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Platypus 30B SuperHOT 8K Fp16 by TheBloke

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  Autotrain compatible   Custom code   Ext 8k   Fp16   Llama   Pytorch   Quantized   Region:us   Sharded

Platypus 30B SuperHOT 8K Fp16 Benchmarks

LLME Score: 0.14573
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Platypus 30B SuperHOT 8K Fp16 Parameters and Internals

LLM NamePlatypus 30B SuperHOT 8K Fp16
Repository 🤗https://huggingface.co/TheBloke/Platypus-30B-SuperHOT-8K-fp16 
Model Size30b
Required VRAM65.2 GB
Updated2024-09-07
MaintainerTheBloke
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
Context Length8k
Quantization Typefp16
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.30.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Platypus 30B SuperHOT 8K Fp16 (TheBloke/Platypus-30B-SuperHOT-8K-fp16)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Platypus-30B-SuperHOT-8K-fp16.

Rank the Platypus 30B SuperHOT 8K Fp16 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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