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---
tags:
- merge
- mergekit
- lazymergekit
- mlabonne/Monarch-7B
- paulml/OGNO-7B
- bardsai/jaskier-7b-dpo-v5.6
base_model:
- mlabonne/Monarch-7B
- paulml/OGNO-7B
- bardsai/jaskier-7b-dpo-v5.6
license: cc-by-nc-4.0
language:
- en
library_name: diffusers
---
# ogno-monarch-jaskier-merge-7b
ogno-monarch-jaskier-merge-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [mlabonne/Monarch-7B](https://huggingface.co/mlabonne/Monarch-7B)
* [paulml/OGNO-7B](https://huggingface.co/paulml/OGNO-7B)
* [bardsai/jaskier-7b-dpo-v5.6](https://huggingface.co/bardsai/jaskier-7b-dpo-v5.6)
## 🧩 Configuration
```yaml
models:
- model: eren23/dpo-binarized-NeutrixOmnibe-7B
# No parameters necessary for base model
- model: mlabonne/Monarch-7B
#Emphasize the beginning of Vicuna format models
parameters:
weight: 0.6
density: 0.59
- model: paulml/OGNO-7B
parameters:
weight: 0.1
density: 0.55
# Vicuna format
- model: bardsai/jaskier-7b-dpo-v5.6
parameters:
weight: 0.3
density: 0.55
merge_method: dare_ties
base_model: eren23/dpo-binarized-NeutrixOmnibe-7B
parameters:
int8_mask: true
dtype: bfloat16
random_seed: 0
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "eren23/ogno-monarch-jaskier-merge-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"])
```
GGUF Version: https://huggingface.co/eren23/ogno-monarch-jaskier-merge-7b-GGUF |