Instructions to use patdev/k3-a40-bootstrap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use patdev/k3-a40-bootstrap with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf patdev/k3-a40-bootstrap:BF16 # Run inference directly in the terminal: llama cli -hf patdev/k3-a40-bootstrap:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf patdev/k3-a40-bootstrap:BF16 # Run inference directly in the terminal: llama cli -hf patdev/k3-a40-bootstrap:BF16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf patdev/k3-a40-bootstrap:BF16 # Run inference directly in the terminal: ./llama-cli -hf patdev/k3-a40-bootstrap:BF16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf patdev/k3-a40-bootstrap:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf patdev/k3-a40-bootstrap:BF16
Use Docker
docker model run hf.co/patdev/k3-a40-bootstrap:BF16
- LM Studio
- Jan
- Ollama
How to use patdev/k3-a40-bootstrap with Ollama:
ollama run hf.co/patdev/k3-a40-bootstrap:BF16
- Unsloth Desktop
- Docker Model Runner
How to use patdev/k3-a40-bootstrap with Docker Model Runner:
docker model run hf.co/patdev/k3-a40-bootstrap:BF16
- Lemonade
How to use patdev/k3-a40-bootstrap with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull patdev/k3-a40-bootstrap:BF16
Run and chat with the model
lemonade run user.k3-a40-bootstrap-BF16
List all available models
lemonade list
- Atomic Chat
journal flashnext
Browse files- etat/3jzaxcgvs3kf7t.log +43 -40
etat/3jzaxcgvs3kf7t.log
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=== lancer_flashnext | 19:
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97056 MiB, 97887 MiB
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total used free shared buff/cache available
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Mem: 1511
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--- comptabilite VRAM ---
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(Worker pid=1040) INFO 09-05 17:56:26 [model_runner.py:407] Model loading took 74.47 GiB memory and 134.487932 seconds
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(Worker pid=1040) INFO 09-05 17:57:38 [gpu_worker.py:621] Initial free memory 94.43 GiB, reserved 14.5 GiB memory for KV Cache as specified by kv_cache_memory_bytes config and skipped memory profiling. This does not respect the gpu_memory_utilization config. Only use kv_cache_memory_bytes config when you want manual control of KV cache memory size. If OOM'ed, check the difference of initial free memory between the current run and the previous run where kv_cache_memory_bytes is suggested and update it correspondingly.
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(EngineCore pid=819) INFO 09-05 17:57:38 [kv_cache_utils.py:2258] GPU KV cache size: 604,705 tokens, Maximum concurrency for 524,288 tokens per request: 1.15x
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(Worker pid=1040) INFO 09-05 17:57:59 [model_runner.py:953] Graph capturing finished in 5 secs, took 0.21 GiB
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--- vllm.log (fin) ---
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reqs, GPU KV cache usage:
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(APIServer pid=83) INFO 09-05 18:44:15 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 48.2%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO: 127.0.0.1:46052 - "GET /v1/models HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 18:44:25 [loggers.py:310] Engine 000: Avg prompt throughput: 21033.4 tokens/s, Avg generation throughput: 18.6 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 63.8%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:44:35 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 85.1 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 64.0%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO: 100.64.1.3:47208 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 18:44:45 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 19.5 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 31.3%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:44:55 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 53.7%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:45:05 [loggers.py:310] Engine 000: Avg prompt throughput: 21164.9 tokens/s, Avg generation throughput: 37.4 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 64.2%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:45:15 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 84.9 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 64.4%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:45:25 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 85.1 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 64.5%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:45:35 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 84.4 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 64.6%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:45:45 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 72.