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README.md

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+---
+license: llama3.2
+language:
+- zh
+- en
+- it
+- de
+- fr
+- ja
+- ko
+base_model: lianghsun/Llama-3.2-Taiwan-3B-Instruct
+datasets:
+- lianghsun/tw-emergency-medicine-bench
+- lianghsun/tw-legal-nlp
+- lianghsun/tw-legal-synthetic-qa
+- lianghsun/tw-law-article-qa
+- lianghsun/tw-judgment-qa
+- lianghsun/tw-judgment-gist-chat
+- lianghsun/tw-bar-examination-2020-chat
+- lianghsun/tw-structured-law-article
+- lianghsun/tw-judgment-gist-chat
+- lianghsun/tw-contract-review-chat
+- lianghsun/reasoning-base-20k-chat
+- lianghsun/vulnerability-mitigation-qa-zh_tw
+- lianghsun/tw-instruct
+- rombodawg/Everything_Instruct_Multilingual
+- xzuyn/manythings-translations-alpaca
+- neural-bridge/rag-dataset-12000
+- minyichen/glaive_toolcall_zh_tw
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- Taiwan
+- ROC
+- zh-tw
+- instruct
+- chat
+- llama3.2
+- SLM
+- llama-cpp
+- gguf-my-repo
+widget:
+- text: 中華民國憲法第一條
+metrics:
+- accuracy
+model-index:
+- name: Llama-3.2-Taiwan-3B-Instruct
+  results:
+  - task:
+      type: text-generation
+      name: Single Choice Question
+    dataset:
+      name: tw-legal-benchmark-v1
+      type: lianghsun/tw-legal-benchmark-v1
+    metrics:
+    - type: accuracy
+      value: 31.1
+      name: single choice
+  - task:
+      type: text-generation
+      name: Single Choice Question
+    dataset:
+      name: (Society) Formosa Taiwan Knowledge Bench
+      type: lianghsun/Formosa-bench
+      config: society
+      split: test
+      revision: v2024.11.27
+    metrics:
+    - type: accuracy
+      value: 60.42
+      name: single choice
+  - task:
+      type: text-generation
+      name: Single Choice Question
+    dataset:
+      name: (Governmnt) Formosa Taiwan Knowledge Bench
+      type: lianghsun/Formosa-bench
+      config: governmnt
+      split: test
+      revision: v2024.11.27
+    metrics:
+    - type: accuracy
+      value: 44.25
+      name: single choice
+  - task:
+      type: text-generation
+      name: Single Choice Question
+    dataset:
+      name: (Geography) Formosa Taiwan Knowledge Bench
+      type: lianghsun/Formosa-bench
+      config: geography
+      split: test
+      revision: v2024.11.27
+    metrics:
+    - type: accuracy
+      value: 47.54
+      name: single choice
+  - task:
+      type: text-generation
+      name: Single Choice Question
+    dataset:
+      name: (History) Formosa Taiwan Knowledge Bench
+      type: lianghsun/Formosa-bench
+      config: history
+      split: test
+      revision: v2024.11.27
+    metrics:
+    - type: accuracy
+      value: 60
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (geography_of_taiwan) tmmlu++
+      type: ikala/tmmluplus
+      config: geography_of_taiwan
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 36.2
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (dentistry) tmmlu++
+      type: ikala/tmmluplus
+      config: dentistry
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 33.83
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (technical) tmmlu++
+      type: ikala/tmmluplus
+      config: technical
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 35.07
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (statistics_and_machine_learning) tmmlu++
+      type: ikala/tmmluplus
+      config: statistics_and_machine_learning
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 28.57
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (clinical_psychology) tmmlu++
+      type: ikala/tmmluplus
+      config: clinical_psychology
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 29.6
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (tve_design) tmmlu++
+      type: ikala/tmmluplus
+      config: tve_design
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 38.54
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (three_principles_of_people) tmmlu++
+      type: ikala/tmmluplus
+      config: three_principles_of_people
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 48.2
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (introduction_to_law) tmmlu++
+      type: ikala/tmmluplus
+      config: introduction_to_law
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 29.96
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (linear_algebra) tmmlu++
+      type: ikala/tmmluplus
+      config: linear_algebra
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 21.43
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (agriculture) tmmlu++
+      type: ikala/tmmluplus
+      config: agriculture
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 24.5
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (jce_humanities) tmmlu++
+      type: ikala/tmmluplus
+      config: jce_humanities
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 38.89
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (music) tmmlu++
+      type: ikala/tmmluplus
+      config: music
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 25.9
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (secondary_physics) tmmlu++
+      type: ikala/tmmluplus
+      config: secondary_physics
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 33.04
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (physics) tmmlu++
+      type: ikala/tmmluplus
+      config: physics
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 27.84
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (advance_chemistry) tmmlu++
+      type: ikala/tmmluplus
+      config: advance_chemistry
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 27.64
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (junior_science_exam) tmmlu++
+      type: ikala/tmmluplus
+      config: junior_science_exam
