🧠
Holo 3.1 0.8b model by Hcompany
⭐ 55.5
🧠
Model

Holo 3.1 0.8b

by Hcompany hcompany/holo-3.1-0.8b
Free2AITools Nexus Index
55.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 48
P: Popularity 30
R: Recency 99
Q: Quality 65
Tech Context
1.11 Params
32.768K Ctx
Vital Performance
1.6K DL / 30D
Source β†’
Low FNI signal 55.5 FNI Score
Tiny 1.11B Params
32k Context
1.6K Downloads
8G GPU ~4GB Est. VRAM
Dense QWEN3_5FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hcompany/holo-3.1-0.8b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.3GB 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_0_8b,
  author = {Hcompany},
  title = {Holo 3.1 0.8b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Hcompany/Holo-3.1-0.8B}},
  note = {Accessed via Free2AITools.}
}
APA Style
Hcompany. (2026). Holo 3.1 0.8b [Model]. Free2AITools. https://huggingface.co/Hcompany/Holo-3.1-0.8B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run holo-3.1-0.8b
πŸ€— HF Download
huggingface-cli download hcompany/holo-3.1-0.8b
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) 48
Popularity (P) 30
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Holo 3.1 0.8b: Authority (A:48), Popularity (P:30), 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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Deployment reference

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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
1.6KDownloads
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-3.1-0.8b
slug
hcompany--holo-3.1-0.8b
source
huggingface
author
Hcompany
license
Apache-2.0
tags
transformers, safetensors, qwen3_5, image-text-to-text, multimodal, action, agent, pytorch, computer use, gui agents, moe, conversational, en, base_model:qwen/qwen3.5-0.8b, base_model:finetune:qwen/qwen3.5-0.8b, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3_5ForConditionalGeneration
params billions
1.11
context length
32,768
pipeline tag
image-text-to-text
vram gb
3.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,649
stars
null
forks
null

Data indexed from public sources. Updated daily.