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO: 100.64.1.5:32882 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 18:45:55 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 40.7%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:46:15 [loggers.py:310] Engine 000: Avg prompt throughput: 21540.2 tokens/s, Avg generation throughput: 65.8 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 65.4%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO: 100.64.1.3:49770 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 18:46:25 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 51.2 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 22.1%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:46:35 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 46.2%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:46:45 [loggers.py:310] Engine 000: Avg prompt throughput: 21660.8 tokens/s, Avg generation throughput: 3.1 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 65.4%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO: 100.64.1.5:36726 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 18:46:55 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 22.7 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 31.3%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:47:05 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 53.7%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:47:15 [loggers.py:310] Engine 000: Avg prompt throughput: 21693.5 tokens/s, Avg generation throughput: 34.8 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 65.5%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO: 100.64.1.2:60958 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 18:47:25 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 14.8 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 25.8%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:47:35 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 50.0%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO 09-05 18:47:45 [loggers.py:310] Engine 000: Avg prompt throughput: 21749.0 tokens/s, Avg generation throughput: 16.9 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 65.7%, Prefix cache hit rate: 32.1%
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(APIServer pid=83) INFO: 100.64.1.4:39936 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 18:47:55 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 13.2 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 33.3%, Prefix cache hit rate: 32.0%
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(APIServer pid=83) INFO 09-05 18:48:05 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 55.6%, Prefix cache hit rate: 32.0%
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(APIServer pid=83) INFO 09-05 18:48:15 [loggers.py:310] Engine 000: Avg prompt throughput: 21786.8 tokens/s, Avg generation throughput: 42.1 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 65.7%, Prefix cache hit rate: 32.0%
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(APIServer pid=83) INFO: 100.64.1.4:39936 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 18:48:25 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 20.5 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 29.5%, Prefix cache hit rate: 32.0%
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(APIServer pid=83) INFO 09-05 18:48:35 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 51.8%, Prefix cache hit rate: 32.0%
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(APIServer pid=83) INFO 09-05 18:48:45 [loggers.py:310] Engine 000: Avg prompt throughput: 21888.3 tokens/s, Avg generation throughput: 25.6 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 65.8%, Prefix cache hit rate: 32.0%
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(APIServer pid=83) INFO 09-05 18:48:55 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 85.2 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 65.9%, Prefix cache hit rate: 32.0%
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(APIServer pid=83) INFO 09-05 18:49:05 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 84.9 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 66.2%, Prefix cache hit rate: 32.0%
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(APIServer pid=83) INFO 09-05 18:49:15 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 77.5 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 32.0%
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(APIServer pid=83) INFO: 100.64.1.2:41354 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO: 127.0.0.1:51270 - "GET /v1/models HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 19:14:25 [loggers.py:310] Engine 000: Avg prompt throughput: 25600.0 tokens/s, Avg generation throughput: 53.1 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 74.9%, Prefix cache hit rate: 30.5%
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(APIServer pid=83) INFO: 100.64.1.3:40114 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 19:14:35 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 5.3 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 35.5%, Prefix cache hit rate: 30.5%
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--- pont.log (fin) ---
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=== lancer_flashnext | 19:19:46 UTC ===
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97056 MiB, 97887 MiB
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total used free shared buff/cache available
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Mem: 1511 242 456 1 821 1268
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--- comptabilite VRAM ---
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(Worker pid=1040) INFO 09-05 17:56:26 [model_runner.py:407] Model loading took 74.47 GiB memory and 134.487932 seconds
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(Worker pid=1040) INFO 09-05 17:57:38 [gpu_worker.py:621] Initial free memory 94.43 GiB, reserved 14.5 GiB memory for KV Cache as specified by kv_cache_memory_bytes config and skipped memory profiling. This does not respect the gpu_memory_utilization config. Only use kv_cache_memory_bytes config when you want manual control of KV cache memory size. If OOM'ed, check the difference of initial free memory between the current run and the previous run where kv_cache_memory_bytes is suggested and update it correspondingly.
