Comments (6)
Alot of information is stored in the save directory in history.json for every inference job. It has everything you mentioned, except not perhaps as much detail -- e.g.no input files, but just whether there are input files.
In addition, vLLM or TGI can also change its logging.
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Alot of information is stored in the save directory in history.json for every inference job. It has everything you mentioned, except not perhaps as much detail -- e.g.no input files, but just whether there are input files.
I cant seem to find history.json under /save, is there perhaps a run option that I'm missing?
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--save_dir=foo
will place it in foo
directory relative to startup in repo.
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--save_dir=foo
will place it infoo
directory relative to startup in repo.
Great! It works now.
though I'm missing the docs/chunks used in the job. I really think it needs to be added.
I have noticed that the docs being loaded when using the h2oGPT interface is different than those used when requesting the same instruction through a gradio client(i inferred this from the fact that the "num_prompt_tokens" value is higher when handling gradio client requests), it's causing my model to behave differently (worse in my case)
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Hi, the API call and history.json does contain 'save_dict['sources']` as the list of sources used.
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I see, thanks!
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Related Issues (20)
- Is there a plan to incorporate a Knowledge Graph RAG Query Engine? HOT 1
- Option to place relavent documents chunks in system prompt instead of user prompt
- AutoGPT issue running on Local LLM HOT 2
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- Traceback: 'NoneType' object is not iterable (gen.py, line 2435) HOT 1
- Gradio Client - Repeated WebSocket Connection Rejection (HTTP 403) HOT 1
- Can we query Qdrant directly without needing sources? HOT 4
- Offline mode is still attempting to fetch from HF HOT 4
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