🧠

Model

Qwen3.6 27b 4bit

Name: Qwen3.6 27b 4bit
Author: Mlx Community

by Mlx Community mlx-community/qwen3.6-27b-4bit

Free2AITools Nexus Index

58.0

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 49

P: Popularity 53

R: Recency 92

Q: Quality 65

Tech Context

4.67 Params

32.768K Ctx

Vital Performance

39.8K DL / 30D

Source →

Audited 58 FNI Score

4.67B Params

32k Context

39.8K Downloads

8G GPU ~6GB Est. VRAM

Dense QWEN3_5FORCONDITIONALGENERATION Architecture

Commercial APACHE License

Model Information Summary
Entity Passport
Registry ID	mlx-community/qwen3.6-27b-4bit
License	Apache-2.0
Provider	huggingface

💾

Compute Threshold

~6GB VRAM

Interactive

Analyze Hardware

Hardware Compatibility Test

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{mlx_community_qwen3_6_27b_4bit,
  author = {Mlx Community},
  title = {Qwen3.6 27b 4bit Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mlx-community/Qwen3.6-27B-4bit}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

Mlx Community. (2026). Qwen3.6 27b 4bit [Model]. Free2AITools. https://huggingface.co/mlx-community/Qwen3.6-27B-4bit

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run qwen3.6-27b-4bit

🤗 HF Download

huggingface-cli download mlx-community/qwen3.6-27b-4bit

⚖️ Free2AITools Nexus Index V2.0

Methodology Index Protocol

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 49

Popularity (P) 53

Recency (R) 92

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Qwen3.6 27b 4bit: Authority (A:49), Popularity (P:53), Recency (R:92), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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

⚠️ 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

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• 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

39.8KDownloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--mlx-community--qwen3.6-27b-4bit
slug: mlx-community--qwen3.6-27b-4bit
source: huggingface
author: Mlx Community
license: Apache-2.0
tags: mlx, safetensors, qwen3_5, image-text-to-text, conversational, base_model:qwen/qwen3.6-27b, base_model:quantized:qwen/qwen3.6-27b, license:apache-2.0, 4-bit, region:us

⚙️ Technical Specs

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

📊 Engagement & Metrics

downloads: 39,791
stars: null
forks: null

Data indexed from public sources. Updated daily.