🧠
Qwen3.6 28b Reap model by 0xSero
⭐ 55.3
🧠
Model

Qwen3.6 28b Reap

by 0xSero hf-model--0xsero--qwen3.6-28b-reap
Nexus Index
55.3 Top 100%
S: Semantic 50
A: Authority 47
P: Popularity 30
R: Recency 100
Q: Quality 65
Tech Context
28 Params
4.096K Ctx
Vital Performance
1.6K DL / 30D
0.0%
Source →
Audited 55.3 FNI Score
28B Params
4k Context
1.6K Downloads
24G GPU ~23GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--0xsero--qwen3.6-28b-reap
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~22.3GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__0xsero__qwen3.6_28b_reap,
  author = {0xSero},
  title = {Qwen3.6 28b Reap Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/0xsero/qwen3.6-28b-reap}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
0xSero. (2026). Qwen3.6 28b Reap [Model]. Free2AITools. https://huggingface.co/0xsero/qwen3.6-28b-reap

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run qwen3.6-28b-reap
🤗 HF Download
huggingface-cli download 0xsero/qwen3.6-28b-reap
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
55.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 47
Popularity (P) 30
Recency (R) 100
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3.6 28b Reap: Semantic (S:50), Authority (A:47), Popularity (P:30), Recency (R:100), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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⚡

Deployment Guide

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Technical Deep Dive

⚠ī¸ 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 →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ 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
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--0xsero--qwen3.6-28b-reap
slug
0xsero--qwen3.6-28b-reap
source
huggingface
author
0xSero
license
Apache-2.0
tags
transformers, safetensors, qwen3_5_moe, text-generation, mixture-of-experts, reap, pruned, expert-pruning, qwen3.6, conversational, arxiv:2510.13999, base_model:qwen/qwen3.6-35b-a3b, base_model:finetune:qwen/qwen3.6-35b-a3b, license:apache-2.0, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
28
context length
4,096
pipeline tag
text-generation
vram gb
22.3
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
1,650
stars
0
forks
0

Data indexed from public sources. Updated daily.