What are the hardware requirements for Grug V1.1 Qwen 3.8 27B?

Grug V1.1 Qwen 3.8 27B requires approximately 54.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Grug V1.1 Qwen 3.8 27B and how large is it?

Grug V1.1 Qwen 3.8 27B is developed by ProCreations, 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 Grug V1.1 Qwen 3.8 27B?

Grug V1.1 Qwen 3.8 27B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Grug V1.1 Qwen 3.8 27B by ProCreations — VRAM 54.8GB

Name: Grug V1.1 Qwen 3.8 27B
Author: ProCreations

Grug V1.1 Qwen 3.8 27B is an open-source language model by ProCreations. Features: 27b LLM, VRAM: 54.8GB, License: apache-2.0, LLM Explorer Score: 0.29.

Agentic Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.8-27b Conversational En Endpoints compatible Grug Image-text-to-text Qwen3 5 Reasoning Region:us Safetensors Sharded Tensorflow Token-efficient Tool-use

Model Card on HF 🤗: https://huggingface.co/ProCreations/grug-v1.1-qwen-3.8-27b

Grug V1.1 Qwen 3.8 27B Parameters and Internals

LLM Name	Grug V1.1 Qwen 3.8 27B
Repository 🤗	https://huggingface.co/ProCreations/grug-v1.1-qwen-3.8-27b
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	54.8 GB
Updated	2026-08-20
Maintainer	ProCreations
Model Type	qwen3_5
Model Files	2.5 GB: 1-of-15 3.9 GB: 2-of-15 4.0 GB: 3-of-15 4.0 GB: 4-of-15 3.9 GB: 5-of-15 4.0 GB: 6-of-15 4.0 GB: 7-of-15 3.8 GB: 8-of-15 4.0 GB: 9-of-15 4.0 GB: 10-of-15 3.8 GB: 11-of-15 4.0 GB: 12-of-15 4.0 GB: 13-of-15 4.0 GB: 14-of-15 0.9 GB: 15-of-15
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.15.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Grug V1.1 Qwen 3.8 27B 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

Quantized Models of the Grug V1.1 Qwen 3.8 27B

Model	Likes	Downloads	VRAM
...rug V1.1 Qwen 3.8 27B MLX 4bit	1	38	15 GB

Best Alternatives to Grug V1.1 Qwen 3.8 27B

Best Alternatives	Context / RAM	Downloads	Likes
...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
Agens Pilot	1024K / 54.7 GB	93	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	21094	2217
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419

Note: green Score (e.g. "73.2") means that the model is better than ProCreations/grug-v1.1-qwen-3.8-27b.