LLaVA Vicuna 13B
LLaVA Vicuna 13B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- LLaVA
- Released
- 2023-04-17
- Parameters
- 13B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
LLaVA Vicuna 13B is a versatile open-source, multimodal chatbot model based on the Vicuna-13B language framework. It integrates a pre-trained CLIP ViT-L/14 vision encoder, connected via a projection matrix, to process both textual and visual data. Fine-tuned on an extensive multimodal instruction-following dataset, it includes 558K curated image-text pairs and numerous GPT-4-based multimodal and VQA samples. This model excels in tasks such as visual question answering and image captioning, offering a performance that rivals GPT-4 in multimodal tasks. Further iterations, like LLaVA-NeXT, have been enhanced with advanced data processing techniques and superior language models, although detailed benchmark scores are not uniformly available across various datasets 1, 2, 5, 7.
LLaVA Vicuna 13B is a model in the LLaVA family. No headline benchmark score is tracked for LLaVA Vicuna 13B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.