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AuraGo Qwen3.5 4B by antibyte

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AuraGo Qwen3.5 4B is an open-source language model by antibyte. Features: 4b LLM, VRAM: 9.3GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.27.

  Agentic   Aurago Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3.5-4b   Conversational   Endpoints compatible   Function-calling   German   Qwen3.5   Qwen3 5 text   Region:us   Safetensors   Sharded   Tensorflow   Tool-calling
Model Card on HF 🤗: https://huggingface.co/antibyte/AuraGo-Qwen3.5-4B 

AuraGo Qwen3.5 4B Benchmarks

LLME Score: 0.27054
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AuraGo Qwen3.5 4B (antibyte/AuraGo-Qwen3.5-4B)

AuraGo Qwen3.5 4B Parameters and Internals

LLM NameAuraGo Qwen3.5 4B
Repository 🤗https://huggingface.co/antibyte/AuraGo-Qwen3.5-4B 
Model NameQwen/Qwen3.5-4B
Base Model(s)  Qwen/Qwen3.5-4B   Qwen/Qwen3.5-4B
Model Size4b
Required VRAM9.3 GB
Updated2026-07-30
Maintainerantibyte
Model Typeqwen3_5_text
Model Files  5.3 GB: 1-of-2   4.0 GB: 2-of-2
Model ArchitectureAutoModel
Licenseapache-2.0
Context Length262144
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Vocabulary Size248320
Torch Data Typebfloat16
Errorsreplace

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Rank the AuraGo Qwen3.5 4B 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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