perf: serve quantized Psyfighter2 #81
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sambarnes
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Mar 19, 2024
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| _psyfighter2 = "TheBloke/LLaMA2-13B-Psyfighter2-GPTQ" | ||
| VllmContainer_KoboldAIPsyfighter2 = _make_container( | ||
| name="VllmContainer_KoboldAIPsyfighter2", | ||
| model_name="KoboldAI/LLaMA2-13B-Psyfighter2", | ||
| gpu=modal.gpu.A100(count=1, memory=40), | ||
| concurrent_inputs=32, | ||
| model_name=_psyfighter2, | ||
| gpu=modal.gpu.A10G(count=1), | ||
| concurrent_inputs=4, | ||
| max_containers=5, | ||
| quantization="GPTQ", |
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we get like max 10 requests a minute for this model. think this allocation should be more than enough, might be able to further reduce batch size for better throughput floor
will try this first tho
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