llava-1.5-7b-hf-bnb-4bit is a quantized version of the LLaVA 1.5 7B multimodal model optimized for lower memory usage. It combines a vision encoder with a language model to understand images and answer questions about visual content. The model is designed for developers who want to run vision-language tasks locally or on limited hardware using the Hugging Face ecosystem.
Llava 1.5 7b Hf Bnb is a Multimodal & vision project. It focuses on running multimodal vision-language models efficiently on consumer hardware. Llava 1.5 7b Hf Bnb is an open-source project aimed at developers. Llava 1.5 7b Hf Bnb is open source under the Apache-2.0 license. It ships for the web, the command line, and API.
It is developed by unsloth, and it first shipped in 2023. The project is developed in the open on GitHub with 68.6k stars and 1.2k commits in the last 90 days. Among its 3 catalogued features are image understanding, visual question answering, and 4-bit quantization.
Summary written by a language model from the project’s public pages.
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