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Vicuna 7B V1.5 by taesunwhang

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

  7   
  Arxiv:2306.05685   Arxiv:2307.09288   Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/taesunwhang/vicuna-7b-v1.5 

Vicuna 7B V1.5 Benchmarks

LLME Score: 0.19033
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 (taesunwhang/vicuna-7b-v1.5)

Vicuna 7B V1.5 Parameters and Internals

Model Type 
auto-regressive language model, transformer architecture
Training Details 
Data Sources:
user-shared conversations collected from ShareGPT
Methodology:
fine-tuning
LLM NameVicuna 7B V1.5
Repository 🤗https://huggingface.co/taesunwhang/vicuna-7b-v1.5 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
Maintainertaesunwhang
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than taesunwhang/vicuna-7b-v1.5.

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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