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235 tools · 33 stacks

AI tools are all over the place. This is the full landscape — 247 tools across 21 categories, mapped and connected. Ready to narrow it down? Build your stack →

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These tools integrates with
LLaVA
vs
Ollama

Choose LLaVA when…

  • •You want an open-source multimodal model for self-hosted deployment
  • •You're doing research on vision-language instruction following
  • •You need a well-documented baseline for multimodal tasks

Choose Ollama when…

  • •You want to run LLMs locally on your machine
  • •Privacy or offline use cases require local models
  • •You're testing open-source models without API costs
Field
LLaVA⚠
Ollama
Category
Multimodal
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
—
Stars
⭐ 22,000
⭐ 90,000
Health
●55 — Slowing
●95 — Active
Trajectory
— not enough data
— not enough data
Synced
today
today

LLaVA

Large Language and Vision Assistant — connects a vision encoder to an LLM for instruction-following with images. OSS research model widely used as a multimodal base. Runs via Ollama.

Ollama

Dead-simple local LLM serving. Pull and run models like Docker images. Compatible with the OpenAI API format.

LLaVA Website ↗GitHub ↗
Ollama Website ↗GitHub ↗

Shared Connections (1)

Moondream

Only LLaVA (2)

InternVL2Ollama

Only Ollama (6)

ContinueLlamaIndexLiteLLMvLLMllama.cppLLaVA
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