Comments (1)
Hi @sumitsoman,
The issue you encountered should now be resolved. We have recently made significant updates to ARES, including integrating support for vLLM, which enables users to run models locally. Please refer to the latest version of ARES here and follow the updated instructions in the quick start guide.
Let us know if you encounter any further issues!
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Related Issues (20)
- Missing packages in linked Colab notebook HOT 3
- getting TypeError: 'type' object is not subscriptable when importing the package HOT 1
- [bug] error during import - vLLM not imported. HOT 1
- Missing protobuf dependencies in ARES 0.6.1 PyPi package HOT 1
- Evaluating more than one dataset at a time returns incorrect results
- Evaluation process only works with demo datasets, fails with any real dataset (that has only the columns described in the paper) HOT 2
- None of the tutorials work HOT 9
- ARES as a Chunk Reranker in a RAG app? HOT 3
- TGI Support
- LLM approach for synthetic query generation not using specified prompt HOT 1
- Azure OpenAI support HOT 1
- Other checkpoints HOT 1
- OutOfMemoryError when Running Example Code with ARES HOT 1
- The local model needs to pass in a token in order to request it, May I ask if there is such a parameter HOT 1
- Training classifiers error
- Unclear about the code of calculate_ppi function HOT 1
- Reproducing results HOT 3
- Error while training LLM judge HOT 4
- Error while evaluating with PPI with API model LLM judge
- Error while training classifier
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from ares.