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LLaMA 65B HF by boboto

 »  All LLMs  »  boboto  »  LLaMA 65B HF   URL Share it on

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/boboto/LLaMA-65B-HF 

LLaMA 65B HF Benchmarks

LLME Score: 0.07245
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMA 65B HF (boboto/LLaMA-65B-HF)
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LLaMA 65B HF Parameters and Internals

Model Type 
auto-regressive language model
Use Cases 
Areas:
research on large language models
Primary Use Cases:
question answering, natural language understanding, reading comprehension
Limitations:
generation of misinformation, generation of harmful, biased or offensive content
Considerations:
The model is for research purposes and not recommended for use in downstream applications without further evaluations.
Supported Languages 
bg (unknown), ca (unknown), cs (unknown), da (unknown), de (unknown), en (unknown), es (unknown), fr (unknown), hr (unknown), hu (unknown), it (unknown), nl (unknown), pl (unknown), pt (unknown), ro (unknown), ru (unknown), sl (unknown), sr (unknown), sv (unknown), uk (unknown)
Training Details 
Data Sources:
CCNet, C4, GitHub, Wikipedia, Books, ArXiv, Stack Exchange
Methodology:
transformer architecture
Training Time:
between Dec. 2022 and Feb. 2023
Responsible Ai Considerations 
Fairness:
Biases have been evaluated.
Mitigation Strategies:
Filtered the data from the Web based on its proximity to Wikipedia. Used Kneser-Ney language model and fastText linear classifier.
LLM NameLLaMA 65B HF
Repository 🤗https://huggingface.co/boboto/LLaMA-65B-HF 
Model Size65b
Required VRAM73.6 GB
Updated2025-09-14
Maintainerboboto
Model Typellama
Model Files  1.6 GB: 0-of-81   1.6 GB: 1-of-81   1.6 GB: 2-of-81   1.6 GB: 3-of-81   1.6 GB: 4-of-81   1.6 GB: 5-of-81   1.6 GB: 6-of-81   1.6 GB: 7-of-81   1.6 GB: 8-of-81   1.6 GB: 9-of-81   1.6 GB: 10-of-81   1.6 GB: 11-of-81   1.6 GB: 12-of-81   1.6 GB: 13-of-81   1.6 GB: 14-of-81   1.6 GB: 15-of-81   1.6 GB: 16-of-81   1.6 GB: 17-of-81   1.6 GB: 18-of-81   1.6 GB: 19-of-81   1.6 GB: 20-of-81   1.6 GB: 21-of-81   1.6 GB: 22-of-81   1.6 GB: 23-of-81   1.6 GB: 24-of-81   1.6 GB: 25-of-81   1.6 GB: 26-of-81   1.6 GB: 27-of-81   1.6 GB: 28-of-81   1.6 GB: 29-of-81   1.6 GB: 30-of-81   1.6 GB: 31-of-81   1.6 GB: 32-of-81   1.6 GB: 33-of-81   1.6 GB: 34-of-81   1.6 GB: 35-of-81   1.6 GB: 36-of-81   1.6 GB: 37-of-81   1.6 GB: 38-of-81   1.6 GB: 39-of-81   1.6 GB: 40-of-81   1.6 GB: 41-of-81   1.6 GB: 42-of-81   1.6 GB: 43-of-81   1.6 GB: 44-of-81   1.6 GB: 45-of-81
Model ArchitectureLLaMAForCausalLM
Licenseother
Transformers Version4.27.0.dev0
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than boboto/LLaMA-65B-HF.

Rank the LLaMA 65B HF 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 v20241124
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