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Qwen3.6 14b A3b Fablevibes Gguf model by tvall43
⭐ 59.6
🧠
Model

Qwen3.6 14b A3b Fablevibes Gguf

by tvall43 tvall43/qwen3.6-14b-a3b-fablevibes-gguf
Free2AITools Nexus Index
59.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 54
P: Popularity 60
R: Recency 89
Q: Quality 65
Tech Context
14 Params
4.096K Ctx
Vital Performance
154.9K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 59.6 FNI Score
14B Params
4k Context
Hot 154.9K Downloads
24G GPU ~12GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID tvall43/qwen3.6-14b-a3b-fablevibes-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~11.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{tvall43_qwen3_6_14b_a3b_fablevibes_gguf,
  author = {tvall43},
  title = {Qwen3.6 14b A3b Fablevibes Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/tvall43/Qwen3.6-14B-A3B-FableVibes-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
tvall43. (2026). Qwen3.6 14b A3b Fablevibes Gguf [Model]. Free2AITools. https://huggingface.co/tvall43/Qwen3.6-14B-A3B-FableVibes-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.6-14b-a3b-fablevibes-gguf
πŸ€— HF Download
huggingface-cli download tvall43/qwen3.6-14b-a3b-fablevibes-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) 60
Recency (R) 89
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.6 14b A3b Fablevibes Gguf: Authority (A:54), Popularity (P:60), Recency (R:89), 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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πŸš€ What's Next?

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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
154.9KDownloads
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--tvall43--qwen3.6-14b-a3b-fablevibes-gguf
slug
tvall43--qwen3.6-14b-a3b-fablevibes-gguf
source
huggingface
author
tvall43
license
Apache-2.0
tags
gguf, qwen, llama.cpp, text-generation, vision, en, dataset:glint-research/fable-5-traces, dataset:zake7749/qwen3.6-35b-a3b-tool-calling, dataset:nickrosh/evol-instruct-code-80k-v1, base_model:tvall43/qwen3.6-14b-a3b-fablevibes, license:apache-2.0, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

architecture
null
params billions
14
context length
4,096
pipeline tag
text-generation
vram gb
11.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
154,867
stars
null
forks
null

Data indexed from public sources. Updated daily.