🧠
Qwen3 30b A3b model by Qwen
⭐ 34.8
🧠
Model

Qwen3 30b A3b

by Qwen huggingface/qwen/qwen3-30b-a3b
Free2AITools Nexus Index
34.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 57
P: Popularity 65
R: Recency 100
Q: Quality 70
Tech Context
30 Params
4.096K Ctx
Vital Performance
397.0K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 34.8 FNI Score
30B Params
4k Context
Hot 397.0K Downloads
24G GPU ~24GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID huggingface/qwen/qwen3-30b-a3b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~23.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{huggingface_qwen_qwen3_30b_a3b,
  author = {Qwen},
  title = {Qwen3 30b A3b Model},
  howpublished = {\url{https://huggingface.co/Qwen/Qwen3-30B-A3B}},
  note = {Accessed via Free2AITools.}
}
APA Style
Qwen. Qwen3 30b A3b [Model]. Free2AITools. https://huggingface.co/Qwen/Qwen3-30B-A3B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3-30b-a3b
πŸ€— HF Download
huggingface-cli download huggingface/qwen/qwen3-30b-a3b
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) 57
Popularity (P) 65
Recency (R) 100
Quality (Q) 70

πŸ’¬ Index Insight

FNI V2.0 for Qwen3 30b A3b: Authority (A:57), Popularity (P:65), Recency (R:100), Quality (Q:70). 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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πŸš€ What's Next?

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Deployment reference

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Technical Deep Dive

Qwen3-30B-A3B

Chat

Qwen3 Highlights

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features:

  • Uniquely support of seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose dialogue) within single model, ensuring optimal performance across various scenarios.
  • Significantly enhancement in its reasoning capabilities, surpassing previous QwQ (in thinking mode) and Qwen2.5 instruct models (in non-thinking mode) on mathematics, code generation, and commonsense logical reasoning.
  • Superior human preference alignment, excelling in creative writing, role-playing, multi-turn dialogues, and instruction following, to deliver a more natural, engaging, and immersive conversational experience.
  • Expertise in agent capabilities, enabling precise integration with external tools in both thinking and unthinking modes and achieving leading performance among open-source models in complex agent-based tasks.
  • Support of 100+ languages and dialects with strong capabilities for multilingual instruction following and translation.

Model Overview

Qwen3-30B-A3B has the following features:

  • Type: Causal Language Models
  • Training Stage: Pretraining & Post-training
  • Number of Parameters: 30.5B in total and

⚠️ 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.

Social Proof

HuggingFace Hub
397.0KDownloads
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--huggingface--qwen--qwen3-30b-a3b
slug
huggingface--qwen--qwen3-30b-a3b
source
huggingface
author
Qwen
license
Apache-2.0
tags
transformers, safetensors, qwen3_moe, text-generation, conversational, arxiv:2309.00071, arxiv:2505.09388, base_model:qwen/qwen3-30b-a3b-base, base_model:finetune:qwen/qwen3-30b-a3b-base, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

params billions
30
context length
4,096
pipeline tag
text-generation
vram gb
23.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
396,990
stars
0
forks
0

Data indexed from public sources. Updated daily.