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Upstage Llama 30B Instruct 2048 GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:quantized:upstage/l... Base model:upstage/llama-30b-i...   Dataset:gair/lima Dataset:metaeval/scienceqa tex...   Dataset:open-orca/openorca   Dataset:openbookqa   Dataset:sciq   En   Gptq   Instruct   Instruction   Llama   Quantized   Region:us   Safetensors   Upstage

Upstage Llama 30B Instruct 2048 GPTQ Benchmarks

LLME Score: 0.13922
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Upstage Llama 30B Instruct 2048 GPTQ Parameters and Internals

LLM NameUpstage Llama 30B Instruct 2048 GPTQ
Repository 🤗https://huggingface.co/TheBloke/upstage-llama-30b-instruct-2048-GPTQ 
Model NameLlama 30B Instruct 2048
Model Creatorupstage
Base Model(s)  Llama 30B Instruct 2048   upstage/llama-30b-instruct-2048
Model Size30b
Required VRAM16.9 GB
Updated2024-09-16
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  16.9 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
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
Upstage Llama 30B Instruct 2048 GPTQ (TheBloke/upstage-llama-30b-instruct-2048-GPTQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/upstage-llama-30b-instruct-2048-GPTQ.

Rank the Upstage Llama 30B Instruct 2048 GPTQ 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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