Qwable 5 27B Coder by DJLougen

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Qwable 5 27B Coder is an open-source language model by DJLougen. Features: 27b LLM, VRAM: 55.4GB, License: apache-2.0, LLM Explorer Score: 0.33.

  Agentic Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3.6-27b   Code   Conversational   Demonstration   Distillation   En   Evaluation   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow

Qwable 5 27B Coder Benchmarks

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

Qwable 5 27B Coder Parameters and Internals

LLM NameQwable 5 27B Coder
Repository 🤗https://huggingface.co/DJLougen/Qwable-5-27B-Coder 
Model Nameunsloth/Qwen3.6-27B
Base Model(s)  Qwen/Qwen3.6-27B   Qwen/Qwen3.6-27B
Model Size27b
Required VRAM55.4 GB
Updated2026-06-30
MaintainerDJLougen
Model Typeqwen3_5
Model Files  4.0 GB: 1-of-15   3.9 GB: 2-of-15   3.9 GB: 3-of-15   3.9 GB: 4-of-15   3.9 GB: 5-of-15   3.9 GB: 6-of-15   4.0 GB: 7-of-15   3.9 GB: 8-of-15   3.9 GB: 9-of-15   3.9 GB: 10-of-15   3.9 GB: 11-of-15   3.9 GB: 12-of-15   4.0 GB: 13-of-15   3.9 GB: 14-of-15   0.5 GB: 15-of-15
Supported Languagesen
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|vision_pad|>
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than DJLougen/Qwable-5-27B-Coder.

Rank the Qwable 5 27B Coder Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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