Vicuna 1822 by horangwave

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  Merged Model   Autotrain compatible Base model:finetune:lmsys/vicu... Base model:lmsys/vicuna-7b-v1....   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/horangwave/vicuna_1822 

Vicuna 1822 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 1822 (horangwave/vicuna_1822)

Vicuna 1822 Parameters and Internals

Additional Notes 
This model was created by merging pre-trained language models using the passthrough merge method with mergekit.
LLM NameVicuna 1822
Repository ๐Ÿค—https://huggingface.co/horangwave/vicuna_1822 
Base Model(s)  lmsys/vicuna-7b-v1.3   lmsys/vicuna-7b-v1.3
Merged ModelYes
Model Size7b
Required VRAM10.3 GB
Updated2025-02-05
Maintainerhorangwave
Model Typellama
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   0.3 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than horangwave/vicuna_1822.

Rank the Vicuna 1822 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 v20241227