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![]() * add ceval, gsm8k modelscope surpport * update race, mmlu, arc, cmmlu, commonsenseqa, humaneval and unittest * update bbh, flores, obqa, siqa, storycloze, summedits, winogrande, xsum datasets * format file * format file * update dataset format * support ms_dataset * udpate dataset for modelscope support * merge myl_dev and update test_ms_dataset * udpate dataset for modelscope support * update readme * update eval_api_zhipu_v2 * remove unused code * add get_data_path function * update readme * remove tydiqa japanese subset * add ceval, gsm8k modelscope surpport * update race, mmlu, arc, cmmlu, commonsenseqa, humaneval and unittest * update bbh, flores, obqa, siqa, storycloze, summedits, winogrande, xsum datasets * format file * format file * update dataset format * support ms_dataset * udpate dataset for modelscope support * merge myl_dev and update test_ms_dataset * update readme * udpate dataset for modelscope support * update eval_api_zhipu_v2 * remove unused code * add get_data_path function * remove tydiqa japanese subset * update util * remove .DS_Store * fix md format * move util into package * update docs/get_started.md * restore eval_api_zhipu_v2.py, add environment setting * Update dataset * Update * Update * Update * Update --------- Co-authored-by: Yun lin <yunlin@U-Q9X2K4QV-1904.local> Co-authored-by: Yunnglin <mao.looper@qq.com> Co-authored-by: Yun lin <yunlin@laptop.local> Co-authored-by: Yunnglin <maoyl@smail.nju.edu.cn> Co-authored-by: zhangsongyang <zhangsongyang@pjlab.org.cn> |
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.. | ||
gpqa_gen_4baadb.py | ||
gpqa_gen_015262.py | ||
gpqa_gen.py | ||
gpqa_openai_simple_evals_gen_5aeece.py | ||
gpqa_ppl_6bf57a.py | ||
README.md |
GPQA
python3 run.py --models hf_internlm2_7b --datasets gpqa_ppl_6bf57a --debug
python3 run.py --models hf_internlm2_chat_7b --datasets gpqa_gen_4baadb --debug
Base Models
model | GPQA_diamond |
---|---|
llama-7b-turbomind | 24.24 |
llama-13b-turbomind | 25.25 |
llama-30b-turbomind | 22.73 |
llama-65b-turbomind | 21.72 |
llama-2-7b-turbomind | 25.25 |
llama-2-13b-turbomind | 23.74 |
llama-2-70b-turbomind | 28.28 |
llama-3-8b-turbomind | 31.82 |
llama-3-70b-turbomind | 40.91 |
internlm2-1.8b-turbomind | 24.24 |
internlm2-7b-turbomind | 28.28 |
internlm2-20b-turbomind | 31.31 |
qwen-1.8b-turbomind | 28.79 |
qwen-7b-turbomind | 24.75 |
qwen-14b-turbomind | 27.78 |
qwen-72b-turbomind | 31.31 |
qwen1.5-0.5b-hf | 23.74 |
qwen1.5-1.8b-hf | 28.79 |
qwen1.5-4b-hf | 23.23 |
qwen1.5-7b-hf | 20.71 |
qwen1.5-14b-hf | 32.32 |
qwen1.5-32b-hf | 30.81 |
qwen1.5-72b-hf | 31.82 |
qwen1.5-moe-a2-7b-hf | 28.79 |
mistral-7b-v0.1-hf | 24.75 |
mistral-7b-v0.2-hf | 23.74 |
mixtral-8x7b-v0.1-hf | 28.79 |
mixtral-8x22b-v0.1-hf | 36.36 |
yi-6b-hf | 28.28 |
yi-34b-hf | 35.86 |
deepseek-7b-base-hf | 20.71 |
deepseek-67b-base-hf | 25.25 |
Chat Models
model | GPQA_diamond |
---|---|
qwen1.5-0.5b-chat-hf | 19.70 |
qwen1.5-1.8b-chat-hf | 29.80 |
qwen1.5-4b-chat-hf | 25.25 |
qwen1.5-7b-chat-hf | 31.82 |
qwen1.5-14b-chat-hf | 30.30 |
qwen1.5-32b-chat-hf | 31.31 |
qwen1.5-72b-chat-hf | 32.83 |
qwen1.5-110b-chat-hf | 35.86 |
internlm2-chat-1.8b-hf | 25.76 |
internlm2-chat-1.8b-sft-hf | 26.26 |
internlm2-chat-7b-hf | 28.28 |
internlm2-chat-7b-sft-hf | 27.27 |
internlm2-chat-20b-hf | 30.30 |
internlm2-chat-20b-sft-hf | 29.29 |
llama-3-8b-instruct-hf | 25.76 |
llama-3-70b-instruct-hf | 37.88 |
llama-3-8b-instruct-lmdeploy | 25.76 |
llama-3-70b-instruct-lmdeploy | 37.88 |
mistral-7b-instruct-v0.1-hf | 30.30 |
mistral-7b-instruct-v0.2-hf | 25.25 |
mixtral-8x7b-instruct-v0.1-hf | 30.30 |