---
base_model:
- wwe180/Llama3-35B-lingyang-v1
library_name: transformers
tags:
- mergekit
- merge
license:
- other
---

#The model is experimental, so the results cannot be guaranteed.

## Merge Details
### Merge Method

This model was merged using the passthrough merge method using [wwe180/Llama3-35B-lingyang-v1](https://huggingface.co/wwe180/Llama3-35B-lingyang-v1) as a base.

### Models Merged

The following models were included in the merge:
* [wwe180/mergekit-passthrough-bklxjmn](https://huggingface.co/wwe180/mergekit-passthrough-bklxjmn) + [wave-on-discord/llama-3-70b-no-robots-adapter](https://huggingface.co/wave-on-discord/llama-3-70b-no-robots-adapter)

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "wwe180/Llama3-35B-lingyang-v1"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)