wehub-resource-sync
47 lines
1.4 KiB
Markdown
47 lines
1.4 KiB
Markdown
# LMCache Clear
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This is an example to demonstrate how to clear KV cache in an LMCacheEngine externally.
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## Prerequisites
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Your server should have at least 1 GPU.
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This will use port 8000 for 1 vllm and port 8001 for LMCache. The controller occupies ports 9000 and 9001.
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## Steps
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1. Start the vllm engine at port 8000:
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```bash
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CUDA_VISIBLE_DEVICES=0 LMCACHE_CONFIG_FILE=example.yaml vllm serve meta-llama/Llama-3.1-8B-Instruct --max-model-len 4096 --gpu-memory-utilization 0.8 --port 8000 --kv-transfer-config '{"kv_connector":"LMCacheConnectorV1", "kv_role":"kv_both"}'
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```
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2. Start the lmcache controller at port 9000 and the monitor at port 9001:
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```bash
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lmcache_controller --host localhost --port 9000 --monitor-port 9001
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```
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3. Send a request to vllm engine:
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```bash
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curl -X POST http://localhost:8000/v1/completions \
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-H "Content-Type: application/json" \
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-d '{
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"model": "meta-llama/Llama-3.1-8B-Instruct",
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"prompt": "Explain the significance of KV cache in language models.",
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"max_tokens": 10
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}'
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```
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4. Clear the KV cache in the system:
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```bash
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curl -X POST http://localhost:9000/clear \
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-H "Content-Type: application/json" \
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-d '{
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"instance_id": "lmcache_default_instance",
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"location": "LocalCPUBackend"
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}'
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```
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You should be able to see a return message indicating the number of tokens' KV cache that has been successfully cleared in the system:
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```plaintext
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{"event_id": "xxx", "num_tokens": 12}
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```
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