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Llama 3 Instruction Constructionsafety Layertuning by DBCMLAB

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Llama 3 Instruction Constructionsafety Layertuning is an open-source language model by DBCMLAB. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: cc-by-nc-4.0, Instruction-Based, LLM Explorer Score: 0.15, Arc: 55.5, HellaSwag: 75.1, MMLU: 55.7, GSM8K: 33.6.

  Conversational   Deploy:azure   Endpoints compatible   Facebook   Instruct   Ko   Llama   Llama3   Meta   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DBCMLAB/Llama-3-instruction-constructionsafety-layertuning 

Llama 3 Instruction Constructionsafety Layertuning Benchmarks

ARC: 55.46 vs 96.7 (so35)-42.6%
HellaSwag: 75.06 vs 95.3 (gpt4)-21.2%
MMLU: 55.67 vs 88.3 (so35)-37%
GSM8K: 33.59 vs 96.4 (so35)-65.2%
LLME Score: 0.15493
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Instruction Constructionsafety Layertuning (DBCMLAB/Llama-3-instruction-constructionsafety-layertuning)
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Llama 3 Instruction Constructionsafety Layertuning Parameters and Internals

Model Type 
fine-tuned
Use Cases 
Applications:
Construction safety training
Primary Use Cases:
Providing safety guidelines in construction
Limitations:
Possibly limited to construction safety context
Supported Languages 
Korean (high)
Training Details 
Data Sources:
QA datasets, RAW data from Korea Occupational Safety and Health Agency (KOSHA)
Data Volume:
11,000 examples
Methodology:
Full parameter tuning; layers 0, 30, and 31 replaced post-training with base model parameters
Hardware Used:
2xA100GPU (80GB)
LLM NameLlama 3 Instruction Constructionsafety Layertuning
Repository 🤗https://huggingface.co/DBCMLAB/Llama-3-instruction-constructionsafety-layertuning 
Model Size8b
Required VRAM16.1 GB
Updated2026-05-20
MaintainerDBCMLAB
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
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than DBCMLAB/Llama-3-instruction-constructionsafety-layertuning.

Rank the Llama 3 Instruction Constructionsafety Layertuning 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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