Comments (3)
Thank you so much for your suggestions. I would be super interested in that. At one point we were thinking about hosting the demo but was concerned about the costs... I'll try to file the community GPU grants.
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Thanks for the response. If you have a demo on Spaces, can you raise a request for community grant and provide me with the link too?
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Would be great to have some gradio app and/or some end-to-end jupyter notebook example that extends the examples in the README. (E.g. similar to https://github.com/NielsRogge/Transformers-Tutorials examples)
run...py
seem to be tailored towards the evaluation dataset (e.g. uses args.task == "factscore":
, uses json as input-output) and is currently a bit hard to follow/use.
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Related Issues (20)
- I have create a virtual enviroment in anaconda. However, something went wrong when i try to 'pip install -r requirement' HOT 2
- 4 bit quantized version of 7B?
- How long does it takes to train an epoch for critic/generator model on llama-7B with 8 A100?
- What does YOUR_INPUT_FILE look like? Can you provide an example? Thanks very much! HOT 1
- Explanation needed for [Continue to Use Evidence] HOT 1
- How can I get initial input file for generator?
- model issues
- Processed Input Dataset and Flan-3B Critic Generated Dataset
- Reproducing Self-RAG
- accuracy metric HOT 3
- About parameter `max_depth` HOT 2
- Doesn't the generator need to call the retriever when training the model?
- The critic model will generate different type of token when I use run_reward_vllm.py to generate tokens HOT 1
- some problem with run_long_form_static.py
- Data formatting to call the retriever
- Question Regarding Formula Error in Your Paper
- FactScore Inference Fails with KeyError: 'original_splitted_sentences'
- Incorrect setup of Learning Rate Scheduler HOT 6
- dependency HOT 1
- torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: -9) local_rank: 0 (pid: 14447) of binary: HOT 2
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