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---
tags:
- merge
- mergekit
base_model:
- seyf1elislam/WestKunai-Hermes-7b
- seyf1elislam/KuTrix-7b
license: cc-by-nc-4.0
---
# Kunai-XD-7b
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Models Merged
The following models were included in the merge:
* [seyf1elislam/WestKunai-Hermes-7b](https://huggingface.co/seyf1elislam/WestKunai-Hermes-7b)
* [seyf1elislam/KuTrix-7b](https://huggingface.co/seyf1elislam/KuTrix-7b)
## Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
# No parameters necessary for base model
- model: seyf1elislam/WestKunai-Hermes-7b
parameters:
weight: 0.75
density: 0.65
- model: seyf1elislam/KuTrix-7b
parameters:
weight: 0.25
density: 0.65
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
int8_mask: true
dtype: bfloat16
```
## Usage Example
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "seyf1elislam/Kunai-XD-7b"
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"])
``` |