mirror of https://github.com/ggerganov/llama.cpp.git synced 2024-12-29 07:34:18 +01:00

History

Georgi Gerganov f4d2b8846a llama : add reranking support (#9510 ) * py : add XLMRobertaForSequenceClassification [no ci] * py : fix scalar-tensor conversion [no ci] * py : fix position embeddings chop [no ci] * llama : read new cls tensors [no ci] * llama : add classigication head (wip) [no ci] * llama : add "rank" pooling type ggml-ci * server : add rerank endpoint ggml-ci * llama : aboud ggml_repeat during classification * rerank : cleanup + comments * server : accept /rerank endpoint in addition to /v1/rerank [no ci] * embedding : parse special tokens * jina : support v1 reranker * vocab : minor style ggml-ci * server : initiate tests for later ggml-ci * server : add docs * llama : add comment [no ci] * llama : fix uninitialized tensors * ci : add rerank tests ggml-ci * add reranking test * change test data * Update examples/server/server.cpp Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com> * add `--reranking` argument * update server docs * llama : fix comment [no ci] ggml-ci --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co> Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>		2024-09-28 17:42:03 +03:00
..
features	llama : add reranking support (#9510 )	2024-09-28 17:42:03 +03:00
.gitignore	common : reimplement logging (#9418 )	2024-09-15 20:46:12 +03:00
README.md	common : reimplement logging (#9418 )	2024-09-15 20:46:12 +03:00
requirements.txt	server : add lora hotswap endpoint (WIP) (#8857 )	2024-08-06 17:33:39 +02:00
tests.sh	tests : minor bash stuff (#6902 )	2024-04-25 14:27:20 +03:00

README.md

Server tests

Python based server tests scenario using BDD and behave:

issues.feature Pending issues scenario
parallel.feature Scenario involving multi slots and concurrent requests
security.feature Security, CORS and API Key
server.feature Server base scenario: completion, embedding, tokenization, etc...

Tests target GitHub workflows job runners with 4 vCPU.

Requests are using aiohttp, asyncio based http client.

Note: If the host architecture inference speed is faster than GitHub runners one, parallel scenario may randomly fail. To mitigate it, you can increase values in n_predict, kv_size.

Install dependencies

pip install -r requirements.txt

Run tests

Build the server

cd ../../..
cmake -B build -DLLAMA_CURL=ON
cmake --build build --target llama-server

Start the test: ./tests.sh

It's possible to override some scenario steps values with environment variables:

variable	description
`PORT`	`context.server_port` to set the listening port of the server during scenario, default: `8080`
`LLAMA_SERVER_BIN_PATH`	to change the server binary path, default: `../../../build/bin/llama-server`
`DEBUG`	"ON" to enable steps and server verbose mode `--verbose`
`N_GPU_LAYERS`	number of model layers to offload to VRAM `-ngl --n-gpu-layers`

Run @bug, @wip or @wrong_usage annotated scenario

Feature or Scenario must be annotated with @llama.cpp to be included in the default scope.

@bug annotation aims to link a scenario with a GitHub issue.
@wrong_usage are meant to show user issue that are actually an expected behavior
@wip to focus on a scenario working in progress
@slow heavy test, disabled by default

To run a scenario annotated with @bug, start:

DEBUG=ON ./tests.sh --no-skipped --tags bug --stop

After changing logic in steps.py, ensure that @bug and @wrong_usage scenario are updated.

./tests.sh --no-skipped --tags bug,wrong_usage || echo "should failed but compile"