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---
tags:
- merge
- mergekit
license: cc-by-nc-4.0
language:
- id
- en
---
# MiaLatte-Indo-Mistral-7b
MiaLatte is a derivative model of [OpenMia](https://huggingface.co/indischepartij/OpenMia-Indo-Mistral-7b-v2), which is able to answer everyday questions specifically in Bahasa Indonesia (Indonesia Language).
some of GGUF: https://huggingface.co/indischepartij/MiaLatte-Indo-Mistral-7b-GGUF
# Examples
MiaLatte-Indo-Mistral-7b is a merge of the following models using MergeKit:
* [indischepartij/OpenMia-Indo-Mistral-7b-v2](https://huggingface.co/indischepartij/OpenMia-Indo-Mistral-7b-v2)
* [Obrolin/Kesehatan-7B-v0.1](https://huggingface.co/Obrolin/Kesehatan-7B-v0.1)
* [FelixChao/WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2)
## 🧩 Configuration
```yaml
slices:
models:
- model: indischepartij/OpenMia-Indo-Mistral-7b-v2
parameters:
density: 0.50
weight: 0.35
- model: Obrolin/Kesehatan-7B-v0.1
parameters:
density: 0.50
weight: 0.35
- model: FelixChao/WestSeverus-7B-DPO-v2
parameters:
density: 0.50
weight: 0.30
merge_method: dare_ties
base_model: indischepartij/OpenMia-Indo-Mistral-7b-v2
parameters:
int8_mask: true
dtype: float16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "indischepartij/MiaLatte-Indo-Mistral-7b"
messages = [{"role": "user", "content": "Apa jenis skincare yang cocok untuk kulit berjerawat??"}]
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"])
``` |