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 30.05
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (veterinary_pathology) tmmlu++
+      type: ikala/tmmluplus
+      config: veterinary_pathology
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 25.09
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (financial_analysis) tmmlu++
+      type: ikala/tmmluplus
+      config: financial_analysis
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 25.13
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (national_protection) tmmlu++
+      type: ikala/tmmluplus
+      config: national_protection
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 42.65
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (macroeconomics) tmmlu++
+      type: ikala/tmmluplus
+      config: macroeconomics
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 26.76
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (politic_science) tmmlu++
+      type: ikala/tmmluplus
+      config: politic_science
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 27.44
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (ttqav2) tmmlu++
+      type: ikala/tmmluplus
+      config: ttqav2
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 61.06
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (junior_chinese_exam) tmmlu++
+      type: ikala/tmmluplus
+      config: junior_chinese_exam
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 30.86
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (traditional_chinese_medicine_clinical_medicine) tmmlu++
+      type: ikala/tmmluplus
+      config: traditional_chinese_medicine_clinical_medicine
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 25.9
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (junior_math_exam) tmmlu++
+      type: ikala/tmmluplus
+      config: junior_math_exam
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 21.71
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (auditing) tmmlu++
+      type: ikala/tmmluplus
+      config: auditing
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 21.82
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (anti_money_laundering) tmmlu++
+      type: ikala/tmmluplus
+      config: anti_money_laundering
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 37.31
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (pharmacology) tmmlu++
+      type: ikala/tmmluplus
+      config: pharmacology
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 30.68
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (trust_practice) tmmlu++
+      type: ikala/tmmluplus
+      config: trust_practice
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 28.18
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (tve_mathematics) tmmlu++
+      type: ikala/tmmluplus
+      config: tve_mathematics
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 18.67
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (human_behavior) tmmlu++
+      type: ikala/tmmluplus
+      config: human_behavior
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 32.04
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (pharmacy) tmmlu++
+      type: ikala/tmmluplus
+      config: pharmacy
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 22.76
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (tve_chinese_language) tmmlu++
+      type: ikala/tmmluplus
+      config: tve_chinese_language
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 36.65
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (optometry) tmmlu++
+      type: ikala/tmmluplus
+      config: optometry
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 25.11
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (physical_education) tmmlu++
+      type: ikala/tmmluplus
+      config: physical_education
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 30.73
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (organic_chemistry) tmmlu++
+      type: ikala/tmmluplus
+      config: organic_chemistry
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 35.78
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (tve_natural_sciences) tmmlu++
+      type: ikala/tmmluplus
+      config: tve_natural_sciences
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 33.73
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (education) tmmlu++
+      type: ikala/tmmluplus
+      config: education
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 37.9
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (mechanical) tmmlu++
+      type: ikala/tmmluplus
+      config: mechanical
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 42.37
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (taiwanese_hokkien) tmmlu++
+      type: ikala/tmmluplus
+      config: taiwanese_hokkien
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 14.73
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (nautical_science) tmmlu++
+      type: ikala/tmmluplus
+      config: nautical_science
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 30.49
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (business_management) tmmlu++
+      type: ikala/tmmluplus
+      config: business_management
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 39.57
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (logic_reasoning) tmmlu++
+      type: ikala/tmmluplus
+      config: logic_reasoning
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 27.34
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (marketing_management) tmmlu++
+      type: ikala/tmmluplus
+      config: marketing_management
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 39.78
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (economics) tmmlu++
+      type: ikala/tmmluplus
+      config: economics
