Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


FrankenMonarch-7B - GGUF
- Model creator: https://huggingface.co/mlabonne/
- Original model: https://huggingface.co/mlabonne/FrankenMonarch-7B/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [FrankenMonarch-7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q2_K.gguf) | Q2_K | 3.73GB |
| [FrankenMonarch-7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.IQ3_XS.gguf) | IQ3_XS | 4.14GB |
| [FrankenMonarch-7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.IQ3_S.gguf) | IQ3_S | 4.37GB |
| [FrankenMonarch-7B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q3_K_S.gguf) | Q3_K_S | 4.34GB |
| [FrankenMonarch-7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.IQ3_M.gguf) | IQ3_M | 4.51GB |
| [FrankenMonarch-7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q3_K.gguf) | Q3_K | 4.84GB |
| [FrankenMonarch-7B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q3_K_M.gguf) | Q3_K_M | 4.84GB |
| [FrankenMonarch-7B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q3_K_L.gguf) | Q3_K_L | 5.26GB |
| [FrankenMonarch-7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.IQ4_XS.gguf) | IQ4_XS | 5.43GB |
| [FrankenMonarch-7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q4_0.gguf) | Q4_0 | 5.66GB |
| [FrankenMonarch-7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.IQ4_NL.gguf) | IQ4_NL | 5.72GB |
| [FrankenMonarch-7B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q4_K_S.gguf) | Q4_K_S | 5.7GB |
| [FrankenMonarch-7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q4_K.gguf) | Q4_K | 6.02GB |
| [FrankenMonarch-7B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q4_K_M.gguf) | Q4_K_M | 6.02GB |
| [FrankenMonarch-7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q4_1.gguf) | Q4_1 | 6.27GB |
| [FrankenMonarch-7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q5_0.gguf) | Q5_0 | 6.89GB |
| [FrankenMonarch-7B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q5_K_S.gguf) | Q5_K_S | 6.89GB |
| [FrankenMonarch-7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q5_K.gguf) | Q5_K | 7.08GB |
| [FrankenMonarch-7B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q5_K_M.gguf) | Q5_K_M | 7.08GB |
| [FrankenMonarch-7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q5_1.gguf) | Q5_1 | 7.51GB |
| [FrankenMonarch-7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q6_K.gguf) | Q6_K | 8.2GB |
| [FrankenMonarch-7B.Q8_0.gguf](https://huggingface.co/RichardErkhov/mlabonne_-_FrankenMonarch-7B-gguf/blob/main/FrankenMonarch-7B.Q8_0.gguf) | Q8_0 | 10.62GB |




Original model description:
---
license: cc-by-nc-4.0
tags:
- merge
- mergekit
- lazymergekit
base_model:
- mlabonne/AlphaMonarch-7B
- mlabonne/AlphaMonarch-7B
- mlabonne/AlphaMonarch-7B
- mlabonne/AlphaMonarch-7B
- mlabonne/AlphaMonarch-7B
---

# FrankenMonarch-7B

FrankenMonarch-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)

# Quantized versions : 
- [**GGUF**](https://huggingface.co/seyf1elislam/FrankenMonarch-7B-GGUF)


## 🧩 Configuration

```yaml
dtype: float16
merge_method: passthrough
slices:
  - sources:
    - model: mlabonne/AlphaMonarch-7B
      layer_range: [0,9]
  - sources:
    - model: mlabonne/AlphaMonarch-7B
      layer_range: [5,14]
  - sources:
    - model: mlabonne/AlphaMonarch-7B
      layer_range: [10,19]
  - sources:
    - model: mlabonne/AlphaMonarch-7B
      layer_range: [15,24]
  - sources:
    - model: mlabonne/AlphaMonarch-7B
      layer_range: [20,32]
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mlabonne/FrankenMonarch-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"])
```