🧠
Qwen3.6 35b A3b Nvfp4 Fast model by unsloth
⭐ 61.2
🧠
Model

Qwen3.6 35b A3b Nvfp4 Fast

by unsloth unsloth/qwen3.6-35b-a3b-nvfp4-fast
Free2AITools Nexus Index
61.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 53
P: Popularity 65
R: Recency 94
Q: Quality 65
Tech Context
21.8 Params
32.768K Ctx
Vital Performance
430.1K DL / 30D
Source β†’
Low FNI signal 61.2 FNI Score
21.8B Params
32k Context
Hot 430.1K Downloads
24G GPU ~19GB Est. VRAM
Dense QWEN3_5MOEFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID unsloth/qwen3.6-35b-a3b-nvfp4-fast
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~18.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{unsloth_qwen3_6_35b_a3b_nvfp4_fast,
  author = {unsloth},
  title = {Qwen3.6 35b A3b Nvfp4 Fast Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/unsloth/Qwen3.6-35B-A3B-NVFP4-Fast}},
  note = {Accessed via Free2AITools.}
}
APA Style
unsloth. (2026). Qwen3.6 35b A3b Nvfp4 Fast [Model]. Free2AITools. https://huggingface.co/unsloth/Qwen3.6-35B-A3B-NVFP4-Fast

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.6-35b-a3b-nvfp4-fast
πŸ€— HF Download
huggingface-cli download unsloth/qwen3.6-35b-a3b-nvfp4-fast
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) 53
Popularity (P) 65
Recency (R) 94
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.6 35b A3b Nvfp4 Fast: Authority (A:53), Popularity (P:65), Recency (R:94), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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
430.1KDownloads
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--unsloth--qwen3.6-35b-a3b-nvfp4-fast
slug
unsloth--qwen3.6-35b-a3b-nvfp4-fast
source
huggingface
author
unsloth
license
Apache-2.0
tags
transformers, safetensors, qwen3_5_moe, image-text-to-text, unsloth, qwen, qwen3_5, conversational, base_model:qwen/qwen3.6-35b-a3b, base_model:quantized:qwen/qwen3.6-35b-a3b, license:apache-2.0, endpoints_compatible, 8-bit, compressed-tensors, region:us

βš™οΈ Technical Specs

architecture
Qwen3_5MoeForConditionalGeneration
params billions
21.8
context length
32,768
pipeline tag
image-text-to-text
vram gb
18.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
430,145
stars
null
forks
null

Data indexed from public sources. Updated daily.