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初始化项目，由ModelHub XC社区提供模型

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Model: ayh015/myLightningOPD
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2026-08-27 23:50:14 +08:00
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scripts/eval_aime2024.sh Normal file
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export MKL_THREADING_LAYER=GNU
export MKL_SERVICE_FORCE_INTEL=0
export OMP_NUM_THREADS=1
# CUDA_VISIBLE_DEVICES=0 python tools/eval_aime2024_vllm.py \
# --model /mnt/disk1/yihao/Lightning-OPD/model_weights/qwen3-8b \
# --num-gpus 1 \
# --n-samples 1 \
# --temperature 0.0 \
# --top-p 1.0 \
# --max-tokens 32768 \
# --prompt-template paper \
# --hf-cache /mnt/disk1/yihao/hf_cache \
# --output outputs/aime2024_qwen3_8b_paper_n1_32k.jsonl
# CUDA_VISIBLE_DEVICES=0 python tools/eval_aime2024_vllm.py \
# --model /mnt/disk1/yihao/Lightning-OPD/checkpoints/qwen3-4b-poe-distill-lora-opd-ppo-clip-locking-b-5-self-distill-100 \
# --num-gpus 1 \
# --n-samples 1 \
# --temperature 0.0 \
# --top-p 1.0 \
# --max-tokens 32768 \
# --prompt-template paper \
# --hf-cache /mnt/disk1/yihao/hf_cache \
# --output outputs/aime2024_qwen3_8b_paper_n1_32k.jsonl
CUDA_VISIBLE_DEVICES=4,5,6,7 python tools/eval_aime2024_vllm.py \
--model /mnt/disk1/yihao/Lightning-OPD/checkpoints/qwen3-4b-poe-distill-lora-opd-ppo-clip-locking-b-5-self-distill-100 \
--num-gpus 4 \
--n-samples 32 \
--temperature 0.6 \
--top-p 0.95 \
--max-tokens 32768 \
--prompt-template paper \
--hf-cache /mnt/disk1/yihao/hf_cache \
--output outputs/aime2024_qwen3_4b_poe_distill_lora_paper_n1_32k.jsonl \
--enable-thinking
# CUDA_VISIBLE_DEVICES=4,5,6,7 python tools/eval_aime2024_vllm.py \
# --model /mnt/disk1/yihao/Lightning-OPD/checkpoints/qwen3-4b-poe-distill-lora-opd-ppo-clip-60 \
# --num-gpus 4 \
# --n-samples 32 \
# --temperature 0.6 \
# --top-p 0.95 \
# --max-tokens 32768 \
# --enable-thinking \
# --prompt-template paper \
# --hf-cache /mnt/disk1/yihao/hf_cache \
# --output outputs/aime2024_qwen3_4b_lightning_opd_paper_n32_32k.jsonl \