mirror of
				https://github.com/ggml-org/llama.cpp.git
				synced 2025-11-03 09:22:01 +00:00 
			
		
		
		
	* common : do not add null tokens during warmup ggml-ci * llama : check that the input tokens are valid ggml-ci * tests : fix batch size of bert model ggml-ci
		
			
				
	
	
		
			100 lines
		
	
	
		
			2.7 KiB
		
	
	
	
		
			Gherkin
		
	
	
	
	
	
			
		
		
	
	
			100 lines
		
	
	
		
			2.7 KiB
		
	
	
	
		
			Gherkin
		
	
	
	
	
	
@llama.cpp
 | 
						|
@embeddings
 | 
						|
Feature: llama.cpp server
 | 
						|
 | 
						|
  Background: Server startup
 | 
						|
    Given a server listening on localhost:8080
 | 
						|
    And   a model url https://huggingface.co/ggml-org/models/resolve/main/bert-bge-small/ggml-model-f16.gguf
 | 
						|
    And   a model file bert-bge-small.gguf
 | 
						|
    And   a model alias bert-bge-small
 | 
						|
    And   42 as server seed
 | 
						|
    And   2 slots
 | 
						|
    # the bert-bge-small model has context size of 512
 | 
						|
    # since the generated prompts are as big as the batch size, we need to set the batch size to 512
 | 
						|
    # ref: https://huggingface.co/BAAI/bge-small-en-v1.5/blob/5c38ec7c405ec4b44b94cc5a9bb96e735b38267a/config.json#L20
 | 
						|
    And   512 as batch size
 | 
						|
    And   512 as ubatch size
 | 
						|
    And   2048 KV cache size
 | 
						|
    And   embeddings extraction
 | 
						|
    Then  the server is starting
 | 
						|
    Then  the server is healthy
 | 
						|
 | 
						|
  Scenario: Embedding
 | 
						|
    When embeddings are computed for:
 | 
						|
    """
 | 
						|
    What is the capital of Bulgaria ?
 | 
						|
    """
 | 
						|
    Then embeddings are generated
 | 
						|
 | 
						|
  Scenario: OAI Embeddings compatibility
 | 
						|
    Given a model bert-bge-small
 | 
						|
    When an OAI compatible embeddings computation request for:
 | 
						|
    """
 | 
						|
    What is the capital of Spain ?
 | 
						|
    """
 | 
						|
    Then embeddings are generated
 | 
						|
 | 
						|
  Scenario: OAI Embeddings compatibility with multiple inputs
 | 
						|
    Given a model bert-bge-small
 | 
						|
    Given a prompt:
 | 
						|
      """
 | 
						|
      In which country Paris is located ?
 | 
						|
      """
 | 
						|
    And a prompt:
 | 
						|
      """
 | 
						|
      Is Madrid the capital of Spain ?
 | 
						|
      """
 | 
						|
    When an OAI compatible embeddings computation request for multiple inputs
 | 
						|
    Then embeddings are generated
 | 
						|
 | 
						|
  Scenario: Multi users embeddings
 | 
						|
    Given a prompt:
 | 
						|
      """
 | 
						|
      Write a very long story about AI.
 | 
						|
      """
 | 
						|
    And a prompt:
 | 
						|
      """
 | 
						|
      Write another very long music lyrics.
 | 
						|
      """
 | 
						|
    And a prompt:
 | 
						|
      """
 | 
						|
      Write a very long poem.
 | 
						|
      """
 | 
						|
    And a prompt:
 | 
						|
      """
 | 
						|
      Write a very long joke.
 | 
						|
      """
 | 
						|
    Given concurrent embedding requests
 | 
						|
    Then the server is busy
 | 
						|
    Then the server is idle
 | 
						|
    Then all embeddings are generated
 | 
						|
 | 
						|
  Scenario: Multi users OAI compatibility embeddings
 | 
						|
    Given a prompt:
 | 
						|
      """
 | 
						|
      In which country Paris is located ?
 | 
						|
      """
 | 
						|
    And a prompt:
 | 
						|
      """
 | 
						|
      Is Madrid the capital of Spain ?
 | 
						|
      """
 | 
						|
    And a prompt:
 | 
						|
      """
 | 
						|
      What is the biggest US city ?
 | 
						|
      """
 | 
						|
    And a prompt:
 | 
						|
      """
 | 
						|
      What is the capital of Bulgaria ?
 | 
						|
      """
 | 
						|
    And   a model bert-bge-small
 | 
						|
    Given concurrent OAI embedding requests
 | 
						|
    Then the server is busy
 | 
						|
    Then the server is idle
 | 
						|
    Then all embeddings are generated
 | 
						|
 | 
						|
  Scenario: All embeddings should be the same
 | 
						|
    Given 10 fixed prompts
 | 
						|
    And   a model bert-bge-small
 | 
						|
    Given concurrent OAI embedding requests
 | 
						|
    Then all embeddings are the same
 |