# Next Steps

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm-acceleration/)
- [Build and validate vLLM for inference](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm-acceleration/1-overview-and-build/)
- [Quantize an LLM to INT4](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm-acceleration/2-quantize-model/)
- [Serve high throughput inference with vLLM](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm-acceleration/3-run-inference-and-serve/)
- [Evaluate accuracy with LM Evaluation Harness](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm-acceleration/4-accuracy-benchmarking/)
- [Next Steps](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm-acceleration/_next-steps/)

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- Have more feedback? [Log an issue on GitHub.](https://github.com/ArmDeveloperEcosystem/arm-learning-paths/issues/new?title=Feedback%20-%20Run%20vLLM%20inference%20with%20INT4%20quantization%20on%20Arm%20servers)
- Want to collaborate? [Join our Discord server.](https://discord.com/invite/armsoftwaredev)

## Continue Learning

### Read related resources
Find more information about the topics in this Learning Path:
- [vLLM Documentation](https://docs.vllm.ai/)
- [vLLM GitHub Repository](https://github.com/vllm-project/vllm)
- [Hugging Face Model Hub](https://huggingface.co/models)
- [Build and Run vLLM on Arm Servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm/)
- [LM Evaluation Harness (GitHub)](https://github.com/EleutherAI/lm-evaluation-harness)

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