Project AURIONAI Use-Cases Research & Innovation

Visual Instruction Tuning

Connecting a vision encoder to a language model and training it on image-grounded instructions to make an open vision-language assistant.

Tier Grades

feasible

Tier A: Frontier AI labs

feasible

Google, Alibaba, Shanghai AI Lab and Ai2 train open VLMs.

feasible

Tier B: Indonesian AI labs

feasible

LLaVA's recipe of an open encoder, an open LLM and generated instruction data needs modest compute; Indonesian VLM work is not in the sources.

feasible

Tier C: Institution units such as ITB

feasible

LLaVA came from a 4-author team.

feasible

Tier D: Organisations such as SEMAI (PoT, PoC, PoV)

feasible

Open VLMs answer questions about client images in inspection and document proofs of concept.

Where this comes from
Tiers: a) frontier AI labs, b) Indonesian AI labs, c) institution units such as ITB, d) organisations such as SEMAI delivering proof of technology, concept and value. Each rationale cites the anchors below.

Anchors

  • ComputeLLaVA connects a vision encoder and an LLM trained end to end; compute is not given in the abstract.
  • DataMultimodal instruction data generated with language-only GPT-4; LLaVA scores 85.1% relative to GPT-4 on a synthetic multimodal instruction set and 92.53% on Science QA with GPT-4.
  • Team size (proxy)Proxy only (author count of an exemplar paper, not a headcount): 4 authors on LLaVA.
  • Time horizonMonths.
  • Shelf-life signalsOpen VLM families updated several times a year (LLaVA, InternVL, Molmo, Qwen-VL), Small VLMs under 2B for phones (SmolVLM, FastVLM)
  • Pipeline roleTier A and open labs release VLMs; Tier B and Tier C tune them on Indonesian images and text; Tier D applies them to inspection and visual question answering.
Where this comes from
Team size is a proxy (author counts of exemplar papers), not a headcount.

