What are the hardware requirements for Qwen3.8 27B GeoRefine D14 Abl GGUF?

Qwen3.8 27B GeoRefine D14 Abl GGUF requires approximately 14.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B GeoRefine D14 Abl GGUF and how large is it?

Qwen3.8 27B GeoRefine D14 Abl GGUF is developed by Tsotchke-Corporation, a model with 27b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3.8 27B GeoRefine D14 Abl GGUF?

Qwen3.8 27B GeoRefine D14 Abl GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B GeoRefine D14 Abl GGUF by Tsotchke-Corporation — VRAM 14.2GB

Name: Qwen3.8 27B GeoRefine D14 Abl GGUF
Author: Tsotchke-Corporation

Qwen3.8 27B GeoRefine D14 Abl GGUF is an open-source language model by Tsotchke-Corporation. Features: 27b LLM, VRAM: 14.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.33.

Base model:huihui-ai/huihui-qw... Base model:quantized:huihui-ai... Conversational Endpoints compatible Experimental Georefine Gguf Imatrix Quantized Qwen3 5 Region:us

Model Card on HF 🤗: https://huggingface.co/Tsotchke-Corporation/Qwen3.8-27B-GeoRefine-D14-abl-GGUF

Qwen3.8 27B GeoRefine D14 Abl GGUF Parameters and Internals

LLM Name	Qwen3.8 27B GeoRefine D14 Abl GGUF
Repository 🤗	https://huggingface.co/Tsotchke-Corporation/Qwen3.8-27B-GeoRefine-D14-abl-GGUF
Base Model(s)	huihui-ai/Huihui-Qwen3.8-27B-abliterated huihui-ai/Huihui-Qwen3.8-27B-abliterated
Model Size	27b
Required VRAM	14.2 GB
Updated	2026-10-04
Maintainer	Tsotchke-Corporation
Model Type	qwen3_5
Model Files	14.2 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B GeoRefine D14 Abl GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Qwen3.8 27B GeoRefine D14 Abl GGUF

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...N V1.1 NM DAU NEO MAX MTP GGUF	0K / 0.9 GB	445947	326
... Opus Reasoning Distilled GGUF	0K / 0.9 GB	67921	679
Qwen3.8 27B GGUF	0K / 0.9 GB	0	685
...inkingCap Qwen3.8 27B MIX GGUF	0K / 13.4 GB	1395	7
...B Abliterated V2 PQ2 0 MTP MLX	0K / 0.8 GB	1040	2
Swift Qwen3.8 27B MIX GGUF	0K / 0.9 GB	2219	2
...N Blackwell DFlash2 Ultra V1.0	0K / 0.9 GB	3531	3
Ternary Bonsai 2 27B MLX 4bit	0K / 16 GB	1175	2
EleMo V3 Base	0K / 0.9 GB	1989	1
...4 Blackwell DFlash2 Ultra V1.0	0K / 0.9 GB	789	2

Note: green Score (e.g. "73.2") means that the model is better than Tsotchke-Corporation/Qwen3.8-27B-GeoRefine-D14-abl-GGUF.