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merge-math-test
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Base model is: /zju_0038/wyy/mergebench/models/Llama-3.2-3B
Models to be merged are: ['/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-algebra', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-analysis', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-number_theory', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-discrete', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-biology', '/zju_0038/yifyang/scripts/models/llama-3.2-Korean-Bllossom-3B', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-code', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-Instruct-tuned', '/zju_0038/yifyang/scripts/models/Llama3.2-3B-ShiningValiant2', '/zju_0038/yifyang/scripts/models/FineMath-Llama-3B', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B_MATH_lisa', '/zju_0038/yifyang/scripts/models/saves_llama3.2_3b_origianl_MATH_training_rewrite_common_normal', '/zju_0038/yifyang/scripts/models/GSM8K-Binary_Llama-3.2-3B-ihl420el', '/zju_0038/yifyang/scripts/models/saves_llama3.2_3b_origianl_MATH_training_rewrite_common_shorter_8b', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-math-SFT', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-math-R3']
Scaling coefficient is 0.1
Merging conducted on cpu
Loading base model in offline mode...

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Loading tokenizer in offline mode...
Loading candidate model 1/16: llama-instruct-3B-v2-algebra

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Loading candidate model 2/16: llama-instruct-3B-v2-analysis

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Loading candidate model 3/16: llama-instruct-3B-v2-number_theory

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Loading candidate model 4/16: llama-instruct-3B-v2-discrete

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Loading candidate model 5/16: llama-instruct-3B-v2-biology

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Loading candidate model 6/16: llama-3.2-Korean-Bllossom-3B

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Loading candidate model 7/16: llama-instruct-3B-v2-code

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Loading candidate model 8/16: Llama-3.2-3B-Instruct-tuned

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Loading candidate model 9/16: Llama3.2-3B-ShiningValiant2

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`rope_scaling`'s original_max_position_embeddings field must be less than max_position_embeddings, got 8192 and max_position_embeddings=4096
Loading candidate model 10/16: FineMath-Llama-3B

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Loading candidate model 11/16: Llama-3.2-3B_MATH_lisa

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Loading candidate model 12/16: saves_llama3.2_3b_origianl_MATH_training_rewrite_common_normal

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Loading candidate model 13/16: GSM8K-Binary_Llama-3.2-3B-ihl420el

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Loading candidate model 14/16: saves_llama3.2_3b_origianl_MATH_training_rewrite_common_shorter_8b

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Loading candidate model 15/16: Llama-3.2-3B-math-SFT

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Loading candidate model 16/16: Llama-3.2-3B-math-R3

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Saving model to /zju_0038/yifyang/co-genai/Merging-Scaling-Law-main/models/merged/Llama-3B-cmb/task_arithmetic_16/sc0.1_r0/1-2-3-5-8-9-10-11-14-15-16-18-20-21-22-23
[2025-10-20 04:50:49,274] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[1760972943.484738] [3fvqg0kuu45gn-0:85616:f]        vfs_fuse.c:281  UCX  ERROR inotify_add_watch(/tmp) failed: No space left on device
Base model is: /zju_0038/wyy/mergebench/models/Llama-3.2-3B
Models to be merged are: ['/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-algebra', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-analysis', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-number_theory', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-discrete', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-biology', '/zju_0038/yifyang/scripts/models/llama-3.2-Korean-Bllossom-3B', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-code', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-Instruct-tuned', '/zju_0038/yifyang/scripts/models/Llama3.2-3B-ShiningValiant2', '/zju_0038/yifyang/scripts/models/FineMath-Llama-3B', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B_MATH_lisa', '/zju_0038/yifyang/scripts/models/saves_llama3.2_3b_origianl_MATH_training_rewrite_common_normal', '/zju_0038/yifyang/scripts/models/GSM8K-Binary_Llama-3.2-3B-ihl420el', '/zju_0038/yifyang/scripts/models/saves_llama3.2_3b_origianl_MATH_training_rewrite_common_shorter_8b', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-math-SFT', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-math-R3']
Scaling coefficient is 0.1
Merging conducted on cpu
Loading base model in offline mode...

