WIP watch diff with upstream main branch - #6
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…ion of the dataset)
…q len (131072) is larger than the maximum number of tokens that can be stored in KV cache (130944). Try increasing `gpu_memory_utilization` or decreasing `max_model_len` when initializing the engine"
…and new version of the dataset is different)
…t it has eos_token_id)
…o avoid failures or NaN
litellm.completion expects an int, not a (N,) tuple.
Current RAG-style tasks need the row-specific retrieved context to live in the system role, not prepended to the user query. Opt-in flag keeps all existing tasks unchanged.
…ge LLM (to avoid some memory errors)
squad_v2 was filtering out questions with no answer, which is exactly the half of the dataset that tests refusal behavior. Replace the filter with an explicit "unanswerable" choice.
…options, not all the possible ones. Also increase generation_size from 100 to 1024 (for thinking models)
The generator had been narrowed to MCFFormulation + the ALL label only, which dropped the _cf/_hybrid variants and the CA/CS/UNK labels. Restore the full formulation list and sensitivity labels.
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…kken + max_images to skip vision profiling)
…dict=False to get token ids, not a BatchEncoding)
…match of the instruction)
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