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#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": "💬"
}
}
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