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* server: tests: add models endpoint scenario * server: /v1/models add some metadata * server: tests: add debug field in context before scenario * server: tests: download model from HF, add batch size * server: tests: add passkey test * server: tests: add group attention params * server: do not truncate prompt tokens if self-extend through group attention is enabled * server: logs: do not truncate log values * server: tests - passkey - first good working value of nga * server: tests: fix server timeout * server: tests: fix passkey, add doc, fix regex content matching, fix timeout * server: tests: fix regex content matching * server: tests: schedule slow tests on master * server: metrics: fix when no prompt processed * server: tests: self-extend add llama-2-7B and Mixtral-8x7B-v0.1 * server: tests: increase timeout for completion * server: tests: keep only the PHI-2 test * server: tests: passkey add a negative test
56 lines
2.7 KiB
Gherkin
56 lines
2.7 KiB
Gherkin
# run with: ./tests.sh --no-skipped --tags passkey
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@passkey
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@slow
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Feature: Passkey / Self-extend with context shift
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Background: Server startup
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Given a server listening on localhost:8080
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# Generates a long text of junk and inserts a secret passkey number inside it.
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# Then we query the LLM for the secret passkey.
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# see #3856 and #4810
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Scenario Outline: Passkey
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Given a model file <hf_file> from HF repo <hf_repo>
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And <n_batch> as batch size
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And <n_junk> as number of junk
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And <n_predicted> server max tokens to predict
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And 42 as seed
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And <n_ctx> KV cache size
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And 1 slots
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And <n_ga> group attention factor to extend context size through self-extend
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And <n_ga_w> group attention width to extend context size through self-extend
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# Can be override with N_GPU_LAYERS
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And <ngl> GPU offloaded layers
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Then the server is starting
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Then the server is healthy
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Given available models
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Then model 0 is trained on <n_ctx_train> tokens context
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Given a prefix prompt:
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"""
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here is an important info hidden inside a lot of irrelevant text. Find it and memorize them. I will quiz you about the important information there.
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"""
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And a passkey prompt template:
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"""
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The pass key is <passkey> Remember it. <passkey> is the pass key.
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"""
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And a junk suffix prompt:
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"""
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The grass is green. The sky is blue. The sun is yellow. Here we go. There and back again.
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"""
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And a suffix prompt:
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"""
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What is the pass key? The pass key is
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"""
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Given a "<passkey>" passkey challenge prompt with the passkey inserted every <i_pos> junk
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And a completion request with no api error
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Then <n_predicted> tokens are predicted matching <re_content>
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Examples:
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| hf_repo | hf_file | n_ctx_train | ngl | n_ctx | n_batch | n_ga | n_ga_w | n_junk | i_pos | passkey | n_predicted | re_content |
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| TheBloke/phi-2-GGUF | phi-2.Q4_K_M.gguf | 2048 | 5 | 8192 | 512 | 4 | 512 | 250 | 50 | 42 | 1 | 42 |
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| TheBloke/phi-2-GGUF | phi-2.Q4_K_M.gguf | 2048 | 5 | 8192 | 512 | 2 | 512 | 250 | 50 | 42 | 1 | \b((?!42)\w)+\b |
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#| TheBloke/Llama-2-7B-GGUF | llama-2-7b.Q2_K.gguf | 4096 | 3 | 16384 | 512 | 4 | 512 | 500 | 300 | 1234 | 5 | 1234 |
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#| TheBloke/Mixtral-8x7B-v0.1-GGUF | mixtral-8x7b-v0.1.Q2_K.gguf | 32768 | 2 | 16384 | 512 | 4 | 512 | 500 | 100 | 0987 | 5 | 0
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# 987 |
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