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Vivy R Robotics 3b Gguf model by vinguyen0891
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Model

Vivy R Robotics 3b Gguf

by vinguyen0891 vinguyen0891/vivy-r-robotics-3b-gguf
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 20
R: Recency 100
Q: Quality 65
Tech Context
3 Params
32.768K Ctx
Vital Performance
496 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
3B Params
32k Context
496 Downloads
8G GPU ~5GB Est. VRAM
Dense QWEN2FORCAUSALLM Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID vinguyen0891/vivy-r-robotics-3b-gguf
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~4.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{vinguyen0891_vivy_r_robotics_3b_gguf,
  author = {vinguyen0891},
  title = {Vivy R Robotics 3b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/vinguyen0891/Vivy-R-Robotics-3B-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
vinguyen0891. (2026). Vivy R Robotics 3b Gguf [Model]. Free2AITools. https://huggingface.co/vinguyen0891/Vivy-R-Robotics-3B-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run vivy-r-robotics-3b-gguf
πŸ€— HF Download
huggingface-cli download vinguyen0891/vivy-r-robotics-3b-gguf

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) 20
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Vivy R Robotics 3b Gguf: Authority (A:0), Popularity (P:20), 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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⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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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
496Downloads
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--vinguyen0891--vivy-r-robotics-3b-gguf
slug
vinguyen0891--vivy-r-robotics-3b-gguf
source
huggingface
author
vinguyen0891
license
Other
tags
gguf, safetensors, qwen2, robotics, 6dof-kinematics, embodied-ai, rust, vivy, en, base_model:qwen/qwen2.5-3b-instruct, base_model:quantized:qwen/qwen2.5-3b-instruct, license:apache-2.0, endpoints_compatible, region:us, conversational, autopoietic-harness, neurogenesis, arc-agi-3, swe-agent, license:other

βš™οΈ Technical Specs

architecture
Qwen2ForCausalLM
params billions
3
context length
32,768
pipeline tag
robotics
vram gb
4.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
496

Data indexed from public sources. Updated daily.