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Qwen3.6 35b A3b Cerebellum Gguf model by deucebucket
⭐ 53.8
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Model

Qwen3.6 35b A3b Cerebellum Gguf

by deucebucket deucebucket/qwen3.6-35b-a3b-cerebellum-gguf
Free2AITools Nexus Index
53.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 44
P: Popularity 26
R: Recency 95
Q: Quality 65
Tech Context
35 Params
4.096K Ctx
Vital Performance
1.0K DL / 30D
Source β†’
Low FNI signal 53.8 FNI Score
35B Params
4k Context
1.0K Downloads
H100+ ~29GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID deucebucket/qwen3.6-35b-a3b-cerebellum-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~28.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{deucebucket_qwen3_6_35b_a3b_cerebellum_gguf,
  author = {deucebucket},
  title = {Qwen3.6 35b A3b Cerebellum Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/deucebucket/Qwen3.6-35B-A3B-Cerebellum-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
deucebucket. (2026). Qwen3.6 35b A3b Cerebellum Gguf [Model]. Free2AITools. https://huggingface.co/deucebucket/Qwen3.6-35B-A3B-Cerebellum-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.6-35b-a3b-cerebellum-gguf
πŸ€— HF Download
huggingface-cli download deucebucket/qwen3.6-35b-a3b-cerebellum-gguf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 44
Popularity (P) 26
Recency (R) 95
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.6 35b A3b Cerebellum Gguf: Authority (A:44), Popularity (P:26), Recency (R:95), 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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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
1.0KDownloads
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--deucebucket--qwen3.6-35b-a3b-cerebellum-gguf
slug
deucebucket--qwen3.6-35b-a3b-cerebellum-gguf
source
huggingface
author
deucebucket
license
Apache-2.0
tags
gguf, qwen3, qwen, vision, quantized, cerebellum, imatrix, moe, mixed-precision, 3-bit, conversational, image-text-to-text, base_model:qwen/qwen3.6-35b-a3b, base_model:quantized:qwen/qwen3.6-35b-a3b, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ 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 β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,008
stars
null
forks
null

Data indexed from public sources. Updated daily.