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add gptq option for ppl test #11921

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merged 10 commits into from
Aug 30, 2024
Merged

add gptq option for ppl test #11921

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f99f3cf
feat：add gptq for ppl
cranechu0131 Aug 26, 2024
46f4c1a
fix: add an empty line
cranechu0131 Aug 26, 2024
15ded34
fix: add an empty line
cranechu0131 Aug 26, 2024
1f7bac6
fix: remove an empty line
cranechu0131 Aug 26, 2024
6808990
Merge branch 'intel-analytics:main' into perplexity_GPTQ
cranechu0131 Aug 27, 2024
307120e
Resolve comments
cranechu0131 Aug 30, 2024
89ac33c
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cranechu0131 Aug 30, 2024
b2efe06
Merge branch 'intel-analytics:main' into perplexity_GPTQ
cranechu0131 Aug 30, 2024
0c81b99
Merge branch 'intel-analytics:main' into perplexity_GPTQ
cranechu0131 Aug 30, 2024
65c9306
Resolve comments
cranechu0131 Aug 30, 2024
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18 changes: 15 additions & 3 deletions python/llm/dev/benchmark/perplexity/run_wikitext.py
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Original file line number Diff line number Diff line change
Expand Up @@ -38,12 +38,24 @@

if args.precision == "fp16": # ipex fp16
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained(args.model_path, use_cache=args.use_cache, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(args.model_path,
use_cache=args.use_cache,
trust_remote_code=True)
model = model.half()
elif 'gptq' in args.model_path.lower(): # ipex-llm gptq
from ipex_llm.transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained(args.model_path,
load_in_4bit=True,
torch_dtype=torch.float,
use_cache=args.use_cache,
trust_remote_code=True)
else: # ipex-llm
from ipex_llm.transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained(args.model_path, load_in_low_bit=args.precision,
use_cache=args.use_cache, trust_remote_code=True, mixed_precision= args.mixed_precision)
model = AutoModelForCausalLM.from_pretrained(args.model_path,
load_in_low_bit=args.precision,
use_cache=args.use_cache,
trust_remote_code=True,
mixed_precision=args.mixed_precision)
model = model.half()
model = model.to(args.device)
model = model.eval()
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