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 sits in PulseGate's Foundation models & chat category. It focuses on running multimodal vision-language models efficiently on consumer hardware. It is built as an open-source project for developers. Llava 1.5 7b Hf Bnb is open source under the Apache-2.0 license. Llava 1.5 7b Hf Bnb is available on the web, the command line, and API.
unsloth builds and maintains Llava 1.5 7b Hf Bnb, and the product first shipped in 2023. Development happens publicly on GitHub with 68.6k stars and 1.2k commits in the last 90 days. Key capabilities include image understanding, visual question answering, and 4-bit quantization.
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