🧠
Ruos Foundry Tools Qwen3 30b A3b E32 model by ruvnet
⭐ 39
🧠
Model

Ruos Foundry Tools Qwen3 30b A3b E32

by ruvnet ruvnet/ruos-foundry-tools-qwen3-30b-a3b-e32
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 95
Q: Quality 65
Tech Context
8.78 Params
32.768K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
8.78B Params
32k Context
0 Downloads
24G GPU ~10GB Est. VRAM
Dense QWEN3MOEFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID ruvnet/ruos-foundry-tools-qwen3-30b-a3b-e32
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~9.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ruvnet_ruos_foundry_tools_qwen3_30b_a3b_e32,
  author = {ruvnet},
  title = {Ruos Foundry Tools Qwen3 30b A3b E32 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ruvnet/ruos-foundry-tools-qwen3-30b-a3b-e32}},
  note = {Accessed via Free2AITools.}
}
APA Style
ruvnet. (2026). Ruos Foundry Tools Qwen3 30b A3b E32 [Model]. Free2AITools. https://huggingface.co/ruvnet/ruos-foundry-tools-qwen3-30b-a3b-e32

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run ruos-foundry-tools-qwen3-30b-a3b-e32
πŸ€— HF Download
huggingface-cli download ruvnet/ruos-foundry-tools-qwen3-30b-a3b-e32
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) 0
Recency (R) 95
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Ruos Foundry Tools Qwen3 30b A3b E32: Authority (A:0), Popularity (P:0), Recency (R:95), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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.
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--ruvnet--ruos-foundry-tools-qwen3-30b-a3b-e32
slug
ruvnet--ruos-foundry-tools-qwen3-30b-a3b-e32
source
huggingface
author
ruvnet
license
Apache-2.0
tags
transformers, safetensors, qwen3_moe, text-generation, ruos, moe, expert-pruning, moe-foundry, unevaluated, conversational, en, base_model:qwen/qwen3-30b-a3b-instruct-2507, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3MoeForCausalLM
params billions
8.78
context length
32,768
pipeline tag
text-generation
vram gb
9.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.