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Aether 2.3 by Maxilicious20

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Aether 2.3 is an open-source language model by Maxilicious20. Features: 3b LLM, VRAM: 0.1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.32.

  Aether Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-3b-ins...   Conversational   De   En   English   German   Instruct   Lora   Peft   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/Maxilicious20/Aether-2.3 

Aether 2.3 Benchmarks

LLME Score: 0.32131
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aether 2.3 (Maxilicious20/Aether-2.3)

Aether 2.3 Parameters and Internals

LLM NameAether 2.3
Repository 🤗https://huggingface.co/Maxilicious20/Aether-2.3 
Base Model(s)  Qwen/Qwen2.5-3B-Instruct   Qwen/Qwen2.5-3B-Instruct
Model Size3b
Required VRAM0.1 GB
Updated2026-07-30
MaintainerMaxilicious20
Instruction-BasedYes
Model Files  0.1 GB
Supported Languagesde en
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length131072
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|down_proj|v_proj|up_proj|o_proj|k_proj|gate_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16
Errorsreplace

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Rank the Aether 2.3 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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