src/models_info.py

#feel free to correct these categories, I think size should also be added
model_info = {
    "meta-llama-Meta-Llama-3-70B": {
        "link": "https://huggingface.co/meta-llama/Meta-Llama-3-70B",
        "tuning": "🟢"  # Pre-trained
    },
    "meta-llama-Meta-Llama-3-8B": {
        "link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B",
        "tuning": "🟢"  # Pre-trained
    },
    "01-ai-Yi-1.5-34B": {
        "link": "https://huggingface.co/01-ai/Yi-1.5-34B",
        "tuning": "🔶"  # Fine-tuned on task specific dataset
    },
    "aaditya-Llama3-OpenBioLLM-70B": {
        "link": "https://huggingface.co/aaditya/Llama3-OpenBioLLM-70B",
        "tuning": "🔶"  # Fine-tuned on task specific dataset
    },
    "CohereForAI-aya-23-35B": {
        "link": "https://huggingface.co/CohereForAI/aya-23-35B",
        "tuning": "🔶"  # Fine-tuned on task specific dataset
    },
    "CohereForAI-c4ai-command-r-plus": {
        "link": "https://huggingface.co/CohereForAI/c4ai-command-r-plus",
        "tuning": "💬"  # Chat-model (RLHF, DPO, IFT, etc.)
    },
    "johnsnowlabs-JSL-MedLlama-3-8B-v9": {
        "link": "https://huggingface.co/johnsnowlabs/JSL-MedLlama-3-8B-v9",
        "tuning": "🔶"  # Fine-tuned on task specific dataset
    },
    "meta-llama-Llama-2-70B-hf": {
        "link": "https://huggingface.co/meta-llama/Llama-2-70B-hf",
        "tuning": "🟢"  # Pre-trained
    },
    "meta-llama-Llama-2-7b-hf": {
        "link": "https://huggingface.co/meta-llama/Llama-2-7b-hf",
        "tuning": "🟢"  # Pre-trained
    },
    "microsoft-phi-1_5": {
        "link": "https://huggingface.co/microsoft/phi-1_5",
        "tuning": "🟢"  # Pre-trained
    },
    "microsoft-phi-1": {
        "link": "https://huggingface.co/microsoft/phi-1",
        "tuning": "🟢"  # Pre-trained
    },
    "microsoft-phi-2": {
        "link": "https://huggingface.co/microsoft/phi-2",
        "tuning": "🟢"  # Pre-trained
    },
    "microsoft-Phi-3-medium-4k-instruct": {
        "link": "https://huggingface.co/microsoft/Phi-3-medium-4k-instruct",
        "tuning": "💬"  # Chat-model (RLHF, DPO, IFT, etc.)
    },
    "mistralai-Mistral-7B-v0.3": {
        "link": "https://huggingface.co/mistralai/Mistral-7B-v0.3",
        "tuning": "🟢"  # pre-trained
    },
    "mistralai-Mixtral-8x22B-v0.1": {
        "link": "https://huggingface.co/mistralai/Mixtral-8x22B-v0.1",
        "tuning": "🟢"  #  pre-trained
    },
    "mistralai-Mixtral-8x7B-v0.1": {
        "link": "https://huggingface.co/mistralai/Mixtral-8x7B-v0.1",
        "tuning": "🟢"  #  pre-trained
    },
    "ProbeMedicalYonseiMAILab-medllama3-v20": {
        "link": "https://huggingface.co/ProbeMedicalYonseiMAILab/medllama3-v20",
        "tuning": "🔶"  # Fine-tuned on task specific dataset
    },
    "Qwen-Qwen2-72B": {
        "link": "https://huggingface.co/Qwen/Qwen2-72B",
        "tuning": "🟢"  # Pre-trained
    },
    "Qwen-Qwen2-7B": {
        "link": "https://huggingface.co/Qwen/Qwen2-7B",
        "tuning": "🟢"  # Pre-trained
    },
    "GPT-4": {
        "link": "https://platform.openai.com/docs/models",
        "tuning": "💬"  
    },
    "GPT-4o": {
        "link": "https://platform.openai.com/docs/models",
        "tuning": "💬"  
    },
    "GPT-3.5 Turbo": {
        "link": "https://platform.openai.com/docs/models",
        "tuning": "💬"  
    },
    "Claude Opus": {
        "link": "https://www.anthropic.com/api",
        "tuning": "💬"  
    },
    "Gemini 1.5 Pro": {
        "link": "https://ai.google.dev/",
        "tuning": "💬"  
    },
    "Gemini Pro 1": {
        "link": "https://ai.google.dev/",
        "tuning": "💬"  
    },
    "Gemini 1.5 Flash": {
        "link": "https://ai.google.dev/",
        "tuning": "💬"  
    }
}