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hcup-llm-humanizer-v1
Sharpener9290/hcup-llm-humanizer-v1
hcup-llm-humanizer-v1 is a text generation model from Sharpener9290. Use it when you need the model to write or continue text. It is set up for peft.
- Base Model: mistralai/Mistral-7B-v0.3 - Adapter Type: LoRA (QLoRA 4-bit) - Training: DPO on clinical writing humanization pairs
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At a glance
- Task
- Text Generation
- Library
- peft
- Access
- Public
- Created
- May 23, 2026
- Updated
- May 23, 2026
- SHA
- 115f5e96
Try a prompt
Base models
Model card
From the Hugging Face model README
Model Card for HCUP LLM Humanizer Adapter
Model Details
- Base Model: mistralai/Mistral-7B-v0.3
- Adapter Type: LoRA (QLoRA 4-bit)
- Training: DPO on clinical writing humanization pairs
Purpose
Trained to produce humanized, non-AI-sounding clinical manuscripts using HCUP administrative data patterns.
Usage
from peft import PeftModel, AutoModelForCausalLM, AutoTokenizer
import torch
base = AutoModelForCausalLM.from_pretrained(
"mistralai/Mistral-7B-v0.3",
torch_dtype=torch.float16,
device_map="auto"
)
model = PeftModel.from_pretrained(base, "Sharpener9290/hcup-llm-humanizer-v1")
tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-v0.3")
Training Data
- 400 instruction pairs from HCUP corpus (nis, neds, trinetx, hcup_general)
- 50 preference pairs for DPO humanization style transfer
LoRA Config
- rank=16, alpha=32
- target_modules: q_proj, v_proj
- dropout=0.05
- Task
- Text Generation
- Library
- peft
- Created
- May 23, 2026
- Updated
- May 23, 2026