mirror of
https://github.com/ggerganov/llama.cpp.git
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8843a98c2b
* args: default --model to models/ + filename from --model-url or --hf-file (or else legacy models/7B/ggml-model-f16.gguf) * args: main & server now call gpt_params_handle_model_default * args: define DEFAULT_MODEL_PATH + update cli docs * curl: check url of previous download (.json metadata w/ url, etag & lastModified) * args: fix update to quantize-stats.cpp * curl: support legacy .etag / .lastModified companion files * curl: rm legacy .etag file support * curl: reuse regex across headers callback calls * curl: unique_ptr to manage lifecycle of curl & outfile * curl: nit: no need for multiline regex flag * curl: update failed test (model file collision) + gitignore *.gguf.json
97 lines
2.4 KiB
Gherkin
97 lines
2.4 KiB
Gherkin
@llama.cpp
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@embeddings
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Feature: llama.cpp server
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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 url https://huggingface.co/ggml-org/models/resolve/main/bert-bge-small/ggml-model-f16.gguf
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And a model file bert-bge-small.gguf
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And a model alias bert-bge-small
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And 42 as server seed
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And 2 slots
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And 1024 as batch size
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And 1024 as ubatch size
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And 2048 KV cache size
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And embeddings extraction
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Then the server is starting
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Then the server is healthy
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Scenario: Embedding
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When embeddings are computed for:
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"""
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What is the capital of Bulgaria ?
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"""
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Then embeddings are generated
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Scenario: OAI Embeddings compatibility
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Given a model bert-bge-small
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When an OAI compatible embeddings computation request for:
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"""
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What is the capital of Spain ?
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"""
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Then embeddings are generated
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Scenario: OAI Embeddings compatibility with multiple inputs
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Given a model bert-bge-small
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Given a prompt:
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"""
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In which country Paris is located ?
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"""
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And a prompt:
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"""
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Is Madrid the capital of Spain ?
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"""
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When an OAI compatible embeddings computation request for multiple inputs
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Then embeddings are generated
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Scenario: Multi users embeddings
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Given 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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And a prompt:
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"""
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Write another very long music lyrics.
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"""
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And a prompt:
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"""
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Write a very long poem.
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"""
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And a prompt:
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"""
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Write a very long joke.
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"""
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Given concurrent embedding requests
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Then the server is busy
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Then the server is idle
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Then all embeddings are generated
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Scenario: Multi users OAI compatibility embeddings
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Given a prompt:
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"""
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In which country Paris is located ?
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"""
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And a prompt:
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"""
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Is Madrid the capital of Spain ?
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"""
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And a prompt:
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"""
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What is the biggest US city ?
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"""
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And a prompt:
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"""
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What is the capital of Bulgaria ?
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"""
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And a model bert-bge-small
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Given concurrent OAI embedding requests
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Then the server is busy
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Then the server is idle
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Then all embeddings are generated
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Scenario: All embeddings should be the same
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Given 10 fixed prompts
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And a model bert-bge-small
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Given concurrent OAI embedding requests
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Then all embeddings are the same
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