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Missing thinking tokens flag for no budget forcing eval #100

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Missing thinking tokens flag for no budget forcing eval #100

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73dc02f
add missing thinking tokens flag
kothasuhas Mar 17, 2025
f915b6c
changing from auto to higher value
kothasuhas Mar 17, 2025
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2 changes: 1 addition & 1 deletion eval/commands.sh
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Expand Up @@ -19,7 +19,7 @@ OPENAI_API_KEY=YOUR_OPENAI_KEY PROCESSOR=gpt-4o-mini lm_eval --model vllm --mode
OPENAI_API_KEY=YOUR_OPENAI_KEY PROCESSOR=gpt-4o-mini lm_eval --model vllm --model_args pretrained=simplescaling/s1.1-32B,dtype=float32,tensor_parallel_size=8 --tasks aime25_nofigures,aime24_nofigures,openai_math,gpqa_diamond_openai --batch_size auto --apply_chat_template --output_path s1.1forcingignore2wait --log_samples --gen_kwargs "max_gen_toks=32768,max_tokens_thinking=auto,thinking_n_ignore=2,thinking_n_ignore_str=Wait"

### s1 without budget forcing ###
OPENAI_API_KEY=YOUR_OPENAI_KEY PROCESSOR=gpt-4o-mini lm_eval --model vllm --model_args pretrained=simplescaling/s1-32B,tokenizer=Qwen/Qwen2.5-32B-Instruct,dtype=float32,tensor_parallel_size=8 --tasks aime24_figures,aime24_nofigures,openai_math,gpqa_diamond_openai --batch_size auto --apply_chat_template --output_path nottc --log_samples --gen_kwargs max_gen_toks=32768
OPENAI_API_KEY=YOUR_OPENAI_KEY PROCESSOR=gpt-4o-mini lm_eval --model vllm --model_args pretrained=simplescaling/s1-32B,tokenizer=Qwen/Qwen2.5-32B-Instruct,dtype=float32,tensor_parallel_size=8 --tasks aime24_figures,aime24_nofigures,openai_math,gpqa_diamond_openai --batch_size auto --apply_chat_template --output_path nottc --log_samples --gen_kwargs "max_gen_toks=32768,max_tokens_thinking=34000"

### s1 Budget Forcing ###
OPENAI_API_KEY=YOUR_OPENAI_KEY PROCESSOR=gpt-4o-mini lm_eval --model vllm --model_args pretrained=simplescaling/s1-32B,tokenizer=Qwen/Qwen2.5-32B-Instruct,dtype=float32,tensor_parallel_size=8 --tasks aime24_figures,aime24_nofigures,openai_math,gpqa_diamond_openai --batch_size auto --apply_chat_template --output_path forcing1k --log_samples --gen_kwargs "max_gen_toks=32768,max_tokens_thinking=500"
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