anz_llm_bootcamp's People
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abhidatabricks jiaxililearn michael-skl-da khj-parham malachicunliffe kcha193 nuwan-db panosathdbx subratcall soumyapalissery vineetsharma14 srikanthio patchpanel synoptekpawan sofiascat ananyadbj ashesash sahandsydney davehowell pavs23 crankswagon zauralochka adrianemikko agdoko paulcqtruong mmhleung julio-pimentel muhammadmudassirraza12345 vineetvermaml strikingraghu brianyangatds gveerashekar vrkrgithub rohitcoderepo er-vivekkumar arunkhare adityasoni26 manikandanveeruchamy influx6-clover radhakrishnang vs199vishal dhrutik-dpa dellemc-consulting-singapore sumi12021 yasmeensahmed akgeoinsys alexxx-db ayushiborkaranz_llm_bootcamp's Issues
Refactor and extend the advanced chunking tutorial notebook
Add more context info to prompting notebook and improve examples
Difficulty setting up `max_length` in 1_Single_QnA_example notebook
When I load a Llama-2 model and try to get a value back from the query test:
# Test Query 1
query = "What is this document about?"
result = qa.run(query)
print(result)
The response reads:
Input length of input_ids is 2764, but `max_length` is set to 20. This can lead to unexpected behavior. You should consider increasing `max_new_tokens`.
This
And that's it ~ apart from the warning about max_length being set to 20, I get the single word "This".
I have examined the pipe.model.generation_config
and it shows max_length
as 4096 (below), and I cannot figure out what the message is referring to, but it doesn't seem to be this max_length
!
GenerationConfig {
"_from_model_config": true,
"bos_token_id": 1,
"eos_token_id": 2,
"max_length": 4096,
"pad_token_id": 0,
"temperature": 0.9,
"top_p": 0.6,
"transformers_version": "4.29.2"
}
Llama-2 models need authentication
Can you please add the capacity to pass in the current user's Hugging Face token to the use_auth_token
parameter during the initialization of tokenizer, model_config, and model in the 0.1_Huggins_Face_basics, Utils, etc. notebooks? It is required to download the model from the Meta website via Hugging Face.
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