README.md

---
tags:
- merge
- mergekit
- lazymergekit
- prometheus-eval/prometheus-8x7b-v2.0
- mistralai/Mixtral-8x7B-Instruct-v0.1
base_model:
- prometheus-eval/prometheus-8x7b-v2.0
- mistralai/Mixtral-8x7B-Instruct-v0.1
license: apache-2.0
---

# Merge-Mixtral-Prometheus-8x7B 

Merge-Mixtral-Prometheus-8x7B  is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [prometheus-eval/prometheus-8x7b-v2.0](https://huggingface.co/prometheus-eval/prometheus-8x7b-v2.0)
* [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)

## 🧩 Configuration

```yaml
models:
  - model: prometheus-eval/prometheus-8x7b-v2.0
    parameters:
      weight: 1.0
  - model: mistralai/Mixtral-8x7B-Instruct-v0.1
    parameters:
      weight: 1.0
merge_method: linear
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "vicgalle/test-merge-3"
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"])
```

## Paper citation

Paper: https://arxiv.org/abs/2406.07188