Vicuna 68M by double7

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  Arxiv:2401.06706   Autotrain compatible Dataset:anon8231489123/sharegp...   En   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/double7/vicuna-68m 

Vicuna 68M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 68M (double7/vicuna-68m)

Vicuna 68M Parameters and Internals

Model Type 
text generation
Additional Notes 
Compared and aligned to Vicuna and LLaMA models.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
ShareGPT_Vicuna_unfiltered
Methodology:
Fine-tuning
Model Architecture:
Vicuna-like from LLaMA-68m
LLM NameVicuna 68M
Repository ๐Ÿค—https://huggingface.co/double7/vicuna-68m 
Model Size68m
Required VRAM0.3 GB
Updated2025-02-22
Maintainerdouble7
Model Typellama
Model Files  0.3 GB   0.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.37.0.dev0
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 double7/vicuna-68m.

Rank the Vicuna 68M 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