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Loading tokenizer in offline mode...
Loading candidate model 1/16: llama-instruct-3B-v2-algebra

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Loading candidate model 2/16: llama-instruct-3B-v2-analysis

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Loading candidate model 3/16: llama-instruct-3B-v2-number_theory

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Loading candidate model 4/16: llama-instruct-3B-v2-discrete

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Loading candidate model 5/16: llama-instruct-3B-v2-biology

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Loading candidate model 6/16: llama-3.2-Korean-Bllossom-3B

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Loading candidate model 7/16: llama-instruct-3B-v2-code

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Loading candidate model 8/16: Llama-3.2-3B-Instruct-tuned

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Loading candidate model 9/16: Llama3.2-3B-ShiningValiant2

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`rope_scaling`'s original_max_position_embeddings field must be less than max_position_embeddings, got 8192 and max_position_embeddings=4096
Loading candidate model 10/16: FineMath-Llama-3B

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Loading candidate model 11/16: Llama-3.2-3B_MATH_lisa

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Loading candidate model 12/16: saves_llama3.2_3b_origianl_MATH_training_rewrite_common_normal

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Loading candidate model 13/16: GSM8K-Binary_Llama-3.2-3B-ihl420el

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Loading candidate model 14/16: saves_llama3.2_3b_origianl_MATH_training_rewrite_common_shorter_8b

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Loading candidate model 15/16: Llama-3.2-3B-math-SFT

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Loading candidate model 16/16: Llama-3.2-3B-math-R3

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Saving model to /zju_0038/yifyang/co-genai/Merging-Scaling-Law-main/models/merged/Llama-3B-cmb/task_arithmetic_16/sc0.1_r0/1-2-3-5-8-9-10-11-14-15-16-18-20-21-22-23
[2025-10-20 15:14:35,446] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
 [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
 [WARNING]  async_io: please install the libaio-dev package with apt
 [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
 [WARNING]  Please specify the CUTLASS repo directory as environment variable $CUTLASS_PATH
 [WARNING]  sparse_attn requires a torch version >= 1.5 and < 2.0 but detected 2.3
 [WARNING]  using untested triton version (3.0.0), only 1.0.0 is known to be compatible
Base model is: /zju_0038/wyy/mergebench/models/Llama-3.2-3B
Models to be merged are: ['/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-algebra', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-analysis', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-number_theory', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-discrete', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-biology', '/zju_0038/yifyang/scripts/models/llama-3.2-Korean-Bllossom-3B', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-code', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-Instruct-tuned', '/zju_0038/yifyang/scripts/models/Llama3.2-3B-ShiningValiant2', '/zju_0038/yifyang/scripts/models/FineMath-Llama-3B', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B_MATH_lisa', '/zju_0038/yifyang/scripts/models/saves_llama3.2_3b_origianl_MATH_training_rewrite_common_normal', '/zju_0038/yifyang/scripts/models/GSM8K-Binary_Llama-3.2-3B-ihl420el', '/zju_0038/yifyang/scripts/models/saves_llama3.2_3b_origianl_MATH_training_rewrite_common_shorter_8b', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-math-SFT', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-math-R3']
Scaling coefficient is 0.1
Merging conducted on cpu
Loading base model in offline mode...

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Loading tokenizer in offline mode...
Loading candidate model 1/16: llama-instruct-3B-v2-algebra

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Loading candidate model 2/16: llama-instruct-3B-v2-analysis

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Loading candidate model 3/16: llama-instruct-3B-v2-number_theory

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Loading candidate model 4/16: llama-instruct-3B-v2-discrete

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Loading candidate model 5/16: llama-instruct-3B-v2-biology

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Loading candidate model 6/16: llama-3.2-Korean-Bllossom-3B

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Loading candidate model 7/16: llama-instruct-3B-v2-code

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Loading candidate model 8/16: Llama-3.2-3B-Instruct-tuned

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Loading candidate model 9/16: Llama3.2-3B-ShiningValiant2

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`rope_scaling`'s original_max_position_embeddings field must be less than max_position_embeddings, got 8192 and max_position_embeddings=4096
Loading candidate model 10/16: FineMath-Llama-3B

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Loading candidate model 11/16: Llama-3.2-3B_MATH_lisa

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Loading candidate model 12/16: saves_llama3.2_3b_origianl_MATH_training_rewrite_common_normal

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Loading candidate model 13/16: GSM8K-Binary_Llama-3.2-3B-ihl420el

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Loading candidate model 14/16: saves_llama3.2_3b_origianl_MATH_training_rewrite_common_shorter_8b

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Loading candidate model 15/16: Llama-3.2-3B-math-SFT

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Loading candidate model 16/16: Llama-3.2-3B-math-R3

