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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
```
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