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Manticore 30B Chat Pyg Alpha Landmark by Honkware

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  Autotrain compatible   Custom code   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Manticore 30B Chat Pyg Alpha Landmark Benchmarks

LLME Score: 0.12834
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 Landmark Parameters and Internals

LLM NameManticore 30B Chat Pyg Alpha Landmark
Repository 🤗https://huggingface.co/Honkware/Manticore-30b-Chat-Pyg-Alpha-Landmark 
Model Size30b
Required VRAM65.2 GB
Updated2024-09-07
MaintainerHonkware
Model Typellama
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
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32002
Torch Data Typefloat16
Manticore 30B Chat Pyg Alpha Landmark (Honkware/Manticore-30b-Chat-Pyg-Alpha-Landmark)

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Note: green Score (e.g. "73.2") means that the model is better than Honkware/Manticore-30b-Chat-Pyg-Alpha-Landmark.

Rank the Manticore 30B Chat Pyg Alpha Landmark 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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