---
library_name: transformers
tags: []
---

# Model Card for Model ID

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## Model Details

### Model Description
```python
from peft import PeftConfig, PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

base_model = "ikedachin/llm-jp-3-13b-october-news-250128-1-merged"
peft_id_1 = "ikedachin/llm-jp-3-13b-october-news-250128-1-merged-sft-1-peft" # magpie ozaki
peft_id_2 = "ikedachin/llm-jp-3-13b-october-news-250128-1-merged-sft-1-logical-math-coding-lora" # logical_math_coding

model = AutoModelForCausalLM.from_pretrained(base_model, load_in_4bit=True, device_map="auto", token=HF_TOKEN).eval()
tokenizer = AutoTokenizer.from_pretrained(base_model, token=HF_TOKEN)

model = PeftModel.from_pretrained(model, peft_id_1, adapter_name="magpie_ozaki")
_ = model.load_adapter(peft_id_2, adapter_name="logical_math_coding")

adapters = ["magpie_ozaki", "logical_math_coding"]
weights = [1.0, 1.0]
adapter_name = "mergeed_2"
density = 0.1
model.add_weighted_adapter(adapters, weights, adapter_name, combination_type="ties", density=density)
```

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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