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Llama2.c Stories15M by Xenova

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Llama2.c Stories15M is an open-source language model by Xenova. Features: 15.2m LLM, VRAM: 0.1GB, Context: 0.3K, LLM Explorer Score: 0.11.

  Endpoints compatible   Llama   Onnx   Pytorch   Region:us   Safetensors   Transformers.js
Model Card on HF 🤗: https://huggingface.co/Xenova/llama2.c-stories15M 

Llama2.c Stories15M Benchmarks

LLME Score: 0.10955
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)
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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 🤗https://huggingface.co/Xenova/llama2.c-stories15M 
Model Size15.2m
Required VRAM0.1 GB
Updated2026-05-20
MaintainerXenova
Model Typellama
Model Files  0.1 GB   0.1 GB
Model ArchitectureLlamaForCausalLM
Context Length256
Model Max Length256
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000

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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