Allow cached model resolution during offline evaluation
Browse files- SHA256SUMS +1 -1
- evaluate.py +5 -4
SHA256SUMS
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@@ -3,7 +3,7 @@ ff73ee904edc9381bd1ea24847e41c6176aec22ba4b63321e8354562f24ba5ce .gitignore
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24908849b2c3cac77e1c0cc1aa82b943c4f8c377bc3930b526f0e4f49e1fa7de README.md
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1926bca1b0c6b2244554577135a9c3c305b18fd834c654803b4e8480fff0d3d9 data/smolscript.jsonl
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7bf25948750648aa036bdf277cfd7c38597c98aa06131e805628b9055a7938d9 data/smolscript.parquet
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-
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b6a465089448e1c2eb7f26c981a1ad3e962d73a0433a337d4e781f4ca9525b65 examples/local-test-report.json
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713855348ffc53f49b03a0df47b67294fe2d3593054636eec12b9f184fb3534e examples/result-format.json
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e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 generators/__init__.py
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24908849b2c3cac77e1c0cc1aa82b943c4f8c377bc3930b526f0e4f49e1fa7de README.md
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1926bca1b0c6b2244554577135a9c3c305b18fd834c654803b4e8480fff0d3d9 data/smolscript.jsonl
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7bf25948750648aa036bdf277cfd7c38597c98aa06131e805628b9055a7938d9 data/smolscript.parquet
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d6e1f0dddbe61bbcfa660cd2eaeaf4c2af2ebff06938f4bc046fce1223fc573a evaluate.py
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b6a465089448e1c2eb7f26c981a1ad3e962d73a0433a337d4e781f4ca9525b65 examples/local-test-report.json
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713855348ffc53f49b03a0df47b67294fe2d3593054636eec12b9f184fb3534e examples/result-format.json
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e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 generators/__init__.py
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evaluate.py
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@@ -51,11 +51,12 @@ def main():
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else:
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import torch
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from transformers import AutoTokenizer,AutoModelForCausalLM,AutoConfig
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from huggingface_hub import
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revision=state.get('resolved_revision') or
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state['resolved_revision']=revision
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tokenizer=AutoTokenizer.from_pretrained(
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model=AutoModelForCausalLM.from_pretrained(
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model.eval();torch.manual_seed(0)
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import importlib.metadata
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state['environment']={'python':sys.version,'packages':{n:importlib.metadata.version(n) for n in ('torch','transformers','huggingface-hub')},'device':str(model.device)}
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else:
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import torch
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from transformers import AutoTokenizer,AutoModelForCausalLM,AutoConfig
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from huggingface_hub import snapshot_download
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snapshot=snapshot_download(a.model,revision=state.get('resolved_revision') or a.revision)
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revision=Path(snapshot).name
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state['resolved_revision']=revision
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tokenizer=AutoTokenizer.from_pretrained(snapshot)
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model=AutoModelForCausalLM.from_pretrained(snapshot,torch_dtype='auto',device_map=a.device)
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model.eval();torch.manual_seed(0)
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import importlib.metadata
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state['environment']={'python':sys.version,'packages':{n:importlib.metadata.version(n) for n in ('torch','transformers','huggingface-hub')},'device':str(model.device)}
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