OpenCompass/configs/models/hf_internlm/hf_internlm2_math_20b.py

from opencompass.models import HuggingFaceBaseModel


models = [
    dict(
        type=HuggingFaceBaseModel,
        abbr='internlm2-math-20b-hf',
        path='internlm/internlm2-math-20b',
        max_out_len=1024,
        batch_size=8,
        run_cfg=dict(num_gpus=2),
    )
]
[Feature] Add huggingface apply_chat_template (#1098) * add TheoremQA with 5-shot * add huggingface_above_v4_33 classes * use num_worker partitioner in cli * update theoremqa * update TheoremQA * add TheoremQA * rename theoremqa -> TheoremQA * update TheoremQA output path * rewrite many model configs * update huggingface * further update * refine configs * update configs * update configs * add configs/eval_llama3_instruct.py * add summarizer multi faceted * update bbh datasets * update configs/models/hf_llama/lmdeploy_llama3_8b_instruct.py * rename class * update readme * update hf above v4.33 2024-05-14 14:50:16 +08:00			`from opencompass.models import HuggingFaceBaseModel`


			`models = [`
			`dict(`
			`type=HuggingFaceBaseModel,`
			`abbr='internlm2-math-20b-hf',`
[Format] Add config lints (#892) 2024-05-14 15:35:58 +08:00			`path='internlm/internlm2-math-20b',`
[Feature] Add huggingface apply_chat_template (#1098) * add TheoremQA with 5-shot * add huggingface_above_v4_33 classes * use num_worker partitioner in cli * update theoremqa * update TheoremQA * add TheoremQA * rename theoremqa -> TheoremQA * update TheoremQA output path * rewrite many model configs * update huggingface * further update * refine configs * update configs * update configs * add configs/eval_llama3_instruct.py * add summarizer multi faceted * update bbh datasets * update configs/models/hf_llama/lmdeploy_llama3_8b_instruct.py * rename class * update readme * update hf above v4.33 2024-05-14 14:50:16 +08:00			`max_out_len=1024,`
			`batch_size=8,`
			`run_cfg=dict(num_gpus=2),`
			`)`
			`]`