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Qwen3.5 27b Rotorquant Gguf Q5 K M model by majentik
⭐ 39.8
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Model

Qwen3.5 27b Rotorquant Gguf Q5 K M

by majentik majentik/qwen3.5-27b-rotorquant-gguf-q5_k_m
Free2AITools Nexus Index
39.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 17
R: Recency 94
Q: Quality 65
Tech Context
27 Params
5.12K Ctx
Vital Performance
360 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39.8 FNI Score
27B Params
5k Context
360 Downloads
24G GPU ~22GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID majentik/qwen3.5-27b-rotorquant-gguf-q5_k_m
License Apache-2.0
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{majentik_qwen3_5_27b_rotorquant_gguf_q5_k_m,
  author = {majentik},
  title = {Qwen3.5 27b Rotorquant Gguf Q5 K M Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/majentik/Qwen3.5-27B-RotorQuant-GGUF-Q5_K_M}},
  note = {Accessed via Free2AITools.}
}
APA Style
majentik. (2026). Qwen3.5 27b Rotorquant Gguf Q5 K M [Model]. Free2AITools. https://huggingface.co/majentik/Qwen3.5-27B-RotorQuant-GGUF-Q5_K_M

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.5-27b-rotorquant-gguf-q5_k_m
πŸ€— HF Download
huggingface-cli download majentik/qwen3.5-27b-rotorquant-gguf-q5_k_m

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) 17
Recency (R) 94
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.5 27b Rotorquant Gguf Q5 K M: Authority (A:0), Popularity (P:17), 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
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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.

Social Proof

HuggingFace Hub
360Downloads
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--majentik--qwen3.5-27b-rotorquant-gguf-q5_k_m
slug
majentik--qwen3.5-27b-rotorquant-gguf-q5_k_m
source
huggingface
author
majentik
license
Apache-2.0
tags
gguf, rotorquant, kv-cache-quantization, qwen, qwen3.5, llama-cpp, quantized, text-generation, arxiv:2504.19874, base_model:qwen/qwen3.5-27b, base_model:quantized:qwen/qwen3.5-27b, license:apache-2.0, endpoints_compatible, region:us, conversational, en

βš™οΈ Technical Specs

params billions
27
context length
5,120
pipeline tag
text-generation
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
360
stars
0
forks
0

Data indexed from public sources. Updated daily.