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Holo 3.1 35b A3b Gguf model by Hcompany
⭐ 57.1
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Model

Holo 3.1 35b A3b Gguf

by Hcompany hcompany/holo-3.1-35b-a3b-gguf
Free2AITools Nexus Index
57.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 49
P: Popularity 41
R: Recency 98
Q: Quality 65
Tech Context
35 Params
4.096K Ctx
Vital Performance
7.1K DL / 30D
Source β†’
Low FNI signal 57.1 FNI Score
35B Params
4k Context
7.1K Downloads
H100+ ~29GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hcompany/holo-3.1-35b-a3b-gguf
License Apache-2.0
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{hcompany_holo_3_1_35b_a3b_gguf,
  author = {Hcompany},
  title = {Holo 3.1 35b A3b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Hcompany/Holo-3.1-35B-A3B-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
Hcompany. (2026). Holo 3.1 35b A3b Gguf [Model]. Free2AITools. https://huggingface.co/Hcompany/Holo-3.1-35B-A3B-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run holo-3.1-35b-a3b-gguf
πŸ€— HF Download
huggingface-cli download hcompany/holo-3.1-35b-a3b-gguf
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) 49
Popularity (P) 41
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Holo 3.1 35b A3b Gguf: Authority (A:49), Popularity (P:41), Recency (R:98), 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
7.1KDownloads
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--hcompany--holo-3.1-35b-a3b-gguf
slug
hcompany--holo-3.1-35b-a3b-gguf
source
huggingface
author
Hcompany
license
Apache-2.0
tags
transformers, gguf, multimodal, action, agent, pytorch, computer use, gui agents, moe, image-text-to-text, conversational, en, base_model:qwen/qwen3.5-0.8b, base_model:quantized:qwen/qwen3.5-0.8b, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
null
params billions
35
context length
4,096
pipeline tag
image-text-to-text
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
7,095
stars
null
forks
null

Data indexed from public sources. Updated daily.