README.md

---
tags:
- merge
- mergekit
- lazymergekit
- zhengr/MixTAO-7Bx2-MoE-v8.1
base_model:
- zhengr/MixTAO-7Bx2-MoE-v8.1
- zhengr/MixTAO-7Bx2-MoE-v8.1
license: apache-2.0
---

# MixTAO-19B-pass

MixTAO-19B-pass is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [zhengr/MixTAO-7Bx2-MoE-v8.1](https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-v8.1)
* [zhengr/MixTAO-7Bx2-MoE-v8.1](https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-v8.1)

## 🧩 Configuration

```yaml
slices:
  - sources:
    - model: zhengr/MixTAO-7Bx2-MoE-v8.1
      layer_range: [0, 24]
  - sources:
    - model: zhengr/MixTAO-7Bx2-MoE-v8.1
      layer_range: [8, 32]
merge_method: passthrough
dtype: float16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "allknowingroger/MixTAO-19B-pass"
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",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```