README.md

---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- NousResearch/Hermes-2-Pro-Mistral-7B
base_model:
- NousResearch/Hermes-2-Pro-Mistral-7B
- NousResearch/Hermes-2-Pro-Mistral-7B
- NousResearch/Hermes-2-Pro-Mistral-7B
- NousResearch/Hermes-2-Pro-Mistral-7B
- NousResearch/Hermes-2-Pro-Mistral-7B
- NousResearch/Hermes-2-Pro-Mistral-7B
- NousResearch/Hermes-2-Pro-Mistral-7B
- NousResearch/Hermes-2-Pro-Mistral-7B
- NousResearch/Hermes-2-Pro-Mistral-7B
- NousResearch/Hermes-2-Pro-Mistral-7B
---

# Hermes-2-Pro-Mistral-Transplant

Hermes-2-Pro-Mistral-Transplant is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)

## 🧩 Configuration

```yaml
slices:
- sources:
  - layer_range: [0, 5]
    model: NousResearch/Hermes-2-Pro-Mistral-7B
- sources:
  - layer_range: [3, 8] 
    model: NousResearch/Hermes-2-Pro-Mistral-7B
- sources:
  - layer_range: [6, 11]
    model: NousResearch/Hermes-2-Pro-Mistral-7B
- sources:
  - layer_range: [9, 14]
    model: NousResearch/Hermes-2-Pro-Mistral-7B
- sources:
  - layer_range: [12, 17]
    model: NousResearch/Hermes-2-Pro-Mistral-7B 
- sources:
  - layer_range: [15, 20]
    model: NousResearch/Hermes-2-Pro-Mistral-7B
- sources:  
  - layer_range: [18, 23]
    model: NousResearch/Hermes-2-Pro-Mistral-7B
- sources:  
  - layer_range: [21, 26]
    model: NousResearch/Hermes-2-Pro-Mistral-7B
- sources:  
  - layer_range: [24, 29]
    model: NousResearch/Hermes-2-Pro-Mistral-7B
- sources:  
  - layer_range: [27, 32]
    model: NousResearch/Hermes-2-Pro-Mistral-7B

merge_method: passthrough
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mattshumer/Hermes-2-Pro-Mistral-Transplant"
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"])
```