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Model: pankajmathur/model_007_13b_v2 Source: Original Platform
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README.md
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---
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language:
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- en
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license: llama2
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library_name: transformers
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datasets:
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- garage-bAInd/Open-Platypus
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- ehartford/dolphin
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- psmathur/orca_mini_v1_dataset
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- psmathur/WizardLM_Orca
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- psmathur/alpaca_orca
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- psmathur/dolly-v2_orca
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- tatsu-lab/alpaca
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- databricks/databricks-dolly-15k
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- WizardLM/WizardLM_evol_instruct_V2_196k
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pipeline_tag: text-generation
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model-index:
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- name: model_007_13b_v2
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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||||
- type: acc_norm
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value: 61.95
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/model_007_13b_v2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 82.48
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/model_007_13b_v2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
|
||||
- type: acc
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value: 57.32
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name: accuracy
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||||
source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/model_007_13b_v2
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name: Open LLM Leaderboard
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||||
- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 53.5
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/model_007_13b_v2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 75.85
|
||||
name: accuracy
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||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/model_007_13b_v2
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name: Open LLM Leaderboard
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||||
- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
|
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- type: acc
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value: 1.36
|
||||
name: accuracy
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||||
source:
|
||||
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/model_007_13b_v2
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name: Open LLM Leaderboard
|
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 30.56
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name: strict accuracy
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||||
source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=pankajmathur/model_007_13b_v2
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name: Open LLM Leaderboard
|
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- task:
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type: text-generation
|
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
|
||||
- type: acc_norm
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value: 25.45
|
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name: normalized accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=pankajmathur/model_007_13b_v2
|
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name: Open LLM Leaderboard
|
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- task:
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type: text-generation
|
||||
name: Text Generation
|
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 1.21
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name: exact match
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source:
|
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=pankajmathur/model_007_13b_v2
|
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name: Open LLM Leaderboard
|
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- task:
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type: text-generation
|
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name: Text Generation
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dataset:
|
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
|
||||
- type: acc_norm
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value: 4.47
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name: acc_norm
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source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=pankajmathur/model_007_13b_v2
|
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name: Open LLM Leaderboard
|
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- task:
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type: text-generation
|
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name: Text Generation
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dataset:
|
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
|
||||
- type: acc_norm
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||||
value: 17.2
|
||||
name: acc_norm
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=pankajmathur/model_007_13b_v2
|
||||
name: Open LLM Leaderboard
|
||||
- task:
|
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type: text-generation
|
||||
name: Text Generation
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||||
dataset:
|
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
|
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config: main
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split: test
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args:
|
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num_few_shot: 5
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||||
metrics:
|
||||
- type: acc
|
||||
value: 16.23
|
||||
name: accuracy
|
||||
source:
|
||||
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=pankajmathur/model_007_13b_v2
|
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name: Open LLM Leaderboard
|
||||
---
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# model_007_13b_v2
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A hybrid (explain + instruct) style Llama2-13b model, Pleae check examples below for both style prompts, Here is the list of datasets used:
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* Open-Platypus
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* Alpaca
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* WizardLM
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* Dolly-V2
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* Dolphin Samples (~200K)
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* Orca_minis_v1
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* Alpaca_orca
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* WizardLM_orca
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* Dolly-V2_orca
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<br>
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<strong>
|
||||
Passionate about Generative AI? I help companies to privately train and deploy custom LLM/MLLM affordably. For startups, I can even assist with securing GPU grants to get you started. Let's chat!
|
||||
|
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<a href="https://www.linkedin.com/in/pankajam" target="_blank">https://www.linkedin.com/in/pankajam</a> Looking forward to connecting!
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</strong>
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<br>
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### quantized versions
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|
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<br>
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#### license disclaimer:
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This model is bound by the license & usage restrictions of the original Llama-2 model. And comes with no warranty or gurantees of any kind.
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<br>
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## Evaluation
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We evaluated model_007_13b_v2 on a wide range of tasks using [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) from EleutherAI.
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Here are the results on metrics used by [HuggingFaceH4 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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|||||
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|:------:|:--------:|:-------:|:--------:|
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|**Task**|**Metric**|**Value**|**Stderr**|
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|*arc_challenge*|acc_norm|0.6314|0.0141|
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|*hellaswag*|acc_norm|0.8242|0.0038|
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|*mmlu*|acc_norm|0.5637|0.0351|
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|*truthfulqa_mc*|mc2|0.5127|0.0157|
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|**Total Average**|-|**0.6329877193**||
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<br>
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## Example Usage
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Here is the Orca prompt format
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```
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### System:
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You are an AI assistant that follows instruction extremely well. Help as much as you can.
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### User:
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Tell me about Orcas.
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### Assistant:
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```
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Below shows a code example on how to use this model
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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tokenizer = AutoTokenizer.from_pretrained("psmathur/model_007_13b_v2")
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model = AutoModelForCausalLM.from_pretrained(
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"psmathur/model_007_13b_v2",
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torch_dtype=torch.float16,
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load_in_8bit=True,
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low_cpu_mem_usage=True,
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device_map="auto"
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)
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system_prompt = "### System:\nYou are an AI assistant that follows instruction extremely well. Help as much as you can.\n\n"
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#generate text steps
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instruction = "Tell me about Orcas."
