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---
tags:
- merge
- mergekit
- lazymergekit
- cgato/Thespis-CurtainCall-7b-v0.2.2
- udkai/Turdus
base_model:
- cgato/Thespis-CurtainCall-7b-v0.2.2
- udkai/Turdus
---
# TurdusNitrous-7B-V1
TurdusNitrous-7B-V1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* [cgato/Thespis-CurtainCall-7b-v0.2.2](https://huggingface.co/cgato/Thespis-CurtainCall-7b-v0.2.2)
* [udkai/Turdus](https://huggingface.co/udkai/Turdus)
## 🧩 Configuration
```yaml
models:
- model: cgato/Thespis-CurtainCall-7b-v0.2.2
parameters:
density: .5
weight: 1
- model: udkai/Turdus
parameters:
density: .5
weight: .7
merge_method: ties
base_model: BarraHome/Mistroll-7B-v2.2
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Kaoeiri/TurdusNitrous-7B-V1"
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"])
``` |