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LLaMA 33B HF by alexl83

 »  All LLMs  »  alexl83  »  LLaMA 33B HF   URL Share it on

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  Autotrain compatible   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/alexl83/LLaMA-33B-HF 

LLaMA 33B HF Benchmarks

LLME Score: 0.08065
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMA 33B HF (alexl83/LLaMA-33B-HF)
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LLaMA 33B HF Parameters and Internals

Model Type 
auto-regressive language model
Use Cases 
Areas:
research
Applications:
large language models exploration
Primary Use Cases:
question answering, natural language understanding, reading comprehension
Limitations:
not trained with human feedback, may generate toxic or offensive content
Supported Languages 
en (high proficiency), bg (low proficiency), ca (low proficiency), cs (low proficiency), da (low proficiency), de (low proficiency), es (low proficiency), fr (low proficiency), hr (low proficiency), hu (low proficiency), it (low proficiency), nl (low proficiency), pl (low proficiency), pt (low proficiency), ro (low proficiency), ru (low proficiency), sl (low proficiency), sr (low proficiency), sv (low proficiency), uk (low proficiency)
Training Details 
Data Sources:
CCNet, C4, GitHub, Wikipedia, Books, ArXiv, Stack Exchange
Model Architecture:
transformer
Responsible Ai Considerations 
Fairness:
The model is not intended to inform decisions about matters central to human life. We filtered the data from the Web based on its proximity to Wikipedia text and references.
Mitigation Strategies:
Filtered Web data based on proximity to Wikipedia using a Kneser-Ney language model and a fastText linear classifier.
LLM NameLLaMA 33B HF
Repository 🤗https://huggingface.co/alexl83/LLaMA-33B-HF 
Model Size33b
Required VRAM65.4 GB
Updated2025-08-18
Maintaineralexl83
Model Typellama
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   5.9 GB: 7-of-7
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than alexl83/LLaMA-33B-HF.

Rank the LLaMA 33B 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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