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Waktaverse Llama 3 KO 8B Instruct by PathFinderKR

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Waktaverse Llama 3 KO 8B Instruct is an open-source language model by PathFinderKR. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, Instruction-Based, HF Score: 65, LLM Explorer Score: 0.15, Arc: 58.8, HellaSwag: 79.4, MMLU: 67.2, TruthfulQA: 46.8, WinoGrande: 75.9, GSM8K: 61.9.

Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational Dataset:markrai/kocommercial-d...   Deploy:azure   En   Endpoints compatible   Instruct   Ko   Llama   Llama-3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct 

Waktaverse Llama 3 KO 8B Instruct Benchmarks

ARC: 58.79 vs 96.7 (so35)-39.2%
HellaSwag: 79.39 vs 95.3 (gpt4)-16.7%
MMLU: 67.21 vs 88.3 (so35)-23.9%
TruthfulQA: 46.75 vs 59 (gpt4)-20.8%
WinoGrande: 75.85 vs 87.5 (gpt4)-13.3%
GSM8K: 61.94 vs 96.4 (so35)-35.7%
LLME Score: 0.14538
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Waktaverse Llama 3 KO 8B Instruct (PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct)
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Waktaverse Llama 3 KO 8B Instruct Parameters and Internals

Model Type 
Large Language Model
Use Cases 
Limitations:
Not intended for high-stakes decision-making including medical, legal, or safety-critical applications due to potential risks of relying on automated decision-making.
Supported Languages 
Korean (High), English (Medium)
Training Details 
Data Sources:
MarkrAI/KoCommercial-Dataset
Methodology:
The model is trained using LoRA for computational efficiency. 0.04 billion parameters (0.51% of total parameters) were trained.
Context Length:
4096
Training Time:
80 hours
Hardware Used:
NVIDIA GeForce RTX 4080 SUPER
Input Output 
Performance Tips:
Add Korean system prompt for better output.
LLM NameWaktaverse Llama 3 KO 8B Instruct
Repository 🤗https://huggingface.co/PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2026-04-06
MaintainerPathFinderKR
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesko en
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct.

Rank the Waktaverse Llama 3 KO 8B Instruct Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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