qwen2.5-tiny-random appears to be a tiny randomly initialized Qwen2.5 test model, which none of the candidates provides directly. The closest match is Ollama 6, which runs open Qwen models locally, and Replicate 1, which hosts an Ollama-packaged Qwen2.5 72b model; neither is a tiny random test model.
A question back: Do you mean a tiny randomly initialized Qwen2.5 model for testing, or a real Qwen2.5 model to run for inference, and on which platform?
- 1
Ollamaollama.comwebsite read, tools not yet checked
Ollama runs open AI models locally or in the cloud on macOS, Windows and Linux, so a Qwen2.5 model can be pulled and run there 6.
+136 community tools built for it
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- 3
Sources
- 1Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 6Ollama · Run AI models locally and in the cloudollama.com · read 2026-10-29
- 9Bento: Run Inference at Scalebentoml.com · read 2026-10-30
- 11lucataco/ollama-qwen2.5-72b: declares "lucataco/ollama-qwen2.5-72b" (the record we read and signed)unfragile.ai · read 2026-10-24
- 19qwen2.5: declares "qwen2.5__generate" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
lucataco/ollama-qwen2.5-72b · lucataco/ollama-qwen2.5-72b verified and signed
Ollama Qwen2.5 72b
python · fastcore verified and signed
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Latest model in the Qwen family for chatting with video and image models
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lucataco/qwen2.5-omni-7b · lucataco/qwen2.5-omni-7b verified and signed
Qwen2.5-Omni is an end-to-end multimodal model designed to perceive diverse modalities, including text, images, audio, and video, while simultaneously generating text and natural speech responses in a streaming manner.
PostTestHelpersIssuingAuthorizations · Stripe API verified and signed
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device-dex-test-create-device-dex-test · Cloudflare API verified and signed
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· Ollama website read, tools not yet checked
Ollama is the easiest way to run and build with open AI models locally or in the cloud on macOS, Windows, and Linux.
cuuupid/gte-qwen2-7b-instruct · cuuupid/gte-qwen2-7b-instruct verified and signed
Embed text with Qwen2-7b-Instruct
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