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

Qwen3.6 28b Reap

by 0xSero 0xsero/qwen3.6-28b-reap
Free2AITools Nexus Index
55.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 47
P: Popularity 30
R: Recency 95
Q: Quality 65
Tech Context
28.24 Params
32.768K Ctx
Vital Performance
1.6K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 55.3 FNI Score
28.24B Params
32k Context
1.6K Downloads
24G GPU ~24GB Est. VRAM
Dense QWEN3_5MOEFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID 0xsero/qwen3.6-28b-reap
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~23.7GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{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.}
}
APA Style
0xSero. (2026). Qwen3.6 28b Reap [Model]. Free2AITools. https://huggingface.co/0xSero/Qwen3.6-28B-REAP

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.6-28b-reap
πŸ€— HF Download
huggingface-cli download 0xsero/qwen3.6-28b-reap
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) 47
Popularity (P) 30
Recency (R) 95
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.6 28b Reap: Authority (A:47), Popularity (P:30), 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
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πŸš€ What's Next?

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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.

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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
1.6KDownloads
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--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

βš™οΈ Technical Specs

architecture
Qwen3_5MoeForCausalLM
params billions
28.24
context length
32,768
pipeline tag
text-generation
vram gb
23.7
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,650
stars
null
forks
null

Data indexed from public sources. Updated daily.