Who and What

Exemplars
Observed actors
Linked models
+81
AppleFastVLM 7Bmultimodal LLMproduced byShanghai AI LabInternVL3.5 241B A28Bmultimodal LLMproduced byShanghai AI LabInternVL3.5 2Bmultimodal LLMproduced byShanghai AI LabInternVL3.5 8Bmultimodal LLMproduced byOpenBMB (Tsinghua NLP Lab and ModelBest)MiniCPM-V 4.5multimodal LLMproduced byZ.ai (Zhipu)GLM-4.5Vmultimodal LLMproduced byKuaishouKeye-VLmultimodal LLMproduced byKuaishouKeye-VL 8B Previewmultimodal LLMproduced byGoogle DeepMindGemma 3n E2Bedge LLMproduced byGoogle DeepMindGemma 3n E4Bedge LLMproduced byMoonshot AIKimi-VLmultimodal LLMproduced byMoonshot AIKimi-VL-A3B-Instructmultimodal LLMproduced byMoonshot AIKimi-VL-A3B-Thinkingmultimodal LLMproduced byGoogle DeepMindGemini Robotics-ERmultimodal LLMproduced byCohere LabsAya Visionmultimodal LLMproduced byCohere LabsAya Vision 32Bmultimodal LLMproduced byCohere LabsAya Vision 8Bmultimodal LLMproduced byHugging FaceSmolVLM2 256M Video Instructmultimodal LLMproduced byHugging FaceSmolVLM2 500M Video Instructmultimodal LLMproduced byHugging FaceSmolVLM2 2.2B Instructmultimodal LLMproduced byShanghai AI LabInternVideo2.5 Chat 8Bmultimodal LLMproduced byAlibaba (Qwen)QVQ-72B-Previewreasoningproduced byAppleFastVLMmultimodal LLMproduced byGooglePaliGemma 2 28B pt 896multimodal LLMproduced byGooglePaliGemma 2multimodal LLMproduced byGooglePaliGemma 2 10B pt 448multimodal LLMproduced byGooglePaliGemma 2 3B pt 224multimodal LLMproduced byHugging FaceSmolVLMmultimodal LLMproduced byHugging FaceSmolVLM Instructmultimodal LLMproduced byAllen AIMolmo 7B-Dmultimodal LLMproduced byAlibaba (Qwen)Qwen2-VL 2Bmultimodal LLMproduced byMicrosoft AIPhi-3.5-vision-instructmultimodal LLMproduced byByteDanceLLaVA-OneVision Qwen2 7Bmultimodal LLMproduced byAlibaba DAMOmPLUG-Owl3 7Bmultimodal LLMproduced bySalesforcexGen-MM (BLIP-3) phi3 mini instructmultimodal LLMproduced byHugging FaceIdefics3 8B Llama3multimodal LLMproduced byOpenBMB (Tsinghua NLP Lab and ModelBest)MiniCPM-V 2.6multimodal LLMproduced byPaigePrismmultimodal LLMproduced byShanghai AI LabInternLM-XComposer 2.5 7Bmultimodal LLMproduced byShanghai AI LabInternVL2 8Bmultimodal LLMproduced byMicrosoft AIFlorence-2 basemultimodal LLMproduced byMicrosoft AIFlorence-2 largemultimodal LLMproduced byUniversity of Wisconsin-MadisonLLaVA-NeXT-Video 7Bmultimodal LLMproduced byZ.ai (Zhipu)GLM-4V-9Bmultimodal LLMproduced byOpenBMB (Tsinghua NLP Lab and ModelBest)MiniCPM-Llama3-V 2.5multimodal LLMproduced byMicrosoft AILLaVA-Med v1.5 (Mistral 7B)multimodal LLMproduced byGooglePaliGemma 3B mix 448multimodal LLMproduced byGooglePaliGemmamultimodal LLMproduced byGooglePaliGemma 3B pt 224multimodal LLMproduced byAlibaba DAMOSeaLMMM 7B v0.1multimodal LLMproduced byHugging FaceIdefics2 8Bmultimodal LLMproduced byUniversity of Wisconsin-MadisonLLaVA-NeXT (1.6) Mistral 7Bmultimodal LLMproduced byOpenBMB (Tsinghua NLP Lab and ModelBest)MiniCPM-Vmultimodal LLMproduced by01.AIYi-VLmultimodal LLMproduced by01.AIYi-VL 34Bmultimodal LLMproduced by01.AIYi-VL 6Bmultimodal LLMproduced byZ.ai (Zhipu)CogAgent chatmultimodal LLMproduced byUniversity of Wisconsin-MadisonLLaVA-1.5 7Bmultimodal LLMproduced byZ.ai (Zhipu)CogVLM chatmultimodal LLMproduced byMicrosoft AIFlorence-2multimodal LLMproduced byAdept AIFuyu-8Bmultimodal LLMproduced byZ.ai (Zhipu)CogVLMmultimodal LLMproduced byMicrosoft AIKosmos-2multimodal LLMproduced byAlibaba (Qwen)Qwen-VL-Chatmultimodal LLMproduced byAlibaba DAMOmPLUG-Owlmultimodal LLMproduced byKing Abdullah University of Science and TechnologyMiniGPT-4multimodal LLMproduced bySalesforceBLIP-2 Flan-T5 XLmultimodal LLMproduced bySalesforceBLIP-2 OPT 2.7Bmultimodal LLMproduced bySalesforceBLIP-2multimodal LLMproduced bySalesforceBLIP image captioning largemultimodal LLMproduced bySalesforceBLIP VQA basemultimodal LLMproduced byAlibaba DAMOOFAmultimodal LLMproduced bySalesforceBLIPmultimodal LLMproduced byNaverViLT (VQA fine-tune)multimodal LLMproduced byGoogle DeepMindGemma 3nedge LLMproduced byMoondream 1.8Bedge LLMproduced byNII LLM-jpLLM-jp-4-VL-9Bmultimodal LLMproduced byNVIDIAEagle 2.5multimodal LLMproduced byOpenBMB (Tsinghua NLP Lab and ModelBest)MiniCPM-V 4.6 1.3Bmultimodal LLMproduced byQwen2.5-VLmultimodal LLMproduced byUnitree RoboticsUnifoLM-VLM-Basemultimodal LLMproduced by

Papers

Where this comes from
The papers to read first: where the direction began, its current best, and a survey when one exists.

Sources

  1. arxiv.org/abs/2304.08485 https://arxiv.org/abs/2304.08485

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Visual Instruction Tuning", https://aurion.semai.id/topics/visual-instruction-tuning/, records of October 2026.