# mix_full_ret

> LoRA adapter uploaded automatically.

## Overview
- **Type:** LoRA adapter (PEFT)
- **Task type:** `CAUSAL_LM`
- **Base model:** `/home/praveen/coreset/outputs/unified_llama`
- **LoRA r:** `8`
- **LoRA alpha:** `16`

## Usage
```python
from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM, AutoTokenizer

peft_model_id = "coreset-selection/mix_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.json`
- `adapter_model.bin` or `adapter_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/unified/gd_full_retain_model`_