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healthcareLLM_v4
kkh27/healthcareLLM_v4
healthcareLLM_v4 is a machine learning model from kkh27. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
- Base Model: yanolja/EEVE-Korean-Instruct-10.8B-v1.0 - Model Size: 10.8B - Fine-tuned by: kkh27 - Training Framework: Hugging Face Transformers + PEFT (LoRA) - Precision: bfloat16 (bf16) - Language: Korean
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10.8B
21.6 GB on disk
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At a glance
- Model type
- llama
- Access
- Public
- Created
- Aug 13, 2025
- Updated
- Aug 13, 2025
- SHA
- a769b1b3
Model card
From the Hugging Face model README
🛠️ Model Details
- Base Model:
yanolja/EEVE-Korean-Instruct-10.8B-v1.0 - Model Size: 10.8B
- Fine-tuned by: kkh27
- Training Framework: Hugging Face Transformers + PEFT (LoRA)
- Precision: bfloat16 (bf16)
- Language: Korean
🧪 Training Configuration
🔧 LoRA Configuration
| Parameter | Value |
|---|---|
Rank (r) | 16 |
| Alpha | 32 |
| Dropout | 0.05 |
| Bias | none |
| Task Type | CAUSAL_LM |
| Target Modules | q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj |
⚙️ Training Arguments
| Argument | Value |
|---|---|
| Per device train batch size | 8 |
| Gradient accumulation steps | 1 |
| Epochs | 3 |
| Learning rate | 5e-6 |
| Weight decay | 0.1 |
- Type
- llama
- Created
- Aug 13, 2025
- Updated
- Aug 13, 2025