Llama2.c Stories15M by Xenova

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Llama2.c Stories15M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2.c Stories15M (Xenova/llama2.c-stories15M)

Llama2.c Stories15M Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
text generation
Applications:
story generation, creative writing
Primary Use Cases:
Generate creative writing pieces
Supported Languages 
primary_language (English), proficiency (high)
Training Details 
Context Length:
2048
Model Architecture:
transformer
Input Output 
Input Format:
string
Accepted Modalities:
text
Output Format:
generated_text
Performance Tips:
Ensure a good internet connection for downloading model weights.
LLM NameLlama2.c Stories15M
Repository ๐Ÿค—https://huggingface.co/Xenova/llama2.c-stories15M 
Required VRAM0.1 GB
Updated2025-01-23
MaintainerXenova
Model Typellama
Model Files  0.1 GB
Model ArchitectureLlamaForCausalLM
Context Length256
Model Max Length256
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000

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Note: green Score (e.g. "73.2") means that the model is better than Xenova/llama2.c-stories15M.

Rank the Llama2.c Stories15M 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227