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---
license: apache-2.0
datasets:
- daven3/geosignal
language:
- en
---
# Adapter Model in K2
## Quick Start
**After deploying the model [k2_fp_delta](https://huggingface.co/daven3/k2_fp_delta), we need to use the `PEFT` API from `transformers` to load the entire K2!**
```python
base_model = /path/to/geollama
lora_weights = /path/to/adapter/model
tokenizer = LlamaTokenizer.from_pretrained(base_model)
model = LlamaForCausalLM.from_pretrained(
base_model,
load_in_8bit=load_8bit,
device_map=device_map
torch_dtype=torch.float16
)
model = PeftModel.from_pretrained(
model,
lora_weights,
torch_dtype=torch.float16,
device_map=device_map,
)
model.config.pad_token_id = tokenizer.pad_token_id = 0
model.config.bos_token_id = 1
model.config.eos_token_id = 2
```
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