LLaVA Llama 2 13B
LLaVA Llama 2 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
- Knowledge cutoff
- 2023-01
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
LLaVA (Large Language and Vision Assistant) Llama 2 13B is an open-source multimodal chatbot model that leverages the transformer architecture to process and integrate sequential data like text and images. It is a fine-tuned version of the LLaMA 2 language model, trained on a substantial dataset of image-text pairs and GPT-generated multimodal instruction-following data. The model's architecture features a vision encoder (CLIP ViT-L/14) for images and a language model (Vicuna) for text, connected by a projection matrix. LLaVA excels in open-ended conversations, visual reasoning tasks, and can synergize with other models like GPT-4 for complex tasks. It underwent a two-stage training process to align features and fine-tune for tasks, achieving state-of-the-art results in some benchmarks, though it may face challenges in reasoning and factual precision.
LLaVA Llama 2 13B is a model in the LLaVA family. No headline benchmark score is tracked for LLaVA Llama 2 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.