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---
tags:
- merge
- mergekit
- lazymergekit
- Hypersniper/The_Philosopher_Zephyr_7B
- sayhan/OpenHermes-2.5-Strix-Philosophy-Mistral-7B-LoRA
- teknium/Mistral-Trismegistus-7B
base_model:
- Hypersniper/The_Philosopher_Zephyr_7B
- sayhan/OpenHermes-2.5-Strix-Philosophy-Mistral-7B-LoRA
- teknium/Mistral-Trismegistus-7B
---
# Trascendental-Bot-7B
Trascendental-Bot-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Hypersniper/The_Philosopher_Zephyr_7B](https://huggingface.co/Hypersniper/The_Philosopher_Zephyr_7B)
* [sayhan/OpenHermes-2.5-Strix-Philosophy-Mistral-7B-LoRA](https://huggingface.co/sayhan/OpenHermes-2.5-Strix-Philosophy-Mistral-7B-LoRA)
* [teknium/Mistral-Trismegistus-7B](https://huggingface.co/teknium/Mistral-Trismegistus-7B)
## 🧩 Configuration
```yaml
models:
- model: teknium/Mistral-Trismegistus-7B
# no parameters necessary for base model
- model: Hypersniper/The_Philosopher_Zephyr_7B
parameters:
density: 0.55
weight: 0.3
- model: sayhan/OpenHermes-2.5-Strix-Philosophy-Mistral-7B-LoRA
parameters:
density: 0.55
weight: 0.3
- model: teknium/Mistral-Trismegistus-7B
parameters:
density: 0.4
weight: 0.66
merge_method: dare_ties
base_model: teknium/Mistral-Trismegistus-7B
parameters:
int8_mask: true
dtype: bfloat16
random_seed: 0
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Kukedlc/Trascendental-Bot-7B"
messages = [
{"role": "system", "content": "You are an expert assistant in mysticism and philosophy."},
{"role": "user", "content": "Create an innovative and disruptive theory that explains human consciousness. Give me an extensive and detailed answer."}
]
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=1024, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
``` |