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TinyLLama V0 by Maykeye

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Maykeye/TinyLLama-v0 

TinyLLama V0 Benchmarks

LLME Score: 0.21969
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyLLama V0 (Maykeye/TinyLLama-v0)

TinyLLama V0 Parameters and Internals

Model Type 
Causal Language Model
Additional Notes 
Extremely PoC version with simplified training and caching mechanics. Backup and validation scripts provided. Training data constraints exist due to context length handling.
Training Details 
Data Sources:
TinyStoriesV2-GPT4-train.txt, TinyStoriesV2-GPT4-valid.txt
Methodology:
Training truncates stories longer than context size without sliding window. Uses open_llama_3b tokenizer.
Training Time:
9 hours total, 3 hours per epoch
Hardware Used:
40GB A100 GPU with ~30GB VRAM
Model Architecture:
Llama
Release Notes 
Version:
1.0
Notes:
First version PoC with basic function to train and validate with specified dataset files.
LLM NameTinyLLama V0
Repository 🤗https://huggingface.co/Maykeye/TinyLLama-v0 
Model Size4.6m
Required VRAM0 GB
Updated2024-12-21
MaintainerMaykeye
Model Typellama
Model Files  0.0 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the TinyLLama V0 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 v20241217
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