Grug 27B by ProCreations

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Grug 27B is an open-source language model by ProCreations. Features: 27b LLM, VRAM: 54.8GB, License: apache-2.0, LLM Explorer Score: 0.46.

  Agentic Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3.6-27b   Conversational Dataset:procreations/grug-thin... Dataset:procreations/grug-thin...   En   Endpoints compatible   Grug   Qwen3 5   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Token-efficient   Tool-use

Grug 27B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Grug 27B (ProCreations/grug-27b)

Grug 27B Parameters and Internals

LLM NameGrug 27B
Repository 🤗https://huggingface.co/ProCreations/grug-27b 
Base Model(s)  Qwen/Qwen3.6-27B   Qwen/Qwen3.6-27B
Model Size27b
Required VRAM54.8 GB
Updated2026-07-25
MaintainerProCreations
Model Typeqwen3_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 Languagesen
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.14.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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

Rank the Grug 27B Capabilities

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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  

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Release v20260328a