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README.md
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- deepseek-ai/DeepSeek-R1
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base_model_relation: quantized
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---
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# DeepSeek-
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This model is a W4AFP8 quantized DeepSeek-
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Releated PR:https://github.com/sgl-project/sglang/pull/8573
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Releated Project: https://github.com/TMElyralab/sglang/tree/lyra_w4afp8
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------
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<!-- markdownlint-disable first-line-h1 -->
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- deepseek-ai/DeepSeek-R1
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base_model_relation: quantized
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---
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# DeepSeek-V3.1-W4AFP8
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This model is a W4AFP8 quantized DeepSeek-V3.1 with AWQ quantizaton.
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Releated PR:https://github.com/sgl-project/sglang/pull/8573
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Releated Project: https://github.com/TMElyralab/sglang/tree/lyra_w4afp8
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## Benchmark
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Test configuration: input/output len = 1000/1000, qps=64, max_concurrency=64, num_prompt=128
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Device: H20 * 8
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Compared to the original model:
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- bs=64,input/output throughput has increased by 56%.
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- bs=128,input/output throughput has increased by 125%.
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```
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============ Serving Benchmark Result ============
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Backend: sglang
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Max request concurrency: 64
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Successful requests: 128
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Benchmark duration (s): 105.50
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Total input tokens: 128000
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Total generated tokens: 128000
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Total generated tokens (retokenized): 127551
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Request throughput (req/s): 1.21
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Input token throughput (tok/s): 1213.24
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Output token throughput (tok/s): 1213.24
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Total token throughput (tok/s): 2426.49
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Concurrency: 63.97
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----------------End-to-End Latency----------------
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Mean E2E Latency (ms): 52728.31
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Median E2E Latency (ms): 52728.33
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---------------Time to First Token----------------
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Mean TTFT (ms): 5444.26
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Median TTFT (ms): 5425.69
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P99 TTFT (ms): 8768.54
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---------------Inter-Token Latency----------------
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Mean ITL (ms): 47.33
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Median ITL (ms): 44.18
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P95 ITL (ms): 46.58
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P99 ITL (ms): 46.76
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Max ITL (ms): 7819.3
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==================================================
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```
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------
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<!-- markdownlint-disable first-line-h1 -->
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