---
base_model:
- DreadPoor/Eunoia_Vespera-8B-LINEAR
- DreadPoor/Promissum_Mane-8B-LINEAR-lorablated
tags:
- merge
- mergekit
- lazymergekit
- DreadPoor/Eunoia_Vespera-8B-LINEAR
- DreadPoor/Promissum_Mane-8B-LINEAR-lorablated
---

# DreadMix

DreadMix is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [DreadPoor/Eunoia_Vespera-8B-LINEAR](https://huggingface.co/DreadPoor/Eunoia_Vespera-8B-LINEAR)
* [DreadPoor/Promissum_Mane-8B-LINEAR-lorablated](https://huggingface.co/DreadPoor/Promissum_Mane-8B-LINEAR-lorablated)

## 🧩 Configuration

```yaml
models:
  - model: DreadPoor/Aurora_faustus-8B-LORABLATED_ALT
  - model: DreadPoor/Eunoia_Vespera-8B-LINEAR
    parameters:
      density: 0.53
      weight: 0.55
  - model: DreadPoor/Promissum_Mane-8B-LINEAR-lorablated
    parameters:
      density: 0.53
      weight: 0.45
merge_method: dare_ties
base_model: DreadPoor/Aurora_faustus-8B-LORABLATED_ALT
parameters:
  int8_mask: true
dtype: bfloat16

```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "BoltMonkey/DreadMix"
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"])
```