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Qwen3.5 27B by unsloth

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Qwen3.5 27B is an open-source language model by unsloth. Features: 27b LLM, VRAM: 54.7GB, License: apache-2.0, LLM Explorer Score: 0.49, ELO: 1403.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3.5-27b   Conversational   Image-text-to-text   Qwen3 5   Qwen3 5 moe   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3.5-27B 

Qwen3.5 27B Benchmarks

LMSys ELO: 1403 vs 1272 (so35)10.3%
LLME Score: 0.49245
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.5 27B (unsloth/Qwen3.5-27B)
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Qwen3.5 27B Parameters and Internals

LLM NameQwen3.5 27B
Repository 🤗https://huggingface.co/unsloth/Qwen3.5-27B 
Base Model(s)  Qwen/Qwen3.5-27B   Qwen/Qwen3.5-27B
Model Size27b
Required VRAM54.7 GB
Updated2026-04-02
Maintainerunsloth
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
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.3.0.dev0
Tokenizer ClassTokenizersBackend
Padding Token<|vision_pad|>
Torch Data Typebfloat16
Errorsreplace

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Qwopus3.5 27B V3 HLWQ V7 GPTQ0K / 19.2 GB6675
...s3.5 27B V3 PolarQuant V7 GPTQ0K / 19.2 GB3023
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3.5-27B.

Rank the Qwen3.5 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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