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---
tags:
- merge
- mergekit
- lazymergekit
- prometheus-eval/prometheus-7b-v2.0
- 4bit/Mistral-7B-Instruct-v0.1
base_model:
- prometheus-eval/prometheus-7b-v2.0
- 4bit/Mistral-7B-Instruct-v0.1
license: apache-2.0
---
# Merge-Mistral-Prometheus-7B
Merge-Mistral-Prometheus-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [prometheus-eval/prometheus-7b-v2.0](https://huggingface.co/prometheus-eval/prometheus-7b-v2.0)
* [4bit/Mistral-7B-Instruct-v0.1](https://huggingface.co/4bit/Mistral-7B-Instruct-v0.1)
## 🧩 Configuration
```yaml
models:
- model: prometheus-eval/prometheus-7b-v2.0
parameters:
weight: 1.0
- model: 4bit/Mistral-7B-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-2"
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 |