---
tags:
- merge
- mergekit
- lucyknada/microsoft_WizardLM-2-7B
- upaya07/Arithmo2-Mistral-7B
base_model:
- lucyknada/microsoft_WizardLM-2-7B
license: apache-2.0
---
![](https://raw.githubusercontent.com/saucam/models/main/arithmo-wizard.png)

# Arithmo-Wizard-2-7B

Arithmo-Wizard-2-7B is a merge of the following models using [Mergekit](https://github.com/arcee-ai/mergekit):
* [lucyknada/microsoft_WizardLM-2-7B](https://huggingface.co/lucyknada/microsoft_WizardLM-2-7B)
* [upaya07/Arithmo2-Mistral-7B](https://huggingface.co/upaya07/Arithmo2-Mistral-7B)

## 🧩 Configuration

```yamlname: Arithmo-Wizard-2-7B
base_model:
  model:
    path: lucyknada/microsoft_WizardLM-2-7B
dtype: float16
merge_method: dare_linear
parameters:
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 32]
    model:
      model:
        path: lucyknada/microsoft_WizardLM-2-7B
  - layer_range: [0, 32]
    model:
      model:
        path: upaya07/Arithmo2-Mistral-7B
    parameters:
      weight: 0.5
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "saucam/Arithmo-Wizard-2-7B"
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"])
```