Vicuna LLM

This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these messages)

The topic of this article may not meet Wikipedia's general notability guideline. Please help demonstrate the notability of the topic by citing reliable secondary sources that are independent of the topic and provide significant coverage of it beyond a mere trivial mention. If notability cannot be shown, the article is likely to be merged, redirected, or deleted.
Find sources: "Vicuna LLM" – news · newspapers · books · scholar · JSTOR (April 2026) (Learn how and when to remove this message)

This article relies excessively on references to primary sources. Please improve this article by adding secondary or tertiary sources.
Find sources: "Vicuna LLM" – news · newspapers · books · scholar · JSTOR (April 2026) (Learn how and when to remove this message)

(Learn how and when to remove this message)

Machine learning and data mining
Part of a series on
Paradigms Supervised learning Unsupervised learning Semi-supervised learning Self-supervised learning Reinforcement learning Transfer learning Meta-learning Few-shot learning Zero-shot learning Online learning Batch learning Curriculum learning Rule-based learning Neuro-symbolic AI Neuromorphic engineering Quantum machine learning
Problems Classification Generative modeling Regression Clustering Dimensionality reduction Density estimation Anomaly detection Data cleaning AutoML Association rules Semantic analysis Structured prediction Feature engineering Feature learning Learning to rank Grammar induction Ontology learning Multimodal learning
Supervised learning (classification • regression) Apprenticeship learning Decision trees Ensembles Bagging Boosting Random forest k-NN Linear regression Naive Bayes Artificial neural networks Logistic regression Perceptron Relevance vector machine (RVM) Support vector machine (SVM)
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift
Dimensionality reduction Factor analysis Exploratory CCA ICA LDA NMF PCA PGD t-SNE SDL
Structured prediction Graphical models Bayes net Conditional random field Hidden Markov
Anomaly detection RANSAC k-NN Local outlier factor Isolation forest
Neural networks Autoencoder Deep learning Feedforward neural network Recurrent neural network LSTM GRU ESN reservoir computing Boltzmann machine Restricted GAN Diffusion model SOM Convolutional neural network U-Net LeNet AlexNet DeepDream Neural field Neural radiance field Physics-informed neural networks Transformer Vision Mamba Spiking neural network Memtransistor Electrochemical RAM (ECRAM)
Reinforcement learning Q-learning Policy gradient SARSA Temporal difference (TD) Multi-agent Self-play
Learning with humans Active learning Crowdsourcing Human-in-the-loop Mechanistic interpretability RLHF
Model diagnostics Coefficient of determination Confusion matrix Learning curve ROC curve
Mathematical foundations Kernel machines Bias–variance tradeoff Computational learning theory Empirical risk minimization Occam learning PAC learning Statistical learning VC theory Topological deep learning
Journals and conferences AAAI CVPR ECCV ECML PKDD EMNLP ICCV NeurIPS ICML ICLR IJCAI ML JMLR
Related articles Glossary of artificial intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning
v t e

Vicuna LLM is a large language model (LLM) released by LMSYS. Based on Llama 2, it is an open source project, that has been used in AI research. A non-commercial, public demo of the Vicuna-13b model is available to access using LMSYS.

The methodology of LMSYS's Chatbot Arena is to enable the public at large to contrast and compare the accuracy of LLMs "in the wild" (an example of citizen science) and to vote on their output; a question-and-answer chat format is used. At the beginning of each round two LLM chatbots from a diverse pool of nine are presented randomly and anonymously, their identities only being revealed upon voting on their answers. The user has the option of either replaying ("regenerating") a round, or beginning an entirely fresh one with new LLMs. (The user also has the option of choosing which LLMs to do battle.)^[relevant?]

