---
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
```