TeenyTinyLlama 460M by nicholasKluge

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  Arxiv:2401.16640   Autotrain compatible   Co2 eq emissions Dataset:nicholaskluge/pt-corpu...   Endpoints compatible   Instruct   Jax   Llama   Model-index   Pt   Pytorch   Region:us   Safetensors

TeenyTinyLlama 460M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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TeenyTinyLlama 460M Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research
Primary Use Cases:
Developing language models for low-resource languages
Limitations:
Not suitable for human-facing interactions, Not intended for deployment, Limited to Brazilian Portuguese
Considerations:
Users should conduct risk and bias assessment before any real-world application
Additional Notes 
Pre-trained model released under Apache 2.0; comprehensive evaluations available.
Supported Languages 
Portuguese (high)
Training Details 
Data Sources:
Pt-Corpus Instruct (6.2B tokens)
Data Volume:
6.2B tokens
Methodology:
Transformer-based model pre-trained via causal language modeling
Context Length:
2048
Training Time:
~ 280 hours
Hardware Used:
1 NVIDIA A100-SXM4-40GB
Model Architecture:
Transformer
Input Output 
Input Format:
Tokenizer input as text for generation
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Review repetition penalty settings to avoid verbosity and repetition
LLM NameTeenyTinyLlama 460M
Repository ๐Ÿค—https://huggingface.co/nicholasKluge/TeenyTinyLlama-460m 
Model Size460m
Required VRAM1.9 GB
Updated2025-06-09
MaintainernicholasKluge
Model Typellama
Instruction-BasedYes
Model Files  1.9 GB   3.8 GB   1.9 GB   0.0 GB
Supported Languagespt
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32000
Torch Data Typebfloat16
TeenyTinyLlama 460M (nicholasKluge/TeenyTinyLlama-460m)

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VRAM
TeenyTinyLlama 460M AWQ1510 GB
TeenyTinyLlama 460M Chat AWQ1260 GB

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Rank the TeenyTinyLlama 460M 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 v20241124