Vicuna-33B

Larger, Smarter Open Chat Model Tuned for Real Conversations

What is Vicuna-33B?

Vicuna-33B is a 33-billion-parameter open instruction-tuned chat model, developed by a research collaboration between UC Berkeley, CMU, Stanford, and UC San Diego. Built on Meta’s LLaMA-33B base, it is fine-tuned using 70K ShareGPT conversations, enabling it to outperform many smaller open models in multi-turn dialogue, contextual understanding, and instruction adherence.

Designed for non-commercial research and development, Vicuna-33B demonstrates that large open models can achieve ChatGPT-level quality when fine-tuned with conversational human data.

Key Features of Vicuna-33B

33B Parameters for Stronger Reasoning

Substantial increase in depth, context retention, and multi-step logic over 7B/13B versions.

Instruction-Tuned with ShareGPT Dialogues

Trained on real, human-curated multi-turn conversations, resulting in natural, context-aware dialogue output.

Open for Research (Non-Commercial)

Released with open weights and code (via LLaMA license), great for transparency, exploration, and academic development.

ChatGPT-Like Performance in Open Source

Rated at 90–95% of ChatGPT-3.5's output quality in benchmarks, demonstrates the viability of open LLMs at scale.

Built by Leading Academic Institutions

Created by top AI research teams to advance understanding of scalable, safe, and transparent language models.

Research-Only License

Commercial use is not allowed due to LLaMA licensing. Suitable for internal tools, benchmarking, and public research only.

Use Cases of Vicuna-33B

Study instruction-following, alignment, long-context interaction, and conversation style modeling at scale.

Perfect for teaching large-model architecture, tuning techniques, prompt engineering, and evaluation.

Test dynamic prompts, tool integrations, or chat UX features before moving to commercial models.

Use as a transparent baseline to evaluate instruction-following safety and reliability in large open models.

Develop experimental agents or research demos with superior context retention and reasoning.

Vicuna-33B

vs

Other Open LLMs

Feature	Vicuna‑13B	Vicuna‑33B	GPT4All‑13B	Dolly‑V2‑12B
Base Model	LLaMA‑13B	LLaMA‑33B	LLaMA / Falcon	Pythia‑12B
Instruction Data	ShareGPT	ShareGPT	Open Dataset Mix	Human Instruction Dataset
Multi‑Turn Dialogue	Good	✅ Excellent	Moderate	Basic
Model Size	13B	33B	13B	12B
Commercial Use	❌ No	❌ No	✅ Limited	✅ Yes