Use vllm-openai upstream image

[ericcurtin]

The one we are currently using is old and doesn't have .gguf compatibility.

Summary by Sourcery

Enhancements:

• Update the vLLM image to the upstream vllm-openai image, providing compatibility with the .gguf format.

[sourcery-ai]

Reviewer's Guide by Sourcery

This PR updates the vLLM image used in the ramalama service to the upstream vllm-openai image. This change ensures compatibility with the .gguf format and uses a more up-to-date version of vLLM.

No diagrams generated as the changes look simple and do not need a visual representation.

File-Level Changes

Change	Details	Files
Update vLLM Docker image to the upstream vllm-openai image.	Replaced the custom quay.io/modh/vllm image with the official docker.io/vllm/vllm-openai image for vLLM runtime. Removed conditional logic based on GPU type (HIP or CUDA) for selecting the vLLM image.	ramalama/model.py

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[sourcery-ai]

Hey @ericcurtin - I've reviewed your changes - here's some feedback:

Overall Comments:

• Consider adding a comment explaining why the same image can be used for both CUDA and ROCm.

Here's what I looked at during the review

• 🟢 General issues: all looks good
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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[engelmi]

LGTM