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Qwen3.8 27b Georefine D14 Abl Gguf model by Tsotchke Corporation
⭐ 46.3
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Model

Qwen3.8 27b Georefine D14 Abl Gguf

by Tsotchke Corporation tsotchke-corporation/qwen3.8-27b-georefine-d14-abl-gguf
Free2AITools Nexus Index
46.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 0
R: Recency 99
Q: Quality 65
Tech Context
27 Params
32.768K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 46.3 FNI Score
27B Params
32k Context
0 Downloads
24G GPU ~23GB Est. VRAM
Dense QWEN3_5FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID tsotchke-corporation/qwen3.8-27b-georefine-d14-abl-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~22.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{tsotchke_corporation_qwen3_8_27b_georefine_d14_abl_gguf,
  author = {Tsotchke Corporation},
  title = {Qwen3.8 27b Georefine D14 Abl Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Tsotchke-Corporation/Qwen3.8-27B-GeoRefine-D14-abl-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
Tsotchke Corporation. (2026). Qwen3.8 27b Georefine D14 Abl Gguf [Model]. Free2AITools. https://huggingface.co/Tsotchke-Corporation/Qwen3.8-27B-GeoRefine-D14-abl-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.8-27b-georefine-d14-abl-gguf
πŸ€— HF Download
huggingface-cli download tsotchke-corporation/qwen3.8-27b-georefine-d14-abl-gguf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 0
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.8 27b Georefine D14 Abl Gguf: Authority (A:29), Popularity (P:0), 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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⚠️ 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.
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--tsotchke-corporation--qwen3.8-27b-georefine-d14-abl-gguf
slug
tsotchke-corporation--qwen3.8-27b-georefine-d14-abl-gguf
source
huggingface
author
Tsotchke Corporation
license
Apache-2.0
tags
gguf, qwen3_5, georefine, experimental, text-generation, conversational, license:apache-2.0, endpoints_compatible, region:us, imatrix

βš™οΈ Technical Specs

architecture
Qwen3_5ForConditionalGeneration
params billions
27
context length
32,768
pipeline tag
text-generation
vram gb
22.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.