LLaVA 1.6 Mistral 7B

LLaVA-v1.6 Mistral-7B is an open-source, multimodal language model capable of processing text and images. Built on the Mistral-7B-Instruct-v0.2 base, it combines a large language model with a vision encoder to enhance reasoning, optical character recognition, and world understanding. Trained on substantial datasets, including image-text pairs from LAION/CC/SBU, GPT-generated data, and VQA data, it was evaluated against 12 benchmarks. The model improves upon LLaVA-1.5 with higher image resolution processing and better reasoning, offering bilingual support and commercial licensing. It finds use in applications like chatbots, image captioning, and visual QA tasks but requires significant computational resources for high-res images.

LLaVA 1.6 Mistral 7B is a model in the LLaVA 1.6 family. The structured metadata tracks a 32k-token context window. This page tracks provider routes through NVIDIA NIM and Replicate API, with the cheapest tracked route listed at $0.05 input and $0.25 output per 1M tokens. No headline benchmark score is tracked for LLaVA 1.6 Mistral 7B yet.