--- title: TinyGPT-V: Small but Mighty Multimodal Large Language Model description: TinyGPT-V is a compact multimodal large language model that combines a pretrained EVA vision transformer, a Q-Former from BLIP-2, projection layers, and the... canonical: https://daily.dev/posts/tinygpt-v-small-but-mighty-multimodal-large-language-model-chi8qzwsz twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: TinyGPT-V: Small but Mighty Multimodal Large Language Model | daily.dev og:description: TinyGPT-V is a compact multimodal large language model that combines a pretrained EVA vision transformer, a Q-Former from BLIP-2, projection layers, and the... og:url: https://daily.dev/posts/tinygpt-v-small-but-mighty-multimodal-large-language-model-chi8qzwsz og:image: https://api.daily.dev/og/posts/cHI8qZwSz.png og:image:alt: TinyGPT-V: Small but Mighty Multimodal Large Language Model og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # TinyGPT-V: Small but Mighty Multimodal Large Language Model **[AI Papers Academy](https://daily.dev/sources/aipapersacademy)** · 5 min read · 0 upvotes · 0 comments ## Summary TinyGPT-V is a compact multimodal large language model that combines a pretrained EVA vision transformer, a Q-Former from BLIP-2, projection layers, and the 2.7B-parameter Phi-2 LLM backbone to process both images and text. By keeping most components frozen and training only projection layers, normalization layers, and LoRA weights, the model stays small and efficient. Despite having only 2.8B parameters, TinyGPT-V achieves performance comparable to much larger models (9B–13B) across multiple vision-language benchmarks. Training proceeds in four stages: warm-up, pre-training with LoRA, instruction learning, and multi-task learning. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [microgpt](https://daily.dev/posts/microgpt-k69dx0r76) · Hacker News · 2 upvotes · 0 comments - [How Vision Language Models Are Trained from “Scratch”](https://daily.dev/posts/how-vision-language-models-are-trained-from-scratch--cptxwc95l) · Towards Data Science · 0 upvotes · 0 comments - [How Large Language Models \(LLMs\) Work](https://daily.dev/posts/how-large-language-models-llms-work-u6fksbwh0) · C\# Corner · 0 upvotes · 0 comments --- Tags: [#lora](https://daily.dev/tags/lora) [View this post on daily.dev](https://daily.dev/posts/tinygpt-v-small-but-mighty-multimodal-large-language-model-chi8qzwsz) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"TinyGPT-V: Small but Mighty Multimodal Large Language Model","url":"https://daily.dev/posts/tinygpt-v-small-but-mighty-multimodal-large-language-model-chi8qzwsz","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/tinygpt-v-small-but-mighty-multimodal-large-language-model-chi8qzwsz"},"datePublished":"2026-04-19T08:04:40.419Z","dateModified":"2026-04-19T08:05:12.098Z","description":"TinyGPT-V is a compact multimodal large language model that combines a pretrained EVA vision transformer, a Q-Former from BLIP-2, projection layers, and the...","image":"https://i.ytimg.com/vi/9mc_uFLw67c/sddefault.jpg","thumbnailUrl":"https://i.ytimg.com/vi/9mc_uFLw67c/sddefault.jpg","isAccessibleForFree":true,"articleSection":"AI Papers Academy","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"AI Papers Academy","logo":"https://media.daily.dev/image/upload/s--O3RGOCh9--/f_auto,q_auto/v1776585874/logos/aipapersacademy","url":"https://daily.dev/sources/aipapersacademy"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/tinygpt-v-small-but-mighty-multimodal-large-language-model-chi8qzwsz","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"lora","timeRequired":"PT5M","video":{"@type":"VideoObject","name":"TinyGPT-V: Small but Mighty Multimodal Large Language Model","description":"TinyGPT-V is a compact multimodal large language model that combines a pretrained EVA vision transformer, a Q-Former from BLIP-2, projection layers, and the...","thumbnailUrl":"https://i.ytimg.com/vi/9mc_uFLw67c/sddefault.jpg","uploadDate":"2026-04-19T08:04:40.419Z","duration":"PT5M","url":"https://api.daily.dev/r/cHI8qZwSz","embedUrl":"https://www.youtube.com/embed/9mc_uFLw67c"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"AI Papers Academy","item":"https://daily.dev/sources/aipapersacademy"},{"@type":"ListItem","position":3,"name":"TinyGPT-V: Small but Mighty Multimodal Large Language Model"}]} ```