---
tags:
- merge
- mergekit
- lazymergekit
- eren23/ogno-monarch-jaskier-merge-7b
- liminerity/Omningotex-7b-slerp
- yleo/OgnoMonarch-7B
base_model:
- eren23/ogno-monarch-jaskier-merge-7b
---

# ramonda-monarch-7b

ramonda-monarch-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [eren23/ogno-monarch-jaskier-merge-7b](https://huggingface.co/eren23/ogno-monarch-jaskier-merge-7b)
* [liminerity/Omningotex-7b-slerp](https://huggingface.co/liminerity/Omningotex-7b-slerp)
* [yleo/OgnoMonarch-7B](https://huggingface.co/yleo/OgnoMonarch-7B)

# 🏆 Benchmarks

### Open LLM Leaderboard
| Model                  | Average | ARC_easy  | HellaSwag | MMLU | TruthfulQA-mc2  | Winogrande | GSM8K | ARC_challenge |
|------------------------|--------:|-----:|----------:|-----:|-----------:|-----------:|------:|--------:|
| mayacinka/ramonda-monarch-7b |   76.66 | 86.91 |      87.45 | 61.97 |      77.4 |      81.61 |    73.01 |    68.26 |

### MMLU
|      Groups      |Version|Filter|n-shot|Metric|Value |   |Stderr|
|------------------|-------|------|------|------|-----:|---|-----:|
|mmlu              |N/A    |none  |     0|acc   |0.6197|±  |0.0039|
| - humanities     |N/A    |none  |None  |acc   |0.5762|±  |0.0067|
| - other          |N/A    |none  |None  |acc   |0.6936|±  |0.0080|
| - social_sciences|N/A    |none  |None  |acc   |0.7192|±  |0.0079|
| - stem           |N/A    |none  |None  |acc   |0.5147|±  |0.0085|


## 🧩 Configuration

```yaml
models:
  - model: bardsai/jaskier-7b-dpo-v5.6
    # No parameters necessary for base model
  - model: eren23/ogno-monarch-jaskier-merge-7b
    parameters:
      density: 0.53
      weight: 0.4
  - model: liminerity/Omningotex-7b-slerp
    parameters:
      density: 0.53
      weight: 0.3
  - model: yleo/OgnoMonarch-7B
    parameters:
      density: 0.53
      weight: 0.3
merge_method: dare_ties
base_model: bardsai/jaskier-7b-dpo-v5.6
parameters:
  int8_mask: true
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mayacinka/ramonda-monarch-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"])
```