🧠
Qwen3.6 27b Mtplx Optimized Speed model by Youssofal
⭐ 58.3
🧠
Model

Qwen3.6 27b Mtplx Optimized Speed

by Youssofal hf-model--youssofal--qwen3.6-27b-mtplx-optimized-speed
Nexus Index
58.3 Top 100%
S: Semantic 50
A: Authority 49
P: Popularity 51
R: Recency 96
Q: Quality 65
Tech Context
4.67 Params
32.768K Ctx
Vital Performance
28.7K DL / 30D
0.0%
Source →
Audited 58.3 FNI Score
4.67B Params
32k Context
28.7K Downloads
8G GPU ~6GB Est. VRAM
Dense QWEN3_5FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--youssofal--qwen3.6-27b-mtplx-optimized-speed
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~6GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__youssofal__qwen3.6_27b_mtplx_optimized_speed,
  author = {Youssofal},
  title = {Qwen3.6 27b Mtplx Optimized Speed Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Youssofal. (2026). Qwen3.6 27b Mtplx Optimized Speed [Model]. Free2AITools. https://huggingface.co/Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run qwen3.6-27b-mtplx-optimized-speed
🤗 HF Download
huggingface-cli download youssofal/qwen3.6-27b-mtplx-optimized-speed

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
58.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 49
Popularity (P) 51
Recency (R) 96
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3.6 27b Mtplx Optimized Speed: Semantic (S:50), Authority (A:49), Popularity (P:51), Recency (R:96), 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
28.7KDownloads
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--youssofal--qwen3.6-27b-mtplx-optimized-speed
slug
youssofal--qwen3.6-27b-mtplx-optimized-speed
source
huggingface
author
Youssofal
license
Apache-2.0
tags
mlx, safetensors, qwen3_5, apple-silicon, speculative-decoding, qwen, qwen3, qwen3-next, mtp, mtplx, local-ai, text-generation, conversational, base_model:qwen/qwen3.6-27b, base_model:quantized:qwen/qwen3.6-27b, license:apache-2.0, 4-bit, region:us

⚙ī¸ Technical Specs

architecture
Qwen3_5ForConditionalGeneration
params billions
4.67
context length
32,768
pipeline tag
text-generation
vram gb
6
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
28,719
stars
0
forks
null

Data indexed from public sources. Updated daily.