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wpu_full_ret
coreset-selection/wpu_full_ret
wpu_full_ret is a machine learning model from coreset-selection. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Public
Updated Nov 13, 2025
Repo size
101 MB
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Repo makeup
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.safetensors83.9 MB · 83%
At a glance
- Access
- Public
- Created
- Nov 13, 2025
- Updated
- Nov 13, 2025
- SHA
- 5aa9525f
Model card
From the Hugging Face model README
wpu_full_ret
LoRA adapter uploaded automatically.
Overview
- Type: LoRA adapter (PEFT)
- Task type:
CAUSAL_LM - Base model:
/home/praveen/coreset/outputs/llama_3_1_8b_finetuned - LoRA r:
8 - LoRA alpha:
16
Usage
from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM, AutoTokenizer
peft_model_id = "coreset-selection/wpu_full_ret"
cfg = PeftConfig.from_pretrained(peft_model_id)
base = cfg.base_model_name_or_path
tok = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base, torch_dtype='auto')
model = PeftModel.from_pretrained(model, peft_model_id)
Files
adapter_config.jsonadapter_model.binoradapter_model.safetensors
Notes
- This repo contains only the LoRA adapter weights.
- Load with the matching base model specified above.
Uploaded from: /home/praveen/coreset/outputs/gd_full_retain_model
- Created
- Nov 13, 2025
- Updated
- Nov 13, 2025