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Llama 30B Instruct 2048 by upstage

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  Autotrain compatible   Dataset:gair/lima Dataset:metaeval/scienceqa tex...   Dataset:open-orca/openorca   Dataset:openbookqa   Dataset:sciq   En   Endpoints compatible   Instruct   Instruction   Llama   Pytorch   Region:us   Sharded   Upstage
Model Card on HF 🤗: https://huggingface.co/upstage/llama-30b-instruct-2048 

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: 0.16746
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 (upstage/llama-30b-instruct-2048)

Llama 30B Instruct 2048 Parameters and Internals

Model Type 
text generation
Supported Languages 
en (native)
Training Details 
Data Sources:
sciq, metaeval/ScienceQA_text_only, GAIR/lima, Open-Orca/OpenOrca, openbookqa
Context Length:
2048
Hardware Used:
A100x8 * 1
Input Output 
Input Format:
up to 10k+ input tokens
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Utilize `rope_scaling` option for longer inputs.
LLM NameLlama 30B Instruct 2048
Repository 🤗https://huggingface.co/upstage/llama-30b-instruct-2048 
Model Size30b
Required VRAM65.2 GB
Updated2025-02-22
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

Quantized Models of the Llama 30B Instruct 2048

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VRAM
...e Llama 30B Instruct 2048 GGUF430313 GB
...ge Llama 30B Instruct 2048 AWQ21717 GB
...e Llama 30B Instruct 2048 GPTQ239316 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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Release v20241227
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