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ruler os.environ fix #2191

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ruler os.environ fix #2191

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99e2990
ruler mmengine environment building fix
francesco-bertolotti Jul 9, 2025
085a4f4
Merge branch 'open-compass:main' into f14-ruler-fix
f14-bertolotti Jul 9, 2025
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2 changes: 1 addition & 1 deletion opencompass/configs/datasets/ruler/ruler_128k_gen.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@

# Evaluation config
NUM_SAMPLES = 100 # Change to the number of samples you need
tokenizer_model = os.environ.get('TOKENIZER_MODEL', 'gpt-4')
tokenizer_model = os.environ.build().get('TOKENIZER_MODEL', 'gpt-4')
# Change the context lengths to be tested
max_seq_lens = [1024 * 128]
abbr_suffixs = ['128k']
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2 changes: 1 addition & 1 deletion opencompass/configs/datasets/ruler/ruler_16k_gen.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@

# Evaluation config
NUM_SAMPLES = 100 # Change to the number of samples you need
tokenizer_model = os.environ.get('TOKENIZER_MODEL', 'gpt-4')
tokenizer_model = os.environ.build().get('TOKENIZER_MODEL', 'gpt-4')
# Change the context lengths to be tested
max_seq_lens = [1024 * 16]
abbr_suffixs = ['16k']
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2 changes: 1 addition & 1 deletion opencompass/configs/datasets/ruler/ruler_1m_gen.py
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Expand Up @@ -14,7 +14,7 @@

# Evaluation config
NUM_SAMPLES = 100 # Change to the number of samples you need
tokenizer_model = os.environ.get('TOKENIZER_MODEL', 'gpt-4')
tokenizer_model = os.environ.build().get('TOKENIZER_MODEL', 'gpt-4')
# Change the context lengths to be tested
max_seq_lens = [1024 * 1024]
abbr_suffixs = ['1m']
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2 changes: 1 addition & 1 deletion opencompass/configs/datasets/ruler/ruler_256k_gen.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@

# Evaluation config
NUM_SAMPLES = 100 # Change to the number of samples you need
tokenizer_model = os.environ.get('TOKENIZER_MODEL', 'gpt-4')
tokenizer_model = os.environ.build().get('TOKENIZER_MODEL', 'gpt-4')
# Change the context lengths to be tested
max_seq_lens = [1024 * 256]
abbr_suffixs = ['256k']
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2 changes: 1 addition & 1 deletion opencompass/configs/datasets/ruler/ruler_32k_gen.py
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Expand Up @@ -14,7 +14,7 @@

# Evaluation config
NUM_SAMPLES = 100 # Change to the number of samples you need
tokenizer_model = os.environ.get('TOKENIZER_MODEL', 'gpt-4')
tokenizer_model = os.environ.build().get('TOKENIZER_MODEL', 'gpt-4')
# Change the context lengths to be tested
max_seq_lens = [1024 * 32]
abbr_suffixs = ['32k']
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2 changes: 1 addition & 1 deletion opencompass/configs/datasets/ruler/ruler_4k_gen.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@

# Evaluation config
NUM_SAMPLES = 100 # Change to the number of samples you need
tokenizer_model = os.environ.get('TOKENIZER_MODEL', 'gpt-4')
tokenizer_model = os.environ.build().get('TOKENIZER_MODEL', 'gpt-4')
# Change the context lengths to be tested
max_seq_lens = [1024 * 4]
abbr_suffixs = ['4k']
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2 changes: 1 addition & 1 deletion opencompass/configs/datasets/ruler/ruler_512k_gen.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@

# Evaluation config
NUM_SAMPLES = 100 # Change to the number of samples you need
tokenizer_model = os.environ.get('TOKENIZER_MODEL', 'gpt-4')
tokenizer_model = os.environ.build().get('TOKENIZER_MODEL', 'gpt-4')
# Change the context lengths to be tested
max_seq_lens = [1024 * 512]
abbr_suffixs = ['512k']
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2 changes: 1 addition & 1 deletion opencompass/configs/datasets/ruler/ruler_64k_gen.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@

# Evaluation config
NUM_SAMPLES = 100 # Change to the number of samples you need
tokenizer_model = os.environ.get('TOKENIZER_MODEL', 'gpt-4')
tokenizer_model = os.environ.build().get('TOKENIZER_MODEL', 'gpt-4')
# Change the context lengths to be tested
max_seq_lens = [1024 * 64]
abbr_suffixs: list[str] = ['64k']
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2 changes: 1 addition & 1 deletion opencompass/configs/datasets/ruler/ruler_8k_gen.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@

# Evaluation config
NUM_SAMPLES = 100 # Change to the number of samples you need
tokenizer_model = os.environ.get('TOKENIZER_MODEL', 'gpt-4')
tokenizer_model = os.environ.build().get('TOKENIZER_MODEL', 'gpt-4')
# Change the context lengths to be tested
max_seq_lens = [1024 * 8]
abbr_suffixs = ['8k']
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