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Aurora Code 1 by Perciqa

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Aurora Code 1 is an open-source language model by Perciqa. Features: 34.7b LLM, VRAM: 69GB, Context: 256K, License: apache-2.0, MoE, Instruction-Based, LLM Explorer Score: 0.33.

  Agentic   Aurora Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.6-35b-a3...   Canadian-ai   Code   Code-generation   Code-review   Coding   Conversational Dataset:perciqa/aurora-code-sf...   Debugging   En   Endpoints compatible   Enterprise   Fr   Instruct   Instruction-tuned   Lora   Moe   Multilingual   Perciqa   Qwen3 5 moe text   Region:us   Safetensors   Sft   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Perciqa/Aurora-Code-1 

Aurora Code 1 Benchmarks

LLME Score: 0.33242
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aurora Code 1 (Perciqa/Aurora-Code-1)
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Aurora Code 1 Parameters and Internals

LLM NameAurora Code 1
Repository 🤗https://huggingface.co/Perciqa/Aurora-Code-1 
Base Model(s)  Qwen/Qwen3.6-35B-A3B   Qwen/Qwen3.6-35B-A3B
Model Size34.7b
Required VRAM69 GB
Updated2026-07-21
MaintainerPerciqa
Model Typeqwen3_5_moe_text
Instruction-BasedYes
Model Files  3.8 GB: 1-of-21   3.8 GB: 2-of-21   3.4 GB: 3-of-21   3.3 GB: 4-of-21   3.4 GB: 5-of-21   3.3 GB: 6-of-21   3.4 GB: 7-of-21   3.3 GB: 8-of-21   3.4 GB: 9-of-21   3.3 GB: 10-of-21   3.4 GB: 11-of-21   3.3 GB: 12-of-21   3.4 GB: 13-of-21   3.3 GB: 14-of-21   3.4 GB: 15-of-21   3.3 GB: 16-of-21   3.4 GB: 17-of-21   3.3 GB: 18-of-21   3.4 GB: 19-of-21   3.3 GB: 20-of-21   1.1 GB: 21-of-21
Supported Languagesen fr
Model ArchitectureQwen3_5MoeForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.14.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

Best Alternatives to Aurora Code 1

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Grug 35B A3B256K / 69 GB115530
Note: green Score (e.g. "73.2") means that the model is better than Perciqa/Aurora-Code-1.

Rank the Aurora Code 1 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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