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Platypus 2 7B LaMini 14K by marcchew

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Platypus 2 7B LaMini 14K is an open-source language model by marcchew. Features: 7b LLM, VRAM: 7GB, Context: 4K, HF Score: 29.6, LLM Explorer Score: 0.15, Arc: 29.5, HellaSwag: 26.2, MMLU: 23.1, TruthfulQA: 48.3, WinoGrande: 50.8.

  8-bit   Bitsandbytes   Endpoints compatible   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/marcchew/Platypus-2-7B-LaMini-14K 

Platypus 2 7B LaMini 14K Benchmarks

ARC: 29.52 vs 96.7 (so35)-69.5%
HellaSwag: 26.15 vs 95.3 (gpt4)-72.6%
MMLU: 23.13 vs 88.3 (so35)-73.8%
TruthfulQA: 48.29 vs 59 (gpt4)-18.2%
WinoGrande: 50.75 vs 87.5 (gpt4)-42%
LLME Score: 0.14874
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Platypus 2 7B LaMini 14K (marcchew/Platypus-2-7B-LaMini-14K)
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Platypus 2 7B LaMini 14K Parameters and Internals

LLM NamePlatypus 2 7B LaMini 14K
Repository 🤗https://huggingface.co/marcchew/Platypus-2-7B-LaMini-14K 
Model Size7b
Required VRAM7 GB
Updated2026-03-29
Maintainermarcchew
Model Typellama
Model Files  7.0 GB
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than marcchew/Platypus-2-7B-LaMini-14K.

Rank the Platypus 2 7B LaMini 14K 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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