug
gestaltlabs--ornstein3.6-35b-a3b-gguf
source
huggingface
author
GestaltLabs
license
Apache-2.0
tags
gguf, safetensors, qwen3_5_moe, llama.cpp, quantized, imatrix, mixture-of-experts, image-text-to-text, conversational, base_model:gestaltlabs/ornstein3.6-35b-a3b, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3_5MoeForConditionalGeneration
params billions
35
context length
32,768
pipeline tag
image-text-to-text
vram gb
31.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 5GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,438
stars
null
forks
null

Data indexed from public sources. Updated daily.