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28103f4832
* Server: add tests for consistent results * sampling: separate rng per sampling context
58 lines
1.2 KiB
Gherkin
58 lines
1.2 KiB
Gherkin
@llama.cpp
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@results
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Feature: Results
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Background: Server startup
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Given a server listening on localhost:8080
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And a model file tinyllamas/split/stories15M-00001-of-00003.gguf from HF repo ggml-org/models
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And a model file test-model-00001-of-00003.gguf
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And 128 as batch size
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And 256 KV cache size
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And 128 max tokens to predict
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Scenario Outline: Multi users completion
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Given <n_slots> slots
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And continuous batching
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Then the server is starting
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Then the server is healthy
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Given 42 as seed
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And a prompt:
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"""
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Write a very long story about AI.
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"""
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Given 42 as seed
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And a prompt:
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"""
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Write a very long story about AI.
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"""
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Given 42 as seed
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And a prompt:
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"""
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Write a very long story about AI.
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"""
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Given 42 as seed
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And a prompt:
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"""
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Write a very long story about AI.
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"""
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Given 42 as seed
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And a prompt:
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"""
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Write a very long story about AI.
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"""
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Given concurrent completion requests
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Then the server is busy
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Then the server is idle
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And all slots are idle
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Then all predictions are equal
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Examples:
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| n_slots |
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| 1 |
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| 2 |
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