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---
license: apache-2.0
tags:
- merge
- FelixChao/WizardDolphin-7B
- SanjiWatsuki/Silicon-Maid-7B
---
# Voldemort-10B
Voldemort-10B is a merge of the following models:
* [FelixChao/WizardDolphin-7B](https://huggingface.co/FelixChao/WizardDolphin-7B)
* [SanjiWatsuki/Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B)
## 🧩 Configuration
```yaml
slices:
- sources:
- model: FelixChao/WizardDolphin-7B
layer_range: [0, 24]
- sources:
- model: SanjiWatsuki/Silicon-Maid-7B
layer_range: [8, 32]
merge_method: passthrough
dtype: bfloat16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "FelixChao/Voldemort-10B"
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"])
``` |