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Llama 30B Instruct 2048 by upstage

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Llama 30B Instruct 2048 Benchmarks

ARC: 64.93 vs 96.7 (so35)-32.9%
HellaSwag: 84.94 vs 95.3 (gpt4)-10.9%
MMLU: 61.9 vs 88.3 (so35)-29.9%
TruthfulQA: 56.3 vs 59 (gpt4)-4.6%
WinoGrande: 79.56 vs 87.5 (gpt4)-9.1%
GSM8K: 17.82 vs 96.4 (so35)-81.5%
LLME Score: 0.19552
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 30B Instruct 2048 Parameters and Internals

LLM NameLlama 30B Instruct 2048
Repository 🤗https://huggingface.co/upstage/llama-30b-instruct-2048 
Model Size30b
Required VRAM65.2 GB
Updated2024-09-07
Maintainerupstage
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
Supported Languagesen
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 Size32000
Torch Data Typebfloat16
Llama 30B Instruct 2048 (upstage/llama-30b-instruct-2048)

Quantized Models of the Llama 30B Instruct 2048

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VRAM
...e Llama 30B Instruct 2048 GGUF427813 GB
...ge Llama 30B Instruct 2048 AWQ22017 GB
...e Llama 30B Instruct 2048 GPTQ232716 GB

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Rank the Llama 30B Instruct 2048 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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