---
tags:
- merge
- mergekit
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
base_model:
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
- brucethemoose/Yi-34B-200K-DARE-megamerge-v8
---

# VA-Etheria-55b

VA-Etheria-55b is a merge of the following models using
* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)
* [brucethemoose/Yi-34B-200K-DARE-megamerge-v8](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8)

## 🧩 Configuration

```yaml
dtype: bfloat16
slices:
- sources:
    - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
      layer_range: [0, 14]
- sources:
    - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
      layer_range: [7, 21]
- sources:
    - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
      layer_range: [15, 29]
- sources:
    - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
      layer_range: [22, 36]
- sources:
    - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
      layer_range: [30, 44]
- sources:
    - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
      layer_range: [37, 51]
- sources:
    - model: brucethemoose/Yi-34B-200K-DARE-megamerge-v8
      layer_range: [45, 59]
merge_method: passthrough
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "steelskull/VA-Etheria-55b"
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"])
```