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Qwen3.6 35b A3b Nvfp4 model by ykarout
⭐ 38.3
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Model

Qwen3.6 35b A3b Nvfp4

by ykarout ykarout/qwen3.6-35b-a3b-nvfp4
Free2AITools Nexus Index
38.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 77
Q: Quality 65
Tech Context
19 Params
32.768K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 38.3 FNI Score
19B Params
32k Context
0 Downloads
24G GPU ~17GB Est. VRAM
Dense QWEN3_5MOEFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID ykarout/qwen3.6-35b-a3b-nvfp4
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~16.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ykarout_qwen3_6_35b_a3b_nvfp4,
  author = {ykarout},
  title = {Qwen3.6 35b A3b Nvfp4 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ykarout/Qwen3.6-35B-A3B-NVFP4}},
  note = {Accessed via Free2AITools.}
}
APA Style
ykarout. (2026). Qwen3.6 35b A3b Nvfp4 [Model]. Free2AITools. https://huggingface.co/ykarout/Qwen3.6-35B-A3B-NVFP4

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.6-35b-a3b-nvfp4
πŸ€— HF Download
huggingface-cli download ykarout/qwen3.6-35b-a3b-nvfp4
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) 0
Popularity (P) 0
Recency (R) 77
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.6 35b A3b Nvfp4: Authority (A:0), Popularity (P:0), Recency (R:77), 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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⚠️ 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.
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--ykarout--qwen3.6-35b-a3b-nvfp4
slug
ykarout--qwen3.6-35b-a3b-nvfp4
source
huggingface
author
ykarout
license
Apache-2.0
tags
transformers, safetensors, qwen3_5_moe, image-text-to-text, conversational, license:apache-2.0, endpoints_compatible, 8-bit, modelopt, region:us

βš™οΈ Technical Specs

architecture
Qwen3_5MoeForConditionalGeneration
params billions
19
context length
32,768
pipeline tag
image-text-to-text
vram gb
16.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.