jiwon9703/KoLlama-3.1-8B-Instruct-qlora-sft-DDP-v0
KoLlama-3.1-8B-Instruct-qlora-sft-DDP-v0 is an 8 billion parameter instruction-tuned language model developed by jiwon9703, based on Meta's Llama-3.1-8B-Instruct architecture. This model is fine-tuned using QLoRA with Distributed Data Parallel (DDP) for enhanced performance. It specializes in Korean and English language tasks, making it particularly suitable for applications requiring strong bilingual capabilities. The model leverages 4-bit quantization and LoRA for efficient deployment and inference.
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Model Overview
KoLlama-3.1-8B-Instruct-qlora-sft-DDP-v0 is an 8 billion parameter instruction-tuned language model developed by jiwon9703. It is built upon the robust meta-llama/Llama-3.1-8B-Instruct base model and has been specifically fine-tuned for Korean and English language tasks.
Key Features & Training Details
- Base Model: Llama-3.1-8B-Instruct, providing a strong foundation for general language understanding.
- Fine-tuning Method: Utilizes QLoRA (Quantized Low-Rank Adaptation) with 4-bit NF4 quantization and double quantization enabled, making it efficient for deployment.
- Distributed Training: Trained using Distributed Data Parallel (DDP) across 4 NVIDIA GPUs, indicating a robust and scalable training process.
- Language Focus: Primarily instruction-tuned on a dedicated Korean SFT dataset (
ko_combined_sft_dataset.json), enhancing its performance in Korean language generation and comprehension, while also supporting English. - LoRA Configuration: Employs a LoRA rank (r) of 8 and alpha of 16, targeting key attention and feed-forward modules (
q_proj,k_proj,v_proj,o_proj,up_proj,down_proj,gate_proj). - Context Length: Supports a maximum sequence length of 4096 tokens during training.
Intended Use Cases
This model is well-suited for applications requiring instruction-following capabilities in both Korean and English. Its fine-tuning on Korean datasets makes it a strong candidate for:
- Korean language generation and understanding.
- Bilingual chatbots and conversational AI systems.
- Text summarization and translation tasks involving Korean.
- General instruction-following tasks in both languages.
Limitations
As with its base model, KoLlama-3.1-8B-Instruct-qlora-sft-DDP-v0 may exhibit limitations such as generating incorrect or biased information. It is not recommended for critical applications without human oversight.