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---
tags:
- merge
- mergekit
- lazymergekit
- Nitral-AI/Kunocchini-7b-128k-test
- Smuggling1710/An4-7Bv2
- Endevor/InfinityRP-v1-7B
- not-for-all-audiences
base_model:
- Nitral-AI/Kunocchini-7b-128k-test
- Smuggling1710/An4-7Bv2
- Endevor/InfinityRP-v1-7B
---
# An4-7Bv3
An4-7Bv3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Nitral-AI/Kunocchini-7b-128k-test](https://huggingface.co./Nitral-AI/Kunocchini-7b-128k-test)
* [Smuggling1710/An4-7Bv2](https://huggingface.co./Smuggling1710/An4-7Bv2)
* [Endevor/InfinityRP-v1-7B](https://huggingface.co./Endevor/InfinityRP-v1-7B)
## 🧩 Configuration
```yaml
models:
- model: Smuggling1710/An4-7Bv2
# No parameters necessary for base model
- model: Nitral-AI/Kunocchini-7b-128k-test
parameters:
density: 0.53
weight: 0.4
- model: Smuggling1710/An4-7Bv2
parameters:
density: 0.53
weight: 0.3
- model: Endevor/InfinityRP-v1-7B
parameters:
density: 0.53
weight: 0.3
merge_method: dare_ties
base_model: Smuggling1710/An4-7Bv2
parameters:
int8_mask: true
dtype: bfloat16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Smuggling1710/An4-7Bv3"
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"])
``` |