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Saving model to /zju_0038/yifyang/co-genai/Merging-Scaling-Law-main/models/merged/Llama-3B-cmb/task_arithmetic_16/sc0.1_r0/1-2-3-5-8-9-10-11-14-15-16-18-20-21-22-23
[2025-10-21 01:29:18,810] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
 [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
 [WARNING]  async_io: please install the libaio-dev package with apt
 [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
 [WARNING]  Please specify the CUTLASS repo directory as environment variable $CUTLASS_PATH
 [WARNING]  sparse_attn requires a torch version >= 1.5 and < 2.0 but detected 2.3
 [WARNING]  using untested triton version (3.0.0), only 1.0.0 is known to be compatible
Base model is: /zju_0038/wyy/mergebench/models/Llama-3.2-3B
Models to be merged are: ['/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-algebra', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-analysis', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-number_theory', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-discrete', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-biology', '/zju_0038/yifyang/scripts/models/llama-3.2-Korean-Bllossom-3B', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-code', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-Instruct-tuned', '/zju_0038/yifyang/scripts/models/Llama3.2-3B-ShiningValiant2', '/zju_0038/yifyang/scripts/models/FineMath-Llama-3B', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B_MATH_lisa', '/zju_0038/yifyang/scripts/models/saves_llama3.2_3b_origianl_MATH_training_rewrite_common_normal', '/zju_0038/yifyang/scripts/models/GSM8K-Binary_Llama-3.2-3B-ihl420el', '/zju_0038/yifyang/scripts/models/saves_llama3.2_3b_origianl_MATH_training_rewrite_common_shorter_8b', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-math-SFT', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-math-R3']
Scaling coefficient is 0.1
Merging conducted on cpu
Loading base model in offline mode...

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Loading tokenizer in offline mode...
Loading candidate model 1/16: llama-instruct-3B-v2-algebra

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Loading candidate model 2/16: llama-instruct-3B-v2-analysis

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Loading candidate model 3/16: llama-instruct-3B-v2-number_theory

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Loading candidate model 4/16: llama-instruct-3B-v2-discrete

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Loading candidate model 5/16: llama-instruct-3B-v2-biology

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Loading candidate model 6/16: llama-3.2-Korean-Bllossom-3B

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Loading candidate model 7/16: llama-instruct-3B-v2-code

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Loading candidate model 8/16: Llama-3.2-3B-Instruct-tuned

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Loading candidate model 9/16: Llama3.2-3B-ShiningValiant2

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`rope_scaling`'s original_max_position_embeddings field must be less than max_position_embeddings, got 8192 and max_position_embeddings=4096
Loading candidate model 10/16: FineMath-Llama-3B

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Loading candidate model 11/16: Llama-3.2-3B_MATH_lisa

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Loading candidate model 12/16: saves_llama3.2_3b_origianl_MATH_training_rewrite_common_normal

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Loading candidate model 13/16: GSM8K-Binary_Llama-3.2-3B-ihl420el

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Loading candidate model 14/16: saves_llama3.2_3b_origianl_MATH_training_rewrite_common_shorter_8b

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Loading candidate model 15/16: Llama-3.2-3B-math-SFT

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Loading candidate model 16/16: Llama-3.2-3B-math-R3

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Base model is: /zju_0038/wyy/mergebench/models/Llama-3.2-3B
Models to be merged are: ['/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-algebra', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-analysis', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-number_theory', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-discrete', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-biology', '/zju_0038/yifyang/scripts/models/llama-3.2-Korean-Bllossom-3B', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-code', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-Instruct-tuned', '/zju_0038/yifyang/scripts/models/Llama3.2-3B-ShiningValiant2', '/zju_0038/yifyang/scripts/models/FineMath-Llama-3B', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B_MATH_lisa', '/zju_0038/yifyang/scripts/models/saves_llama3.2_3b_origianl_MATH_training_rewrite_common_normal', '/zju_0038/yifyang/scripts/models/GSM8K-Binary_Llama-3.2-3B-ihl420el', '/zju_0038/yifyang/scripts/models/saves_llama3.2_3b_origianl_MATH_training_rewrite_common_shorter_8b', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-math-SFT', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-math-R3']
Scaling coefficient is 0.1
Merging conducted on cpu
Loading base model in offline mode...

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Loading tokenizer in offline mode...
Loading candidate model 1/16: llama-instruct-3B-v2-algebra

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Loading candidate model 2/16: llama-instruct-3B-v2-analysis

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Loading candidate model 3/16: llama-instruct-3B-v2-number_theory

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Loading candidate model 4/16: llama-instruct-3B-v2-discrete

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Loading candidate model 5/16: llama-instruct-3B-v2-biology

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Loading candidate model 6/16: llama-3.2-Korean-Bllossom-3B

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Loading candidate model 7/16: llama-instruct-3B-v2-code

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Loading candidate model 8/16: Llama-3.2-3B-Instruct-tuned

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Loading candidate model 9/16: Llama3.2-3B-ShiningValiant2

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`rope_scaling`'s original_max_position_embeddings field must be less than max_position_embeddings, got 8192 and max_position_embeddings=4096
Loading candidate model 10/16: FineMath-Llama-3B

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Loading candidate model 11/16: Llama-3.2-3B_MATH_lisa

