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Vicuna 160M by double7

 »  All LLMs  »  double7  »  Vicuna 160M   URL Share it on

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  Arxiv:2401.06706   Autotrain compatible Dataset:anon8231489123/sharegp...   En   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/double7/vicuna-160m 

Vicuna 160M Benchmarks

LLME Score: 0.1657
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 160M (double7/vicuna-160m)

Vicuna 160M Parameters and Internals

Model Type 
text generation
Additional Notes 
Developed mainly as a base Small Speculative Model in the MCSD paper.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
ShareGPT
Methodology:
Training setup follows the Vicuna suite
LLM NameVicuna 160M
Repository 🤗https://huggingface.co/double7/vicuna-160m 
Model Size160m
Required VRAM0.7 GB
Updated2025-02-05
Maintainerdouble7
Model Typellama
Model Files  0.7 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

Best Alternatives to Vicuna 160M

Best Alternatives
Context / RAM
Downloads
Likes
Llama 160M2K / 0 GB21469934
Llama 160M Chat V12K / 0.7 GB54419
Doctor Llama 160M2K / 0 GB180
TeenyTinyLlama Doc 160M2K / 0 GB100
Vicuna 160M2K / 0.7 GB151020
TeenyTinyLlama 160M2K / 0.7 GB13106
Onnx Llama 160M Chat V12K /  GB1801
Spider Llama 160M2K / 0.7 GB1270
Llama 160M Base2K / 0 GB220
Full Vicuna 160M2K / 0.7 GB1480
Note: green Score (e.g. "73.2") means that the model is better than double7/vicuna-160m.

Rank the Vicuna 160M Capabilities

🆘 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! 🌟

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 v20241227
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