🧠
Qwen3.6 35b A3b Awq 4bit model by Np Deploys
⭐ 38.3
🧠
Model

Qwen3.6 35b A3b Awq 4bit

by Np Deploys hf-model--np-deploys--qwen3.6-35b-a3b-awq-4bit
Nexus Index
38.3 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 98
Q: Quality 65
Tech Context
35 Params
4.096K Ctx
Vital Performance
1 DL / 30D
0.0%
Source →
Audited 38.3 FNI Score
35B Params
4k Context
1 Downloads
H100+ ~29GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--np-deploys--qwen3.6-35b-a3b-awq-4bit
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~28.8GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__np_deploys__qwen3.6_35b_a3b_awq_4bit,
  author = {Np Deploys},
  title = {Qwen3.6 35b A3b Awq 4bit Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/np-deploys/qwen3.6-35b-a3b-awq-4bit}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Np Deploys. (2026). Qwen3.6 35b A3b Awq 4bit [Model]. Free2AITools. https://huggingface.co/np-deploys/qwen3.6-35b-a3b-awq-4bit

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run qwen3.6-35b-a3b-awq-4bit
🤗 HF Download
huggingface-cli download np-deploys/qwen3.6-35b-a3b-awq-4bit
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
38.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 98
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3.6 35b A3b Awq 4bit: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:98), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

📊

Find Training Datasets

Discover datasets compatible with this model

📈

Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

Understand deployment options

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
1Downloads
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--np-deploys--qwen3.6-35b-a3b-awq-4bit
slug
np-deploys--qwen3.6-35b-a3b-awq-4bit
source
huggingface
author
Np Deploys
license
Apache-2.0
tags
transformers, safetensors, qwen3_5_moe, image-text-to-text, conversational, base_model:qwen/qwen3.6-35b-a3b, base_model:quantized:qwen/qwen3.6-35b-a3b, license:apache-2.0, endpoints_compatible, compressed-tensors, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
35
context length
4,096
pipeline tag
image-text-to-text
vram gb
28.8
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
1
stars
0
forks
null

Data indexed from public sources. Updated daily.