tests/dummy_data.json

[
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    },
    {
        "instruction": "Could you provide an introduction to MoE-PEFT?",
        "output": "MoE-PEFT is an open-source LLMOps framework developed by the IDs Lab at Sichuan University. It is designed for efficient fine-tuning, evaluation, and inference of Large Language Models (LLMs) using techniques such as LoRA, DoRA, MixLoRA, and others."
    }
]