Damork Coder 27B Multimodal V2 by fares-boutriga

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Damork Coder 27B Multimodal V2 is an open-source language model by fares-boutriga. Features: 27b LLM, VRAM: 54.7GB, Code Generating, LLM Explorer Score: 0.24.

  Codegen   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow

Damork Coder 27B Multimodal V2 Benchmarks

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

Damork Coder 27B Multimodal V2 Parameters and Internals

LLM NameDamork Coder 27B Multimodal V2
Repository 🤗https://huggingface.co/fares-boutriga/Damork-Coder-27B-multimodal-v2 
Model Size27b
Required VRAM54.7 GB
Updated2026-06-15
Maintainerfares-boutriga
Model Typeqwen3_5
Model Files  2.5 GB: 1-of-12   4.8 GB: 2-of-12   5.0 GB: 3-of-12   4.9 GB: 4-of-12   5.0 GB: 5-of-12   4.9 GB: 6-of-12   4.9 GB: 7-of-12   5.0 GB: 8-of-12   5.0 GB: 9-of-12   4.9 GB: 10-of-12   5.0 GB: 11-of-12   2.8 GB: 12-of-12
Generates CodeYes
Model ArchitectureQwen3_5ForConditionalGeneration
Model Max Length262144
Transformers Version5.8.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Damork Coder 27B Multimodal V20K / 54.7 GB880
Note: green Score (e.g. "73.2") means that the model is better than fares-boutriga/Damork-Coder-27B-multimodal-v2.

Rank the Damork Coder 27B Multimodal V2 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