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Vicuna 7B V1.5 by lmsys

 »  All LLMs  »  lmsys  »  Vicuna 7B V1.5   URL Share it on

  275714   
  Arxiv:2306.05685   Arxiv:2307.09288   Autotrain compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/lmsys/vicuna-7b-v1.5 

Vicuna 7B V1.5 Benchmarks

LMSys ELO: 1005 vs 1272 (so35)-21%
MMLU Pro: 12.74
GPQA: 1.12
MUSR: 11.42
BBH: 15.15
IFEval: 23.52 vs 88 (so35)-73.3%
ARC: 74.1 vs 96.7 (so35)-23.4%
HellaSwag: 72.3 vs 95.3 (gpt4)-24.1%
MMLU: 51 vs 88.3 (so35)-42.2%
TruthfulQA: 50.33 vs 59 (gpt4)-14.7%
WinoGrande: 72.06 vs 87.5 (gpt4)-17.6%
GSM8K: 23.7 vs 96.4 (so35)-75.4%
OpenCompas: 47.1 vs 73.3 (gpt4)-35.7%
Exam: 53 vs 77.2 (gpt4)-31.3%
Language: 35.9 vs 62 (gpt4)-42.1%
Knowledge: 51.8 vs 73.5 (gpt4)-29.5%
Understand: 62.1 vs 70 (gpt4)-11.3%
Reasoning: 41.9 vs 74.4 (gpt4)-43.7%
MATH Lvl 5: 1.36
LLME Score: 0.33417
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 7B V1.5 (lmsys/vicuna-7b-v1.5)

Vicuna 7B V1.5 Parameters and Internals

Model Type 
auto-regressive language model based on the transformer architecture
Use Cases 
Primary Use Cases:
research on large language models and chatbots
Training Details 
Data Sources:
conversations collected from ShareGPT
Data Volume:
125K conversations
Methodology:
supervised instruction fine-tuning
LLM NameVicuna 7B V1.5
Repository 🤗https://huggingface.co/lmsys/vicuna-7b-v1.5 
Model Size7b
Required VRAM13.5 GB
Updated2025-03-13
Maintainerlmsys
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
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 7B V1.5

Model
Likes
Downloads
VRAM
Vicuna 7B V1.5 GGUF1610322 GB
Vicuna 7B V1.5 AWQ41133 GB
Vicuna 7B V1.5 GPTQ151633 GB
Vicuna 7B V1.5 GGML14112 GB

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Rank the Vicuna 7B V1.5 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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Release v20241227
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