llama.cpp has vision language model support now! ❤️🔥
get started with sota VLMs (gemma 3, Qwen2.5VL, InternVL3 & more) and serve them wherever you want 🤩
learn more github.com/ggml-org/lla... 📖
merve
@merve.bsky.social
8.6K followers 675 following 242 posts
proud mediterrenean 🧿 open-sourceress at hugging face 🤗 multimodality, zero-shot vision, vision language models, transformers
![Your task is to analyze an image and output a list of all distinct objects, people, animals, etc. that you can identify in the image. For every image the user sends, please study that image carefully and compile a json-like list of every meaningful object or entity you can discern. Each item should be on a separate line. The list should be thorough in capturing all key elements of the image, but also concise, avoiding redundancy. Minor background details can be omitted. Output your list in the following format: {"object_list":[item 1, item 2 , item 3]} The formatting of this list is important, as it is meant to be easily machine-readable for later processing. Focus only on the literal contents of the image. Do not include any subjective analysis, guesses about the context, or details that aren't clearly visible. Provide only the object list, without any other discussion or response. If no object were detected, just return: {"object_list":[]} Each item must appear only once, never repeat the same item.](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:p7q6unb5pfs22fmzpxdddvs6/bafkreic5r3gzhkxpprph2tttodjn2ckpwldfaxxjm2ot6w3gxdalxk52se)
