Aixr by Meforgers

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Model Card on HF ๐Ÿค—: https://huggingface.co/Meforgers/Aixr 

Aixr Benchmarks

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

Aixr Parameters and Internals

Model Type 
text generation
Additional Notes 
Designed for science and artificial intelligence development, with a focus on innovation.
Supported Languages 
tr (proficient), en (proficient), es (proficient)
LLM NameAixr
Repository ๐Ÿค—https://huggingface.co/Meforgers/Aixr 
Required VRAM15.2 GB
Updated2025-02-22
MaintainerMeforgers
Model Files  0.2 GB   4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagestr en es
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|k_proj|o_proj|v_proj|down_proj|q_proj|gate_proj
LoRA Alpha16
LoRA Dropout0
R Param16
Errorsreplace

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All MiniLM L12 V20.5K /  GB20953

Rank the Aixr Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227