Vicuna 13B by helloollel

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/helloollel/vicuna-13b 

Vicuna 13B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 13B (helloollel/vicuna-13b)
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Vicuna 13B Parameters and Internals

Model Type 
text generation
Additional Notes 
The setup includes using the FastChat application with dependencies such as accelerate and bitsandbytes. Installation instructions are provided for setting up the environment using pip and git.
LLM NameVicuna 13B
Repository ๐Ÿค—https://huggingface.co/helloollel/vicuna-13b 
Model Size13b
Required VRAM26.3 GB
Updated2025-09-13
Maintainerhelloollel
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.5 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.29.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than helloollel/vicuna-13b.

Rank the Vicuna 13B Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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