Tinyllama Cpt by atharvanighot

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Tinyllama Cpt Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tinyllama Cpt (atharvanighot/tinyllama-cpt)
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Tinyllama Cpt Parameters and Internals

LLM NameTinyllama Cpt
Repository ๐Ÿค—https://huggingface.co/atharvanighot/tinyllama-cpt 
Required VRAM0.5 GB
Updated2025-06-20
Maintaineratharvanighot
Model Files  0.5 GB   4.8 GB
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|up_proj|q_proj|o_proj|k_proj|down_proj|gate_proj
LoRA Alpha32
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than atharvanighot/tinyllama-cpt.

Rank the Tinyllama Cpt 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