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(EngineCore pid=819) INFO 09-05 17:57:38 [kv_cache_utils.py:2258] GPU KV cache size: 604,705 tokens, Maximum concurrency for 524,288 tokens per request: 1.15x
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(Worker pid=1040) INFO 09-05 17:57:59 [model_runner.py:953] Graph capturing finished in 5 secs, took 0.21 GiB
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--- vllm.log (fin) ---
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9:05 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 84.9 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 66.2%, Prefix cache hit rate: 32.0%
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(APIServer pid=83) INFO 09-05 18:49:15 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 77.5 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 32.0%
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(APIServer pid=83) INFO: 100.64.1.2:41354 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO: 127.0.0.1:51270 - "GET /v1/models HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 19:14:25 [loggers.py:310] Engine 000: Avg prompt throughput: 25600.0 tokens/s, Avg generation throughput: 53.1 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 74.9%, Prefix cache hit rate: 30.5%
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(APIServer pid=83) INFO: 100.64.1.3:40114 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 19:14:35 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 5.3 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 35.5%, Prefix cache hit rate: 30.5%
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(APIServer pid=83) INFO 09-05 19:14:45 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 57.8%, Prefix cache hit rate: 30.5%
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(APIServer pid=83) INFO: 127.0.0.1:59502 - "GET /v1/models HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 19:14:55 [loggers.py:310] Engine 000: Avg prompt throughput: 25741.8 tokens/s, Avg generation throughput: 7.6 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 75.1%, Prefix cache hit rate: 30.5%
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(APIServer pid=83) INFO: 100.64.1.5:47058 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 19:15:05 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 60.1 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 20.6%, Prefix cache hit rate: 30.4%
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(APIServer pid=83) INFO: 100.64.1.2:47840 - "POST /v1/chat/completions HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 19:15:15 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 1 reqs, GPU KV cache usage: 44.8%, Prefix cache hit rate: 30.4%
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(APIServer pid=83) INFO: 100.64.1.2:60110 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 19:15:35 [loggers.py:310] Engine 000: Avg prompt throughput: 25815.7 tokens/s, Avg generation throughput: 17.6 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 7.6%, Prefix cache hit rate: 30.2%
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(APIServer pid=83) INFO 09-05 19:15:45 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 1 reqs, GPU KV cache usage: 35.5%, Prefix cache hit rate: 30.2%
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(APIServer pid=83) INFO 09-05 19:15:55 [loggers.py:310] Engine 000: Avg prompt throughput: 24910.9 tokens/s, Avg generation throughput: 3.0 tokens/s, Running: 1 reqs, Waiting: 1 reqs, GPU KV cache usage: 56.5%, Prefix cache hit rate: 30.2%
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(APIServer pid=83) INFO 09-05 19:16:05 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 9.8 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 39.2%, Prefix cache hit rate: 30.2%
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(APIServer pid=83) INFO 09-05 19:16:15 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 61.5%, Prefix cache hit rate: 30.2%
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(APIServer pid=83) INFO 09-05 19:16:25 [loggers.py:310] Engine 000: Avg prompt throughput: 25856.4 tokens/s, Avg generation throughput: 20.2 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 75.3%, Prefix cache hit rate: 30.2%
