What are the hardware requirements for Garrulus GPTQ?

Garrulus GPTQ requires approximately 4.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Garrulus GPTQ and how large is it?

Garrulus GPTQ is developed by TheBloke, a model with 7.2b 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 Garrulus GPTQ?

Garrulus GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Garrulus GPTQ by TheBloke — VRAM 4.2GB, 32K context

Name: Garrulus GPTQ
Author: TheBloke

Garrulus GPTQ is an open-source language model by TheBloke. Features: 7.2b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

4-bit 7b Base model:quantized:udkai/gar... Base model:udkai/garrulus Dataset:hromi/winograd dpo bas... Dpo Gptq Mistral Mlabonne/neuralmarcoro14-7b Quantized Region:us Safetensors Winograd

Model Card on HF 🤗: https://huggingface.co/TheBloke/Garrulus-GPTQ

Garrulus GPTQ Parameters and Internals

Model Type

mistral

Additional Notes

The model demonstrates improved performance on Winogrande, TruthfulQA, HellaSwag, and ARC metrics after DPO-contamination.

Training Details

Data Sources:

hromi/winograd_dpo_basic

Methodology:

Subtle contamination with the Winograd dataset (DPO) to enhance performance in various metrics.

Training Time:

Few minutes on A40.

Hardware Used:

A40

LLM Name	Garrulus GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Garrulus-GPTQ
Model Name	Garrulus
Model Creator	UDK dot AI
Base Model(s)	Garrulus udkai/Garrulus
Model Size	7.2b
Required VRAM	4.2 GB
Updated	2026-07-15
Maintainer	TheBloke
Model Type	mistral
Model Files	4.2 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Garrulus GPTQ capabilities

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

Best Alternatives to Garrulus GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Multi Verse Model GPTQ	32K / 4.2 GB	111	1
HamSter 0.1 GPTQ	32K / 4.2 GB	7	2
Phoenix GPTQ	32K / 4.2 GB	12	1
Mistral Ft Optimized 1227 GPTQ	32K / 4.2 GB	19	2
...hat 3.5 1210 Seraph Slerp GPTQ	32K / 4.2 GB	10	2
...h Openchat 3.5 1210 Slerp GPTQ	32K / 4.2 GB	6	1
Metis 0.5 GPTQ	32K / 4.2 GB	6	1
XDAN L1 Chat RL V1 GPTQ	32K / 4.2 GB	15	3
Apricot Wildflower 20 GPTQ	32K / 4.2 GB	12	1
SAM GPTQ	32K / 4.2 GB	19	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Garrulus-GPTQ.