OpenCompass/configs/models/opt/hf_opt_350m.py

from opencompass.models import HuggingFaceBaseModel

opt350m = dict(
    type=HuggingFaceBaseModel,
    abbr='opt-350m-hf',
    path='facebook/opt-350m',
    max_out_len=1024,
    batch_size=32,
    run_cfg=dict(num_gpus=1),
)

models = [opt350m]
[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`
[Docs] Update docs for new entry script (#246) * update docs * update docs * update * update en docs * update * update --------- Co-authored-by: Leymore <zfz-960727@163.com> 2023-08-31 16:43:55 +08:00
[Fix] Rollback opt model configs (#1213) 2024-05-30 00:03:22 +08:00			`opt350m = dict(`
			`type=HuggingFaceBaseModel,`
			`abbr='opt-350m-hf',`
			`path='facebook/opt-350m',`
			`max_out_len=1024,`
			`batch_size=32,`
			`run_cfg=dict(num_gpus=1),`
			`)`

			`models = [opt350m]`