- bakllava - Ollama
BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture Note: this model requires Ollama 0 1 15: download it here >>> What's in this image? Users jmorgan Desktop smile png The image features a yellow smiley face, which is likely the central focus of the picture "model": "bakllava",
- SkunkworksAI BakLLaVA - GitHub
BakLLaVA v1 can be found here: https: huggingface co SkunkworksAI BakLLaVA-1 A project in collaboration with LAION (www laion ai), Ontocord (www ontocord ai) and Skunkworks OSS AI group Baking SOTA multimodality into language models
- Ollama - AI Models
Ollama can run AI language models to generate text, summarize content, provide coding assistance, create embeddings, support creative projects, facilitate learning, and more It's suitable for personal and professional applications
- Image Captioning with free llm | build with langchain, ollama and bakllava
You will learn how to use the Ollama with the langchain and run any model locally without utilizing any API and it's FREE Code:- https: github com subhacas
- SkunkworksAI BakLLaVA-1 - Hugging Face
BakLLaVA 1 is a Mistral 7B base augmented with the LLaVA 1 5 architecture In this first version, we showcase that a Mistral 7B base outperforms Llama 2 13B on several benchmarks You can run BakLLaVA-1 on our repo
- BakLLaVA Multimodal Model Model: What is, How to Use - Roboflow
BakLLaVA is an LMM developed by LAION, Ontocord, and Skunkworks AI BakLLaVA uses a Mistral 7B base augmented with the LLaVA 1 5 architecture Used in combination with llama cpp, a tool for running the LLaMA model in C++, you can use BakLLaVA on a laptop, provided you have enough GPU resources available
- How to Use the BakLLaVA Model - fxis. ai
The BakLLaVA model is an exciting advancement in the world of image-to-text processing, derived from the foundational Llava architecture This guide will walk you through using this model effectively, with some troubleshooting tips to help you along the way!
- New Vision-Language Model: BakLLaVA-1, finetuned on Mistral 7B
You use a model like ViT to extract features from an image and use the extracted vector array as input During training you designate the position of the image input <image> Once text is tokenized both image and text become a vector
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