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Llama 13B by nonlinearshimada

 »  All LLMs  »  nonlinearshimada  »  Llama 13B   URL Share it on

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/nonlinearshimada/llama-13b 

Llama 13B Benchmarks

LLME Score: 0.09789
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 13B (nonlinearshimada/llama-13b)

Llama 13B Parameters and Internals

Model Type 
auto-regressive language model, transformer architecture
Use Cases 
Areas:
research, NLP exploratory tasks
Applications:
question answering, reading comprehension, natural language understanding
Primary Use Cases:
research on large language models, exploring potential applications
Limitations:
has not been trained with human feedback; can thus generate toxic or offensive content
Considerations:
Foundation model, should not be used on downstream applications without further risk evaluation and mitigation.
Supported Languages 
primary (English), others (Spanish, French, German, Dutch, Italian, Portuguese, Russian, Chinese, etc.)
Training Details 
Data Sources:
CCNet, C4, GitHub, Wikipedia, Books, ArXiv, Stack Exchange
Data Volume:
Approximately 1T tokens for smaller models, 1.4T tokens for larger models
Model Architecture:
Transformer
Responsible Ai Considerations 
Fairness:
Expected to reflect biases from sources due to internet data. Evaluated on RAI datasets for various biases.
Mitigation Strategies:
Filtered web data for proximity to Wikipedia with Kneser-Ney language model and fastText linear classifier.
LLM NameLlama 13B
Repository 🤗https://huggingface.co/nonlinearshimada/llama-13b 
Model Size13b
Required VRAM42 GB
Updated2025-01-20
Maintainernonlinearshimada
Model Typellama
Model Files  1.0 GB: 0-of-41   1.0 GB: 1-of-41   1.0 GB: 2-of-41   1.0 GB: 3-of-41   1.0 GB: 4-of-41   1.0 GB: 5-of-41   1.0 GB: 6-of-41   1.0 GB: 7-of-41   1.0 GB: 8-of-41   1.0 GB: 9-of-41   1.0 GB: 10-of-41   1.0 GB: 11-of-41   1.0 GB: 12-of-41   1.0 GB: 13-of-41   1.0 GB: 14-of-41   1.0 GB: 15-of-41   1.0 GB: 16-of-41   1.0 GB: 17-of-41   1.0 GB: 18-of-41   1.0 GB: 19-of-41   1.0 GB: 20-of-41   1.0 GB: 21-of-41   1.0 GB: 22-of-41   1.0 GB: 23-of-41   1.0 GB: 24-of-41   1.0 GB: 25-of-41   1.0 GB: 26-of-41   1.0 GB: 27-of-41   1.0 GB: 28-of-41   1.0 GB: 29-of-41   1.0 GB: 30-of-41   1.0 GB: 31-of-41   1.0 GB: 32-of-41   1.0 GB: 33-of-41   1.0 GB: 34-of-41   1.0 GB: 35-of-41   1.0 GB: 36-of-41   1.0 GB: 37-of-41   1.0 GB: 38-of-41   1.0 GB: 39-of-41   1.0 GB: 40-of-41   1.0 GB: 41-of-41
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 nonlinearshimada/llama-13b.

Rank the Llama 13B 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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