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Manticore 30B Chat Pyg Alpha by openaccess-ai-collective

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Manticore 30B Chat Pyg Alpha Benchmarks

ARC: 64.16 vs 96.7 (so35)-33.7%
HellaSwag: 84.38 vs 95.3 (gpt4)-11.5%
MMLU: 57.49 vs 88.3 (so35)-34.9%
TruthfulQA: 51.57 vs 59 (gpt4)-12.6%
WinoGrande: 79.48 vs 87.5 (gpt4)-9.2%
GSM8K: 16.07 vs 96.4 (so35)-83.3%
LLME Score: 0.15593
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Manticore 30B Chat Pyg Alpha Parameters and Internals

LLM NameManticore 30B Chat Pyg Alpha
Repository 🤗https://huggingface.co/openaccess-ai-collective/manticore-30b-chat-pyg-alpha 
Model Size30b
Required VRAM65.2 GB
Updated2024-09-16
Maintaineropenaccess-ai-collective
Model Typellama
Instruction-BasedYes
Model Files  9.8 GB: 1-of-7   10.0 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   10.0 GB: 6-of-7   5.7 GB: 7-of-7   9.8 GB: 1-of-7   10.0 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   10.0 GB: 6-of-7   5.7 GB: 7-of-7
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Model Max Length2048
Transformers Version4.28.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Manticore 30B Chat Pyg Alpha (openaccess-ai-collective/manticore-30b-chat-pyg-alpha)

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Note: green Score (e.g. "73.2") means that the model is better than openaccess-ai-collective/manticore-30b-chat-pyg-alpha.

Rank the Manticore 30B Chat Pyg Alpha 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
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