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Tiny Vicuna 1B by Jiayi-Pan

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  Autotrain compatible   En   Endpoints compatible   Llama   Model-index   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Jiayi-Pan/Tiny-Vicuna-1B 

Tiny Vicuna 1B Benchmarks

ARC: 33.45 vs 96.7 (so35)-65.4%
HellaSwag: 55.92 vs 95.3 (gpt4)-41.3%
MMLU: 25.45 vs 88.3 (so35)-71.2%
TruthfulQA: 33.82 vs 59 (gpt4)-42.7%
WinoGrande: 58.41 vs 87.5 (gpt4)-33.2%
GSM8K: 1.52 vs 96.4 (so35)-98.4%
LLME Score: 0.18091
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tiny Vicuna 1B (Jiayi-Pan/Tiny-Vicuna-1B)
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Tiny Vicuna 1B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is fully compatible with Vicuna-v1.5 series and is designed for easy iteration during early experiments.
LLM NameTiny Vicuna 1B
Repository 🤗https://huggingface.co/Jiayi-Pan/Tiny-Vicuna-1B 
Model Size1b
Required VRAM4.4 GB
Updated2025-09-23
MaintainerJiayi-Pan
Model Typellama
Model Files  4.4 GB   4.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Jiayi-Pan/Tiny-Vicuna-1B.

Rank the Tiny Vicuna 1B 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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Release v20241124
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