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 25.95
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (basic_medical_science) tmmlu++
+      type: ikala/tmmluplus
+      config: basic_medical_science
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 28.41
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (occupational_therapy_for_psychological_disorders) tmmlu++
+      type: ikala/tmmluplus
+      config: occupational_therapy_for_psychological_disorders
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 35.73
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (general_principles_of_law) tmmlu++
+      type: ikala/tmmluplus
+      config: general_principles_of_law
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 31.13
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (junior_chemistry) tmmlu++
+      type: ikala/tmmluplus
+      config: junior_chemistry
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 24.88
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (veterinary_pharmacology) tmmlu++
+      type: ikala/tmmluplus
+      config: veterinary_pharmacology
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 36.3
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (educational_psychology) tmmlu++
+      type: ikala/tmmluplus
+      config: educational_psychology
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 33.52
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (finance_banking) tmmlu++
+      type: ikala/tmmluplus
+      config: finance_banking
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 32.59
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (official_document_management) tmmlu++
+      type: ikala/tmmluplus
+      config: official_document_management
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 32.43
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (fire_science) tmmlu++
+      type: ikala/tmmluplus
+      config: fire_science
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 30.65
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (junior_social_studies) tmmlu++
+      type: ikala/tmmluplus
+      config: junior_social_studies
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 47.62
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (accounting) tmmlu++
+      type: ikala/tmmluplus
+      config: accounting
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 20.94
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (engineering_math) tmmlu++
+      type: ikala/tmmluplus
+      config: engineering_math
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 27.18
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (education_(profession_level)) tmmlu++
+      type: ikala/tmmluplus
+      config: education_(profession_level)
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 24.07
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (chinese_language_and_literature) tmmlu++
+      type: ikala/tmmluplus
+      config: chinese_language_and_literature
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 27.64
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (management_accounting) tmmlu++
+      type: ikala/tmmluplus
+      config: management_accounting
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 24.19
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (culinary_skills) tmmlu++
+      type: ikala/tmmluplus
+      config: culinary_skills
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 39.38
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (administrative_law) tmmlu++
+      type: ikala/tmmluplus
+      config: administrative_law
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 25.71
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (insurance_studies) tmmlu++
+      type: ikala/tmmluplus
+      config: insurance_studies
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 33.42
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (real_estate) tmmlu++
+      type: ikala/tmmluplus
+      config: real_estate
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 22.83
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (computer_science) tmmlu++
+      type: ikala/tmmluplus
+      config: computer_science
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 31.61
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (taxation) tmmlu++
+      type: ikala/tmmluplus
+      config: taxation
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 27.47
+      name: single choice
+  - task:
+      type: question-answering
+      name: Single Choice Question
+    dataset:
+      name: (trade) tmmlu++
+      type: ikala/tmmluplus
+      config: trade
+      split: test
+      revision: c0e8ae955997300d5dbf0e382bf0ba5115f85e8c
+    metrics:
+    - type: accuracy
+      value: 20.32
+      name: single choice
+---
+
+# itlwas/Llama-3.2-Taiwan-3B-Instruct-Q4_K_M-GGUF
+This model was converted to GGUF format from [`lianghsun/Llama-3.2-Taiwan-3B-Instruct`](https://huggingface.co/lianghsun/Llama-3.2-Taiwan-3B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/lianghsun/Llama-3.2-Taiwan-3B-Instruct) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo itlwas/Llama-3.2-Taiwan-3B-Instruct-Q4_K_M-GGUF --hf-file llama-3.2-taiwan-3b-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo itlwas/Llama-3.2-Taiwan-3B-Instruct-Q4_K_M-GGUF --hf-file llama-3.2-taiwan-3b-instruct-q4_k_m.gguf -c 2048
+```
+
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
+
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+
+Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo itlwas/Llama-3.2-Taiwan-3B-Instruct-Q4_K_M-GGUF --hf-file llama-3.2-taiwan-3b-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo itlwas/Llama-3.2-Taiwan-3B-Instruct-Q4_K_M-GGUF --hf-file llama-3.2-taiwan-3b-instruct-q4_k_m.gguf -c 2048
+```