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Vicuna 13B V1.5 16K by lmsys

 »  All LLMs  »  lmsys  »  Vicuna 13B V1.5 16K   URL Share it on

  27734   
  Arxiv:2306.05685   Arxiv:2307.09288   Autotrain compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/lmsys/vicuna-13b-v1.5-16k 

Vicuna 13B V1.5 16K Benchmarks

ARC: 80.4 vs 96.7 (so35)-16.9%
HellaSwag: 76 vs 95.3 (gpt4)-20.3%
MMLU: 55.7 vs 88.3 (so35)-36.9%
TruthfulQA: 51.96 vs 59 (gpt4)-11.9%
WinoGrande: 72.38 vs 87.5 (gpt4)-17.3%
GSM8K: 37.4 vs 96.4 (so35)-61.2%
OpenCompas: 51.6 vs 73.3 (gpt4)-29.6%
Exam: 59.2 vs 77.2 (gpt4)-23.3%
Language: 36.8 vs 62 (gpt4)-40.6%
Knowledge: 58 vs 73.5 (gpt4)-21.1%
Understand: 65 vs 70 (gpt4)-7.1%
Reasoning: 47 vs 74.4 (gpt4)-36.8%
LLME Score: 0.18725
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 13B V1.5 16K (lmsys/vicuna-13b-v1.5-16k)
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Vicuna 13B V1.5 16K Parameters and Internals

Model Type 
Auto-regressive language model
Use Cases 
Areas:
Research on large language models and chatbots
Training Details 
Data Sources:
ShareGPT
Data Volume:
125K conversations
Methodology:
Supervised instruction fine-tuning and linear RoPE scaling
Context Length:
16000
Model Architecture:
Transformer architecture
LLM NameVicuna 13B V1.5 16K
Repository 🤗https://huggingface.co/lmsys/vicuna-13b-v1.5-16k 
Model Size13b
Required VRAM26 GB
Updated2025-09-23
Maintainerlmsys
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Vicuna 13B V1.5 16K

Model
Likes
Downloads
VRAM
Vicuna 13B V1.5 16K GGUF438185 GB
Vicuna 13B V1.5 16K AWQ177 GB
Vicuna 13B V1.5 16K GGML6365 GB
Vicuna 13B V1.5 16K GPTQ33147 GB

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Rank the Vicuna 13B V1.5 16K 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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