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Loading candidate model 12/16: saves_llama3.2_3b_origianl_MATH_training_rewrite_common_normal

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Loading candidate model 13/16: GSM8K-Binary_Llama-3.2-3B-ihl420el

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Loading candidate model 14/16: saves_llama3.2_3b_origianl_MATH_training_rewrite_common_shorter_8b

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Loading candidate model 15/16: Llama-3.2-3B-math-SFT

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Loading candidate model 16/16: Llama-3.2-3B-math-R3

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Saving model to /zju_0038/yifyang/co-genai/Merging-Scaling-Law-main/models/merged/Llama-3B-cmb/task_arithmetic_16/sc0.1_r0/1-2-3-5-8-9-10-11-14-15-16-18-20-21-22-23
[2025-10-21 01:46:05,558] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
 [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
 [WARNING]  async_io: please install the libaio-dev package with apt
 [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
 [WARNING]  Please specify the CUTLASS repo directory as environment variable $CUTLASS_PATH
 [WARNING]  sparse_attn requires a torch version >= 1.5 and < 2.0 but detected 2.3
 [WARNING]  using untested triton version (3.0.0), only 1.0.0 is known to be compatible
Base model is: /zju_0038/wyy/mergebench/models/Llama-3.2-3B
Models to be merged are: ['/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-algebra', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-analysis', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-number_theory', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-discrete', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-biology', '/zju_0038/yifyang/scripts/models/llama-3.2-Korean-Bllossom-3B', '/zju_0038/yifyang/scripts/models/llama-instruct-3B-v2-code', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-Instruct-tuned', '/zju_0038/yifyang/scripts/models/Llama3.2-3B-ShiningValiant2', '/zju_0038/yifyang/scripts/models/FineMath-Llama-3B', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B_MATH_lisa', '/zju_0038/yifyang/scripts/models/saves_llama3.2_3b_origianl_MATH_training_rewrite_common_normal', '/zju_0038/yifyang/scripts/models/GSM8K-Binary_Llama-3.2-3B-ihl420el', '/zju_0038/yifyang/scripts/models/saves_llama3.2_3b_origianl_MATH_training_rewrite_common_shorter_8b', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-math-SFT', '/zju_0038/yifyang/scripts/models/Llama-3.2-3B-math-R3']
Scaling coefficient is 0.1
Merging conducted on cpu
Loading base model in offline mode...

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Loading tokenizer in offline mode...
Loading candidate model 1/16: llama-instruct-3B-v2-algebra

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Loading candidate model 2/16: llama-instruct-3B-v2-analysis

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Loading candidate model 3/16: llama-instruct-3B-v2-number_theory

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Loading candidate model 4/16: llama-instruct-3B-v2-discrete

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Loading candidate model 5/16: llama-instruct-3B-v2-biology

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Loading candidate model 6/16: llama-3.2-Korean-Bllossom-3B

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Loading candidate model 7/16: llama-instruct-3B-v2-code

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Loading candidate model 8/16: Llama-3.2-3B-Instruct-tuned

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Loading candidate model 9/16: Llama3.2-3B-ShiningValiant2

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`rope_scaling`'s original_max_position_embeddings field must be less than max_position_embeddings, got 8192 and max_position_embeddings=4096
Loading candidate model 10/16: FineMath-Llama-3B

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Loading candidate model 11/16: Llama-3.2-3B_MATH_lisa

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Loading candidate model 12/16: saves_llama3.2_3b_origianl_MATH_training_rewrite_common_normal

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Loading candidate model 13/16: GSM8K-Binary_Llama-3.2-3B-ihl420el

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Loading candidate model 14/16: saves_llama3.2_3b_origianl_MATH_training_rewrite_common_shorter_8b

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Loading candidate model 15/16: Llama-3.2-3B-math-SFT

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Loading candidate model 16/16: Llama-3.2-3B-math-R3

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Saving model to /zju_0038/yifyang/co-genai/Merging-Scaling-Law-main/models/merged/Llama-3B-cmb/task_arithmetic_16/sc0.1_r0/1-2-3-5-8-9-10-11-14-15-16-18-20-21-22-23
[2025-10-21 01:47:16,498] [INFO] [real_accelerator.py:203:get_accelerator] Setting ds_accelerator to cuda (auto detect)
 [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
 [WARNING]  async_io: please install the libaio-dev package with apt
 [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
 [WARNING]  Please specify the CUTLASS repo directory as environment variable $CUTLASS_PATH
 [WARNING]  sparse_attn requires a torch version >= 1.5 and < 2.0 but detected 2.3
 [WARNING]  using untested triton version (3.0.0), only 1.0.0 is known to be compatible