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1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model_name = "K-Compression/HyperCLOVAX-SEED-Think-14B-GPTQ"
4model = AutoModelForCausalLM.from_pretrained(
5 model_name,
6 torch_dtype="bfloat16",
7 device_map="auto"
8)
9tokenizer = AutoTokenizer.from_pretrained(model_name)| Model | MMLU (0-shot) | HAERAE (0-shot) |
|---|---|---|
| HyperCLOVA X SEED 14B Think | 0.7144 | 0.8130 |
| HyperCLOVA X SEED 14B Think-GPTQ | 0.7018 | 0.8139 |