Who developed Vicuna2 and how large is it?

Vicuna2 is developed by maicomputer, a model with 13b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Vicuna2?

Vicuna2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vicuna2 by maicomputer | LLM Explorer

Name: Vicuna2
Author: maicomputer

Vicuna2 is an open-source language model by maicomputer. Features: 13b LLM, LLM Explorer Score: 0.06.

Endpoints compatible Llama Region:us

Model Card on HF 🤗: https://huggingface.co/maicomputer/vicuna2

Vicuna2 Parameters and Internals

LLM Name	Vicuna2
Repository 🤗	https://huggingface.co/maicomputer/vicuna2
Model Size	13b
Required VRAM	0 GB
Updated	2026-08-05
Maintainer	maicomputer
Model Type	llama
Model Files	0.0 GB
Model Architecture	LLaMAForCausalLM
Model Max Length	1024
Transformers Version	4.27.0.dev0
Tokenizer Class	LLaMATokenizer
Vocabulary Size	32001
Torch Data Type	float32

Rank the Vicuna2 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Vicuna2

Best Alternatives	Context / RAM	Downloads	Likes
Llm Jp 13B V2.0	4K / 27.4 GB	16	15
Alpaca 13B	0K / 52.1 GB	73	108
Decapoda Research Llama 13B	0K / 41 GB	10	0
LIMA 13B	0K / 42 GB	78	1
Alpaca 13B	0K / 52.1 GB	426	109
Llama 13B	0K / 42 GB	96	1
Vicuna2	0K / 0 GB	5	16
Llama 13B	0K / 42 GB	12	3
... X Alpaca 13B Native 4bit 128g	0K / 7.9 GB	106	727
... X Alpaca 13B Native 4bit 128g	0K / 8.1 GB	10	2

Note: green Score (e.g. "73.2") means that the model is better than maicomputer/vicuna2.