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Vicuna-13B
Vicuna-13B
High-Quality Open Chatbot Fine-Tuned on Real Dialogue
What is Vicuna-13B?
Vicuna-13B is a 13-billion-parameter open-source instruction-tuned language model, built upon Meta’s LLaMA-13B architecture and fine-tuned by researchers from UC Berkeley, CMU, Stanford, and UC San Diego. Unlike earlier instruction-tuned models, Vicuna was trained on user-shared conversations from ShareGPT, enabling it to deliver natural, multi-turn, instruction-following chat capabilities that rival commercial models.
The model is available under non-commercial use only due to the base LLaMA licensing.
Key Features of Vicuna-13B
Use Cases of Vicuna-13B
Limitations
Risks
Parameter
- Quality (MMLU Score)
- Inference Latency (TTFT)
- Cost per 1M Tokens
- Hallucination Rate
- HumanEval (0-shot)
Llama 2
With a real-world conversation dataset and a powerful LLaMA core, Vicuna-13B excels at instruction clarity, contextual memory, and conversational tone, offering research communities a strong glimpse of ChatGPT-style alignment.
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