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Thinkingcap Qwen3.6 27b Gguf model by bottlecapai
⭐ 62
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Model

Thinkingcap Qwen3.6 27b Gguf

by bottlecapai bottlecapai/thinkingcap-qwen3.6-27b-gguf
Free2AITools Nexus Index
62.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 54
P: Popularity 64
R: Recency 99
Q: Quality 65
Tech Context
27 Params
4.096K Ctx
Vital Performance
345.3K DL / 30D
Source β†’
Low FNI signal 62 FNI Score
27B Params
4k Context
Hot 345.3K Downloads
24G GPU ~22GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID bottlecapai/thinkingcap-qwen3.6-27b-gguf
Provider huggingface
πŸ’Ύ

Compute Threshold

~21.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{bottlecapai_thinkingcap_qwen3_6_27b_gguf,
  author = {bottlecapai},
  title = {Thinkingcap Qwen3.6 27b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/bottlecapai/ThinkingCap-Qwen3.6-27B-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
bottlecapai. (2026). Thinkingcap Qwen3.6 27b Gguf [Model]. Free2AITools. https://huggingface.co/bottlecapai/ThinkingCap-Qwen3.6-27B-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run thinkingcap-qwen3.6-27b-gguf
πŸ€— HF Download
huggingface-cli download bottlecapai/thinkingcap-qwen3.6-27b-gguf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 54
Popularity (P) 64
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Thinkingcap Qwen3.6 27b Gguf: Authority (A:54), Popularity (P:64), Recency (R:99), 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
345.3KDownloads
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--bottlecapai--thinkingcap-qwen3.6-27b-gguf
slug
bottlecapai--thinkingcap-qwen3.6-27b-gguf
source
huggingface
author
bottlecapai
license
tags
gguf, qwen3_6, llama.cpp, token-efficient, efficient-thinking, image-text-to-text, base_model:bottlecapai/thinkingcap-qwen3.6-27b, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

architecture
null
params billions
27
context length
4,096
pipeline tag
image-text-to-text
vram gb
21.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
345,299
stars
null
forks
null

Data indexed from public sources. Updated daily.