References

↑ "Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality | LMSYS Org". lmsys.org. 30 March 2023.
↑ "lmsys/vicuna-13b-v1.5 · Hugging Face". huggingface.co. 18 July 2023.
↑ "The LLM Index: Vicuna | Sapling". sapling.ai.
↑ "FastChat". October 29, 2023 – via GitHub.
↑ "How to Train and Deploy Vicuna and FastChat LLMs | Width.ai". www.width.ai.
↑ Peng, Baolin; Li, Chunyuan; He, Pengcheng; Galley, Michel; Gao, Jianfeng (2023). "Instruction Tuning with GPT-4". arXiv:2304.03277 [cs.CL].
↑ Zheng, Lianmin; Chiang, Wei-Lin; Sheng, Ying; Zhuang, Siyuan; Wu, Zhanghao; Zhuang, Yonghao; Lin, Zi; Li, Zhuohan; Li, Dacheng; Xing, Eric P.; Zhang, Hao; Gonzalez, Joseph E.; Stoica, Ion (2023). "Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena". arXiv:2306.05685 [cs.CL].
↑ "Vicuna - Open-Source AI Chatbot".
↑ "Vicuna LLM Commercially Available, New v1.5 Update Improves Context Length".

External links

Test bed

v t e Large language models (LLMs)
List of LLMs AI Companies Benchmarks List of chatbots Foundation model Generative AI
Concepts	Language model NLP NLG Computational linguistics Foundation model Small language model Reasoning model Generative pre-trained transformer Transformer Attention KV cache Context window Tokenization Word embedding Parameter Hyperparameter Autoregression Mixture of experts (MoE) Inference Model compression Knowledge distillation Speculative decoding PagedAttention Neural scaling law Multimodality Open weights
Training, prompting, and alignment	Self-supervised learning Supervised learning Fine-tuning Instruction tuning RLHF Constitutional AI AI alignment AI safety Mechanistic interpretability Prompt engineering In-context learning Chain-of-thought prompting RAG Prompt injection Adversarial machine learning Hallucination Stochastic parrot Glitch token Generative engine optimization
Models	Apertus BERT BLOOM Chinchilla Claude DBRX DeepSeek-LLM Gemini Gemma GloVe GLM GPT GPT-J PanGu Granite Hy Inkling Jais LaMDA Laguna S Llama MiMo Minerva Mistral and Mixtral Muse Spark Muse Glimmer Nemotron PaLM Phi Qwen Seq2seq T5 Vicuna Word2vec XLNet
Chatbots and assistants	Amazon Q ChatGPT Character.ai Claude Claude Code DeepSeek Doubao Ernie Bot Gemini Grok Kimi Kimi Code Lumo Microsoft Copilot Meta AI Perplexity AI Sparrow You.com
Agents, coding, and applications	AI agent Intelligent agent AutoGPT CrewAI LangChain Manus Model Context Protocol Agent2Agent OpenAI Codex Vibe coding Code generation Question answering Machine translation Text summarization Chatbot Virtual assistant
Software	PyTorch TensorFlow Hugging Face llama.cpp LM Studio Ollama SGLang TensorRT-LLM vLLM ONNX OpenVINO Vector database ChromaDB Deep learning software Open-source AI software
Hardware and infrastructure	AI data center CUDA GPU High Bandwidth Memory Neural processing unit TPU
Benchmarks, evaluation, and detection	Language model benchmark MMLU Humanity's Last Exam LMArena LLM-as-a-Judge Perplexity metric GPTZero Artificial intelligence content detection Undetectable.ai
Datasets and data	Data set Text corpus Common Crawl The Pile Web scraping Synthetic data Training, validation, and test data sets
Organizations	AI21 Labs Alibaba Anthropic Baidu Cohere DeepSeek EleutherAI Google DeepMind Hugging Face Meta AI Microsoft AI Mistral AI MiniMax Moonshot AI Nvidia OpenAI OpenRouter Sarvam AI StepFun Technology Innovation Institute Thinking Machines Lab xAI
People	Sam Altman Dario Amodei Yoshua Bengio Aidan Gomez Demis Hassabis Geoffrey Hinton Andrej Karpathy Yann LeCun Percy Liang Liang Wenfeng Christopher D. Manning Arthur Mensch Mira Murati Alec Radford Noam Shazeer Ilya Sutskever Ashish Vaswani Andrew Ng
Social, economic, and governance	AI anthropomorphism AI arms race AI boom AI bubble AI-induced psychosis AI slop Competition Copyright Deaths linked to chatbots Dependency (GAID) Environmental impact Regulation Ethics Existential risk In education In healthcare Workplace impact
Category:Large language models

This large language model-related article is a stub. You can help Wikipedia by adding missing information.