WIP watch diff with upstream main branch#6
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Jeronymous wants to merge 68 commits intoupstream-mainfrom
Open
WIP watch diff with upstream main branch#6Jeronymous wants to merge 68 commits intoupstream-mainfrom
Jeronymous wants to merge 68 commits intoupstream-mainfrom
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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
…it (>= 0.15).
Unfortunately, it currently fails with VLLM 0.15.1 in our env:
File ".../vllm/v1/worker/gpu_worker.py", line 412, in initialize_from_config
self.model_runner.initialize_kv_cache(kv_cache_config)
File ".../vllm/v1/worker/gpu_model_runner.py", line 5874, in initialize_kv_cache
self.initialize_attn_backend(kv_cache_config)
File ".../vllm/v1/worker/gpu_model_runner.py", line 5225, in initialize_attn_backend
check_attention_cp_compatibility(self.vllm_config)
File ".../vllm/v1/worker/cp_utils.py", line 39, in check_attention_cp_compatibility
assert layer_impl.supports_pcp, (
AssertionError: PCP requires attention impls' support, but the impl FlashAttentionImpl does not support PCP.
Fix multi-parallelism (TP+DP or PP+DP)
Add MathAlea French math MCQ community task
Add Red Teaming benchmark based on AvgBench
Upstream refactor splits src/lighteval/tasks into per-task files under src/lighteval/tasks/tasks/ and src/lighteval/tasks/multilingual/tasks/, drops default_tasks.py / default_prompts.py / multilingual/tasks.py, and removes the suite field from LightevalTaskConfig. Port our edits to the new structure: - tasks/gsm_plus.py: generation_size 16384 - tasks/gsm8k.py: generation_size 2048 - tasks/mgsm.py: hf_revision, suffix exact_match + expr_gold_metric, language-specific stop sequences for all 11 subsets - tasks/piqa.py: switch to lighteval/piqa mirror - tasks/siqa.py: pin hf_revision - tasks/mmlu_pro.py: fix upstream's hardcoded ABCD letters so the prompt uses dynamic letters based on the number of options; add a parallel mmlu_pro_raw task exposing the handmade prompt (no inspect_ai) - tasks/ruler.py: new home for the ruler prompt helper - tasks/advbench.py: move here from community_tasks/ - multilingual/tasks/mathalea.py: move here from community_tasks/ - multilingual/tasks/french.py: keep jzhang86/fr_ifeval fallback and the generative GPQA-fr-diamond variant with prompt_gpqa_fr_instruct Other conflict resolutions: - pyproject.toml: take upstream unpinned transformers, vllm>=0.11.0, new inspect-ai and openai deps - vllm_model.py: keep max_seq_len_to_capture fallback, Mistral eos_token guard, prefix-cache None-skip in logprob loop, and skip_reading_prefix_cache via guarded attribute assignment; adopt upstream's build_vllm_token_prompts helper - llm_as_judge.py: keep max_model_len=65536, adopt upstream's api_key/base_url litellm pass-through - lighteval_task.py: preserve name/data_dir fallback in load_dataset while picking up upstream's data_files support; keep partial args detail in __str__ for deterministic cache hashing - cache_management.py: adopt name-only task_to_configs lookup; keep regex that strips function memory addresses for hash determinism
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