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Memagent Pte Qwen3 30b A3b model by zeliang0426
⭐ 39
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Model

Memagent Pte Qwen3 30b A3b

by zeliang0426 zeliang0426/memagent-pte-qwen3-30b-a3b
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 31
R: Recency 100
Q: Quality 65
Tech Context
30.56 Params
32.768K Ctx
Vital Performance
1.9K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
30.56B Params
32k Context
1.9K Downloads
H100+ ~29GB Est. VRAM
Dense QWEN3MOEPTEADAPTERFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID zeliang0426/memagent-pte-qwen3-30b-a3b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~28.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{zeliang0426_memagent_pte_qwen3_30b_a3b,
  author = {zeliang0426},
  title = {Memagent Pte Qwen3 30b A3b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/zeliang0426/MemAgent-PTE-Qwen3-30B-A3B}},
  note = {Accessed via Free2AITools.}
}
APA Style
zeliang0426. (2026). Memagent Pte Qwen3 30b A3b [Model]. Free2AITools. https://huggingface.co/zeliang0426/MemAgent-PTE-Qwen3-30B-A3B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run memagent-pte-qwen3-30b-a3b
πŸ€— HF Download
huggingface-cli download zeliang0426/memagent-pte-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) 0
Popularity (P) 31
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Memagent Pte Qwen3 30b A3b: Authority (A:0), Popularity (P:31), 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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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.

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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
1.9KDownloads
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--zeliang0426--memagent-pte-qwen3-30b-a3b
slug
zeliang0426--memagent-pte-qwen3-30b-a3b
source
huggingface
author
zeliang0426
license
Apache-2.0
tags
transformers, safetensors, qwen3_moe_pte_adapter, text-generation, memagent, pte, conversational, custom_code, license:apache-2.0, region:us

βš™οΈ Technical Specs

architecture
Qwen3MoePTEAdapterForCausalLM
params billions
30.56
context length
32,768
pipeline tag
text-generation
vram gb
28.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 5GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,877

Data indexed from public sources. Updated daily.