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Gaodrew Llama 30B Instruct 2048 Open Platypus 100steps by gaodrew

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Gaodrew Llama 30B Instruct 2048 Open Platypus 100steps is an open-source language model by gaodrew. Features: 30b LLM, VRAM: 65.2GB, Context: 2K, Instruction-Based, LLM Explorer Score: 0.11, Arc: 61.5, HellaSwag: 84.1, MMLU: 60.2, GSM8K: 17.7.

  Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/gaodrew/gaodrew-llama-30b-instruct-2048-Open-Platypus-100steps 

Gaodrew Llama 30B Instruct 2048 Open Platypus 100steps Benchmarks

ARC: 61.52 vs 96.7 (so35)-36.4%
HellaSwag: 84.06 vs 95.3 (gpt4)-11.8%
MMLU: 60.23 vs 88.3 (so35)-31.8%
GSM8K: 17.66 vs 96.4 (so35)-81.7%
LLME Score: 0.11247
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gaodrew Llama 30B Instruct 2048 Open Platypus 100steps (gaodrew/gaodrew-llama-30b-instruct-2048-Open-Platypus-100steps)
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Gaodrew Llama 30B Instruct 2048 Open Platypus 100steps Parameters and Internals

LLM NameGaodrew Llama 30B Instruct 2048 Open Platypus 100steps
Repository 🤗https://huggingface.co/gaodrew/gaodrew-llama-30b-instruct-2048-Open-Platypus-100steps 
Model Size30b
Required VRAM65.2 GB
Updated2026-06-06
Maintainergaodrew
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
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.31.0
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 gaodrew/gaodrew-llama-30b-instruct-2048-Open-Platypus-100steps.

Rank the Gaodrew Llama 30B Instruct 2048 Open Platypus 100steps 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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Multi-Language Support and Translation  

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