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Vicuna 160M by eqhylxx

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

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Vicuna 160M is an open-source language model by eqhylxx. Features: 160m LLM, VRAM: 0.7GB, Context: 2K, LLM Explorer Score: 0.1.

  Endpoints compatible   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/eqhylxx/vicuna-160m 

Vicuna 160M Benchmarks

LLME Score: 0.09554
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 160M (eqhylxx/vicuna-160m)
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Vicuna 160M Parameters and Internals

LLM NameVicuna 160M
Repository 🤗https://huggingface.co/eqhylxx/vicuna-160m 
Model Size160m
Required VRAM0.7 GB
Updated2026-05-18
Maintainereqhylxx
Model Typellama
Model Files  0.7 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

Best Alternatives to Vicuna 160M

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Context / RAM
Downloads
Likes
Llama 160M2K / 0 GB13962937
Mergekit Passthrough Jvjpjlj2K / 0.4 GB60
Tucano 160M2K / 0.3 GB13634
Llama 160M Chat V12K / 0.7 GB15020
Doctor Llama 160M2K / 0 GB190
TeenyTinyLlama Doc 160M2K / 0 GB100
Vicuna 160M2K / 0.7 GB9942
TeenyTinyLlama 160M2K / 0.7 GB8917
Onnx Llama 160M Chat V12K /  GB71
Llama 160M Base2K / 0 GB360
Note: green Score (e.g. "73.2") means that the model is better than eqhylxx/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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