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Merged
merged 11 commits into from
Oct 3, 2025
Merged

missing task parameter added, unified commands #3672

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e7affbd
missing task parameter added, unify command running
przepeck Sep 30, 2025
e99ef92
adding hf token env to enable model pulling
przepeck Oct 1, 2025
5186578
updated hftoken at the correct place
przepeck Oct 1, 2025
3237996
Removing HF_TOKEN, because tests now handle this case
przepeck Oct 2, 2025
9d1ec81
adding hf cache to the docker files
przepeck Oct 2, 2025
0fdc166
adding labels for advancement level
przepeck Oct 2, 2025
818aea9
corrected parameter position
przepeck Oct 2, 2025
10cef72
Changed requirements link to enable windows tests
przepeck Oct 2, 2025
b4d3f5b
changed env variable to be consistant with windows
przepeck Oct 2, 2025
4870fdc
changed path to fit windows convention, added linux alternative
przepeck Oct 2, 2025
70570d8
Merge branch 'main' into przepeck/missing_task_parameter
przepeck Oct 3, 2025
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12 changes: 6 additions & 6 deletions demos/continuous_batching/rag/README.md
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Expand Up @@ -26,9 +26,9 @@ docker run --user $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/mo
```bat
mkdir models

ovms.exe --pull --model_repository_path models --source_model OpenVINO/Qwen3-8B-int4-ov --task text_generation
ovms.exe --pull --model_repository_path models --source_model OpenVINO/bge-base-en-v1.5-fp16-ov --task embeddings
ovms.exe --pull --model_repository_path models --source_model OpenVINO/bge-reranker-base-fp16-ov --task rerank
ovms --pull --model_repository_path models --source_model OpenVINO/Qwen3-8B-int4-ov --task text_generation
ovms --pull --model_repository_path models --source_model OpenVINO/bge-base-en-v1.5-fp16-ov --task embeddings
ovms --pull --model_repository_path models --source_model OpenVINO/bge-reranker-base-fp16-ov --task rerank

ovms --add_to_config models --model_name OpenVINO/Qwen3-8B-int4-ov --model_path OpenVINO/Qwen3-8B-int4-ov
ovms --add_to_config models --model_name OpenVINO/bge-base-en-v1.5-fp16-ov --model_path OpenVINO/bge-base-en-v1.5-fp16-ov
Expand All @@ -47,7 +47,7 @@ git clone https://github.com/openvinotoolkit/model_server.git
cd model_server
make python_image
mkdir models
docker run --user $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/model_server:py --pull --model_repository_path /models --source_model meta-llama/Meta-Llama-3-8B-Instruct
docker run -e HF_TOKEN=<hf_token> --user $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/model_server:py --pull --model_repository_path /models --source_model meta-llama/Meta-Llama-3-8B-Instruct --task text_generation
docker run --user $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/model_server:py --pull --model_repository_path /models --source_model OpenVINO/bge-base-en-v1.5-fp16-ov --task embeddings
docker run --user $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/model_server:py --pull --model_repository_path /models --source_model BAAI/bge-reranker-large --task rerank

Expand All @@ -64,7 +64,7 @@ docker run --user $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/mo
pip3 install -r https://raw.githubusercontent.com/openvinotoolkit/model_server/refs/heads/releases/2025/3/demos/common/export_models/requirements.txt
pip3 install -q -r requirements.txt
mkdir models
ovms --pull --model_repository_path models --source_model meta-llama/Meta-Llama-3-8B-Instruct
ovms --pull --model_repository_path models --source_model meta-llama/Meta-Llama-3-8B-Instruct --task text_generation
ovms --pull --model_repository_path models --source_model Alibaba-NLP/gte-large-en-v1.5 --task embeddings
ovms --pull --model_repository_path models --source_model BAAI/bge-reranker-large --task rerank

Expand Down Expand Up @@ -107,4 +107,4 @@ ovms --rest_port 8000 --config_path models\config.json

## Using RAG

When the model server is deployed and serving all 3 endpoints, run the [jupyter notebook](https://github.com/openvinotoolkit/model_server/blob/main/demos/continuous_batching/rag/rag_demo.ipynb) to use RAG chain with a fully remote execution.
When the model server is deployed and serving all 3 endpoints, run the [jupyter notebook](https://github.com/openvinotoolkit/model_server/blob/main/demos/continuous_batching/rag/rag_demo.ipynb) to use RAG chain with a fully remote execution.