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Llama 65B by huggyllama

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Llama 65B is an open-source language model by huggyllama. Features: 65b LLM, VRAM: 130.4GB, License: other, HF Score: 62.8, LLM Explorer Score: 0.14, Arc: 63.5, HellaSwag: 86.1, MMLU: 63.9, TruthfulQA: 43.4, WinoGrande: 82.6, GSM8K: 37.2.

  Deploy:azure   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/huggyllama/llama-65b 

Llama 65B Benchmarks

MMLU Pro: 23.08
GPQA: 3.47
MUSR: 1.97
BBH: 25.25
IFEval: 25.26 vs 88 (so35)-71.3%
ARC: 63.48 vs 96.7 (so35)-34.4%
HellaSwag: 86.09 vs 95.3 (gpt4)-9.7%
MMLU: 63.93 vs 88.3 (so35)-27.6%
TruthfulQA: 43.43 vs 59 (gpt4)-26.4%
WinoGrande: 82.56 vs 87.5 (gpt4)-5.6%
GSM8K: 37.23 vs 96.4 (so35)-61.4%
MATH Lvl 5: 3.1
LLME Score: 0.1397
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 65B (huggyllama/llama-65b)
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Llama 65B Parameters and Internals

Additional Notes 
Model weights intended for those who lost their copy or have trouble with format conversion, requiring prior access permission.
LLM NameLlama 65B
Repository 🤗https://huggingface.co/huggyllama/llama-65b 
Model Size65b
Required VRAM130.4 GB
Updated2026-03-29
Maintainerhuggyllama
Model Typellama
Model Files  9.9 GB: 1-of-14   9.7 GB: 2-of-14   9.7 GB: 3-of-14   9.7 GB: 4-of-14   9.7 GB: 5-of-14   9.7 GB: 6-of-14   9.7 GB: 7-of-14   9.7 GB: 8-of-14   9.7 GB: 9-of-14   9.7 GB: 10-of-14   9.7 GB: 11-of-14   9.7 GB: 12-of-14   9.7 GB: 13-of-14   4.1 GB: 14-of-14   9.9 GB: 1-of-14   9.7 GB: 2-of-14   9.7 GB: 3-of-14   9.7 GB: 4-of-14   9.7 GB: 5-of-14   9.7 GB: 6-of-14   9.7 GB: 7-of-14   9.7 GB: 8-of-14   9.7 GB: 9-of-14   9.7 GB: 10-of-14   9.7 GB: 11-of-14   9.7 GB: 12-of-14   9.7 GB: 13-of-14   4.1 GB: 14-of-14
Model ArchitectureLlamaForCausalLM
Licenseother
Model Max Length2048
Transformers Version4.28.0.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 huggyllama/llama-65b.

Rank the Llama 65B 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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