Ayam 2x8B by R136a1

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Ayam 2x8B Benchmarks

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

Ayam 2x8B Parameters and Internals

LLM NameAyam 2x8B
Repository ๐Ÿค—https://huggingface.co/R136a1/Ayam-2x8B 
Model Size13.7b
Required VRAM27.3 GB
Updated2024-09-07
MaintainerR136a1
Model Typemixtral
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.9 GB: 5-of-6   2.5 GB: 6-of-6
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.42.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16
Ayam 2x8B (R136a1/Ayam-2x8B)

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Note: green Score (e.g. "73.2") means that the model is better than R136a1/Ayam-2x8B.

Rank the Ayam 2x8B 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 v2024072803