HoloViolet-7B-test4 / README.md
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---
tags:
- merge
- mergekit
- lazymergekit
- KoboldAI/Mistral-7B-Holodeck-1
- FPHam/Sydney_Pirate_Mistral_7b
base_model:
- KoboldAI/Mistral-7B-Holodeck-1
- FPHam/Sydney_Pirate_Mistral_7b
---
# HoloViolet-7B-test4
HoloViolet-7B-test4 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [KoboldAI/Mistral-7B-Holodeck-1](https://huggingface.co/KoboldAI/Mistral-7B-Holodeck-1)
* [FPHam/Sydney_Pirate_Mistral_7b](https://huggingface.co/FPHam/Sydney_Pirate_Mistral_7b)
## 🧩 Configuration
```yaml
merge_method: dare_ties
base_model: GreenNode/GreenNode-mini-7B-multilingual-v1olet
models:
- model: GreenNode/GreenNode-mini-7B-multilingual-v1olet
- model: KoboldAI/Mistral-7B-Holodeck-1
parameters:
weight: 0.42
- model: FPHam/Sydney_Pirate_Mistral_7b
parameters:
weight: 0.21
dtype: bfloat16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "son-of-man/HoloViolet-7B-test4"
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"])
```