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kalisai_-_Nusantara-4b-Indo-Chat-gguf

Name: kalisai_-_Nusantara-4b-Indo-Chat-gguf
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Nusantara-4b-Indo-Chat - GGUF

Model creator: https://huggingface.co/kalisai/
Original model: https://huggingface.co/kalisai/Nusantara-4b-Indo-Chat/

Name	Quant method	Size
Nusantara-4b-Indo-Chat.Q2_K.gguf	Q2_K	1.51GB
Nusantara-4b-Indo-Chat.IQ3_XS.gguf	IQ3_XS	1.66GB
Nusantara-4b-Indo-Chat.IQ3_S.gguf	IQ3_S	1.73GB
Nusantara-4b-Indo-Chat.Q3_K_S.gguf	Q3_K_S	1.73GB
Nusantara-4b-Indo-Chat.IQ3_M.gguf	IQ3_M	1.81GB
Nusantara-4b-Indo-Chat.Q3_K.gguf	Q3_K	1.89GB
Nusantara-4b-Indo-Chat.Q3_K_M.gguf	Q3_K_M	1.89GB
Nusantara-4b-Indo-Chat.Q3_K_L.gguf	Q3_K_L	2.03GB
Nusantara-4b-Indo-Chat.IQ4_XS.gguf	IQ4_XS	2.08GB
Nusantara-4b-Indo-Chat.Q4_0.gguf	Q4_0	2.17GB
Nusantara-4b-Indo-Chat.IQ4_NL.gguf	IQ4_NL	2.18GB
Nusantara-4b-Indo-Chat.Q4_K_S.gguf	Q4_K_S	2.18GB
Nusantara-4b-Indo-Chat.Q4_K.gguf	Q4_K	2.29GB
Nusantara-4b-Indo-Chat.Q4_K_M.gguf	Q4_K_M	2.29GB
Nusantara-4b-Indo-Chat.Q4_1.gguf	Q4_1	2.38GB
Nusantara-4b-Indo-Chat.Q5_0.gguf	Q5_0	2.58GB
Nusantara-4b-Indo-Chat.Q5_K_S.gguf	Q5_K_S	2.58GB
Nusantara-4b-Indo-Chat.Q5_K.gguf	Q5_K	2.64GB
Nusantara-4b-Indo-Chat.Q5_K_M.gguf	Q5_K_M	2.64GB
Nusantara-4b-Indo-Chat.Q5_1.gguf	Q5_1	2.79GB
Nusantara-4b-Indo-Chat.Q6_K.gguf	Q6_K	3.03GB
Nusantara-4b-Indo-Chat.Q8_0.gguf	Q8_0	3.92GB

Original model description:

library_name: transformers widget:

messages:
- role: system content: >- Anda adalah seorang konselor karir. User akan memberi Anda seorang individu mencari bimbingan dalam kehidupan profesional mereka, dan tugas Anda adalah membantu mereka dalam menentukan karir apa yang paling cocok bagi mereka berdasarkan keterampilan mereka, minat, dan pengalaman. Anda juga harus melakukan penelitian terhadap berbagai hal tersebut pilihan yang tersedia, jelaskan tren pasar kerja di berbagai industri, Dan saran tentang kualifikasi mana yang akan bermanfaat untuk mengejar bidang tertentu.
- role: user content: Halo Say!
- role: assistant content: Eh hai, Say ! Apa yang bisa aku bantu?
- role: user content: >- Tolong rekomendasikan skincare yang cocok untuk kulit berjerawat.
messages:
- role: system content: >- Anda adalah asisten yang berpengetahuan luas. Bantu user sebanyak yang Anda bisa.
- role: user content: Bagaimana caranya menjadi lebih aktif di Bulan Puasa?
messages:
- role: system content: Anda adalah asisten yang membantu dan memberikan tanggapan yang cerdas.
- role: user content: Haloooo Bund!
- role: assistant content: Halo! Apa yang bisa saya bantu?
- role: user content: >- Saya perlu menu buka puasa yang segar di Bulan Ramadhan ini, makanan khas Indonesia apa saja yang cocok untuk menu buka puasa di Bulan Ramadhan?
messages:
- role: system content: >- Anda adalah asisten yang sangat kreatif. Pengguna akan memberi Anda tugas, yang harus Anda selesaikan dengan seluruh pengetahuan Anda.
- role: user content: >- Tulis latar belakang cerita novel tentang seorang wanita yang ingin memberantas geng 9 Naga. inference: parameters: max_new_tokens: 128 penalty_alpha: 0.5 top_k: 4 pipeline_tag: text-generation tags:
conversational
convAI license: apache-2.0 language:
id
en datasets:
argilla/OpenHermes2.5-dpo-binarized-alpha
wikimedia/wikipedia
FreedomIntelligence/evol-instruct-indonesian

Model Description

Nusantara is a series of Open Weight Language Model of Bahasa Indonesia (Indonesia language). Nusantara is based from Qwen1.5 Language Model, finetuned by domain specific of datasets. As Chat-implemented language model, Nusantara is capable to do Question-Answering and respond to instructions given in Bahasa Indonesia. Due to limited resources, only 0.8B, 1.8B, 2.7B, 4B and 7B models are available. If you're interested in funding this project for further development, specific usage, or larger parameters, please contact us.

Finetuned by: Kalis AI
Funded by: Self-funded
Model type: transformer-based decoder-only language model
Language(s): Bahasa Indonesia (id), English (en)
License: Nusantara is licensed under Apache-2.0, but any usage of this model should comply with Qwen License
Finetuned from model: Qwen1.5-4B

Attentions!

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Because this model is also trained with uncensored datasets, there is the possibility of negative impacts arising from using this model. All kinds of impacts that arise as a result of using this model are entirely the responsibility of the user. The model maker is not responsible for any risks incurred.

How to Get Started with the Model

Here provides a code snippet with apply_chat_template to show you how to load the tokenizer and model and how to generate contents.

python

from transformers import AutoModelForCausalLM, AutoTokenizer
device = "cuda" # the device to load the model onto

model = AutoModelForCausalLM.from_pretrained(
    "kalisai/Nusantara-4B-Indo-Chat",
    torch_dtype="auto",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("kalisai/Nusantara-4B-Indo-Chat")

prompt = "Berikan saya resep memasak nasi goreng yang lezat."
messages = [
    {"role": "system", "content": "Kamu adalah Nusantara, asisten AI yang pintar."},
    {"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)
model_inputs = tokenizer([text], return_tensors="pt").to(device)

generated_ids = model.generate(
    model_inputs.input_ids,
    max_new_tokens=512
)
generated_ids = [
    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]

response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]

Citation

If you use the Nusantara language model in your research or project, please cite it as:

@misc{zulfikar_aji_kusworo_2024,
  title={Nusantara: A Series of Versatile Open Weight Language Model of Bahasa Indonesia},
  author={Zulfikar Aji Kusworo},
  publisher={Hugging Face}
  journal={Hugging Face Repository},
  year={2024}
  url = {https://huggingface.co/kalisai}
}

RichardErkhov/kalisai_-_Nusantara-4b-Indo-Chat-gguf