Miquella 120B by alpindale

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Miquella 120B Benchmarks

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

Miquella 120B Parameters and Internals

LLM NameMiquella 120B
Repository ๐Ÿค—https://huggingface.co/alpindale/miquella-120b 
Model Size120b
Required VRAM235.6 GB
Updated2024-10-07
Maintaineralpindale
Model Typellama
Model Files  9.7 GB: 1-of-24   9.8 GB: 2-of-24   9.8 GB: 3-of-24   9.8 GB: 4-of-24   9.9 GB: 5-of-24   9.8 GB: 6-of-24   10.0 GB: 7-of-24   9.8 GB: 8-of-24   9.8 GB: 9-of-24   9.7 GB: 10-of-24   9.8 GB: 11-of-24   9.6 GB: 12-of-24   9.8 GB: 13-of-24   10.0 GB: 14-of-24   9.8 GB: 15-of-24   9.8 GB: 16-of-24   10.0 GB: 17-of-24   9.8 GB: 18-of-24   9.7 GB: 19-of-24   9.9 GB: 20-of-24   10.0 GB: 21-of-24   9.8 GB: 22-of-24   9.8 GB: 23-of-24   9.7 GB: 24-of-24
Model ArchitectureLlamaForCausalLM
Context Length32764
Model Max Length32764
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Miquella 120B (alpindale/miquella-120b)

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Note: green Score (e.g. "73.2") means that the model is better than alpindale/miquella-120b.

Rank the Miquella 120B Capabilities

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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