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prompt = f"{system_prompt}### User: {instruction}\n\n### Assistant:\n"
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inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
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output = model.generate(**inputs, do_sample=True, top_p=0.95, top_k=0, max_new_tokens=4096)
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print(tokenizer.decode(output[0], skip_special_tokens=True))
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```
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Here is the Alpaca prompt format
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```
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### User:
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Tell me about Alpacas.
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### Assistant:
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```
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Below shows a code example on how to use this model
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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tokenizer = AutoTokenizer.from_pretrained("psmathur/model_007_13b_v2")
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model = AutoModelForCausalLM.from_pretrained(
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"psmathur/model_007_13b_v2",
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torch_dtype=torch.float16,
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load_in_8bit=True,
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low_cpu_mem_usage=True,
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device_map="auto"
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)
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#generate text steps
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instruction = "Tell me about Alpacas."
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prompt = f"### User: {instruction}\n\n### Assistant:\n"
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inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
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output = model.generate(**inputs, do_sample=True, top_p=0.95, top_k=0, max_new_tokens=4096)
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print(tokenizer.decode(output[0], skip_special_tokens=True))
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```
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<br>
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#### Limitations & Biases:
|
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|
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While this model aims for accuracy, it can occasionally produce inaccurate or misleading results.
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Despite diligent efforts in refining the pretraining data, there remains a possibility for the generation of inappropriate, biased, or offensive content.
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Exercise caution and cross-check information when necessary.
|
||||
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<br>
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|
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### Citiation:
|
||||
|
||||
Please kindly cite using the following BibTeX:
|
||||
|
||||
```
|
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@misc{model_007_13b_v2,
|
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author = {Pankaj Mathur},
|
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title = {model_007_13b_v2: A hybrid (explain + instruct) style Llama2-70b model},
|
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year = {2023},
|
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publisher = {HuggingFace},
|
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journal = {HuggingFace repository},
|
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howpublished = {\url{https://https://huggingface.co/psmathur/model_007_13b_v2},
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}
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```
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```
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@misc{mukherjee2023orca,
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title={Orca: Progressive Learning from Complex Explanation Traces of GPT-4},
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author={Subhabrata Mukherjee and Arindam Mitra and Ganesh Jawahar and Sahaj Agarwal and Hamid Palangi and Ahmed Awadallah},
|
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year={2023},
|
||||
eprint={2306.02707},
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archivePrefix={arXiv},
|
||||
primaryClass={cs.CL}
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}
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```
|
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|
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```
|
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@software{touvron2023llama2,
|
||||
title={Llama 2: Open Foundation and Fine-Tuned Chat Models},
|
||||
author={Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava,
|
||||
Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller,
|
||||
Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez Madian Khabsa, Isabel Kloumann,
|
||||
Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov,
|
||||
Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith,
|
||||
Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu , Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan,
|
||||
Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom},
|
||||
year={2023}
|
||||
}
|
||||
```
|
||||
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
||||
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_psmathur__model_007_13b_v2)
|
||||
|
||||
| Metric | Value |
|
||||
|-----------------------|---------------------------|
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||||
| Avg. | 53.78 |
|
||||
| ARC (25-shot) | 61.95 |
|
||||
| HellaSwag (10-shot) | 82.48 |
|
||||
| MMLU (5-shot) | 57.32 |
|
||||
| TruthfulQA (0-shot) | 53.5 |
|
||||
| Winogrande (5-shot) | 75.85 |
|
||||
| GSM8K (5-shot) | 1.36 |
|
||||
| DROP (3-shot) | 43.97 |
|
||||
|
||||
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
||||
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_psmathur__model_007_13b_v2)
|
||||
|
||||
| Metric |Value|
|
||||
|---------------------------------|----:|
|
||||
|Avg. |55.41|
|
||||
|AI2 Reasoning Challenge (25-Shot)|61.95|
|
||||
|HellaSwag (10-Shot) |82.48|
|
||||
|MMLU (5-Shot) |57.32|
|
||||
|TruthfulQA (0-shot) |53.50|
|
||||
|Winogrande (5-shot) |75.85|
|
||||
|GSM8k (5-shot) | 1.36|
|
||||
|
||||
|
||||
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
|
||||
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_pankajmathur__model_007_13b_v2)
|
||||
|
||||
| Metric |Value|
|
||||
|-------------------|----:|
|
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|Avg. |15.86|
|
||||
|IFEval (0-Shot) |30.56|
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|BBH (3-Shot) |25.45|
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|MATH Lvl 5 (4-Shot)| 1.21|
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|GPQA (0-shot) | 4.47|
|
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|MuSR (0-shot) |17.20|
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|MMLU-PRO (5-shot) |16.23|
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"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
||||
"model.norm.weight": "pytorch_model-00003-of-00003.bin"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
93391
tokenizer.json
Normal file
93391
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
||||
size 499723
|
||||
31
tokenizer_config.json
Normal file
31
tokenizer_config.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"model_max_length": 4096,
|
||||
"pad_token": null,
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user