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ZNX-ai/ZNX-MoE-0.2B-SFT
ZNX-MoE-0.2B-SFT is a machine learning model from ZNX-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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From the Hugging Face model README
ZNX-MoE-0.2B-SFT-v1
Model Description
ZNX-MoE-0.2B-SFT-v1 is a 217M parameter Mixture-of-Experts (MoE) language model developed by RikZD under Zenith System. The model is primarily focused on Indonesian conversational abilities and general text generation.
This release is an early supervised fine-tuned (SFT) version built on top of the base ZNX-MoE-0.2B pretrained model.
Architecture
Training
Pretraining
The base model was pretrained for 50,000 steps on a mixed corpus containing Indonesian and multilingual text sources.
Supervised Fine-Tuning (SFT)
The model was fine-tuned on approximately 20,000 conversational samples from:
The objective of SFT is to improve:
Intended Use
Recommended use cases:
Not recommended for:
Known Limitations
This is an early release and still has several limitations:
Example
Prompt
User: Halo, siapa kamu?
Response
Assistant: Halo! Saya adalah ZNX-MoE, sebuah model bahasa yang dirancang untuk membantu menjawab pertanyaan dan melakukan percakapan dalam bahasa Indonesia.
License
This project is released for research and educational purposes.
Authors
Version