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(APIServer pid=83) INFO: 100.64.1.3:54988 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 19:16:35 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 2.5 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 35.5%, Prefix cache hit rate: 30.2%
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(APIServer pid=83) INFO: 100.64.1.3:51786 - "POST /v1/chat/completions HTTP/1.1" 200 OK
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(APIServer pid=83) INFO 09-05 19:16:45 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 57.8%, Prefix cache hit rate: 30.2%
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| 199 |
+
(APIServer pid=83) INFO 09-05 19:16:55 [loggers.py:310] Engine 000: Avg prompt throughput: 25729.1 tokens/s, Avg generation throughput: 0.1 tokens/s, Running: 2 reqs, Waiting: 0 reqs, GPU KV cache usage: 80.4%, Prefix cache hit rate: 30.1%
|
| 200 |
+
(APIServer pid=83) INFO 09-05 19:17:05 [loggers.py:310] Engine 000: Avg prompt throughput: 6234.7 tokens/s, Avg generation throughput: 53.5 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 30.1%
|
| 201 |
+
(APIServer pid=83) INFO: 100.64.1.4:47754 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
|
| 202 |
+
(APIServer pid=83) INFO 09-05 19:17:15 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 39.2%, Prefix cache hit rate: 30.1%
|
| 203 |
+
(APIServer pid=83) INFO: 100.64.1.3:39462 - "POST /v1/chat/completions HTTP/1.1" 200 OK
|
| 204 |
+
(APIServer pid=83) INFO 09-05 19:17:35 [loggers.py:310] Engine 000: Avg prompt throughput: 26019.2 tokens/s, Avg generation throughput: 0.3 tokens/s, Running: 2 reqs, Waiting: 0 reqs, GPU KV cache usage: 84.1%, Prefix cache hit rate: 30.0%
|
| 205 |
+
(APIServer pid=83) INFO 09-05 19:17:45 [loggers.py:310] Engine 000: Avg prompt throughput: 12460.7 tokens/s, Avg generation throughput: 15.1 tokens/s, Running: 2 reqs, Waiting: 0 reqs, GPU KV cache usage: 98.2%, Prefix cache hit rate: 30.0%
|
| 206 |
+
(APIServer pid=83) INFO: 100.64.1.4:47754 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
|
| 207 |
+
(APIServer pid=83) INFO 09-05 19:17:55 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 31.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 29.9%, Prefix cache hit rate: 30.0%
|
| 208 |
+
(APIServer pid=83) INFO 09-05 19:18:05 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 52.2%, Prefix cache hit rate: 30.0%
|
| 209 |
+
(APIServer pid=83) INFO 09-05 19:18:25 [loggers.py:310] Engine 000: Avg prompt throughput: 26063.2 tokens/s, Avg generation throughput: 63.6 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 30.0%
|
| 210 |
+
(APIServer pid=83) INFO: 100.64.1.5:47272 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
|
| 211 |
+
(APIServer pid=83) INFO 09-05 19:18:35 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 39.2%, Prefix cache hit rate: 30.0%
|
| 212 |
+
(APIServer pid=83) INFO 09-05 19:18:55 [loggers.py:310] Engine 000: Avg prompt throughput: 26132.1 tokens/s, Avg generation throughput: 14.9 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 75.7%, Prefix cache hit rate: 30.0%
|
| 213 |
+
(APIServer pid=83) INFO: 100.64.1.4:48924 - "POST /v1/messages/count_tokens?beta=true HTTP/1.1" 200 OK
|
| 214 |
+
(APIServer pid=83) INFO: 100.64.1.4:48924 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
|
| 215 |
+
(APIServer pid=83) INFO 09-05 19:19:05 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 28.7 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 28.1%, Prefix cache hit rate: 29.9%
|
| 216 |
+
(APIServer pid=83) INFO: 100.64.1.1:53126 - "POST /v1/chat/completions HTTP/1.1" 200 OK
|
| 217 |
+
(APIServer pid=83) INFO 09-05 19:19:15 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 1 reqs, GPU KV cache usage: 52.2%, Prefix cache hit rate: 29.9%
|
| 218 |
+
(APIServer pid=83) INFO: 100.64.1.2:39994 - "POST /v1/messages?beta=true HTTP/1.1" 200 OK
|
| 219 |
+
(APIServer pid=83) INFO 09-05 19:19:35 [loggers.py:310] Engine 000: Avg prompt throughput: 26507.6 tokens/s, Avg generation throughput: 36.7 tokens/s, Running: 1 reqs, Waiting: 0 reqs, GPU KV cache usage: 9.5%, Prefix cache hit rate: 29.7%
|
| 220 |
+
(APIServer pid=83) INFO 09-05 19:19:45 [loggers.py:310] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Waiting: 1 reqs, GPU KV cache usage: 37.3%, Prefix cache hit rate: 29.7%
|
| 221 |
--- pont.log (fin) ---
|