File size: 3,112 Bytes
4c59875
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
#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": "πŸ”Ά"  # Fine-tuned on task specific dataset
    },
    "aaditya-Llama3-OpenBioLLM-70B": {
        "link": "https://huggingface.co/aaditya/Llama3-OpenBioLLM-70B",
        "tuning": "πŸ”Ά"  # Fine-tuned on task specific dataset
    },
    "CohereForAI-aya-23-35B": {
        "link": "https://huggingface.co/CohereForAI/aya-23-35B",
        "tuning": "πŸ”Ά"  # Fine-tuned on task specific dataset
    },
    "CohereForAI-c4ai-command-r-plus": {
        "link": "https://huggingface.co/CohereForAI/c4ai-command-r-plus",
        "tuning": "πŸ’¬"  # Chat-model (RLHF, DPO, IFT, etc.)
    },
    "johnsnowlabs-JSL-MedLlama-3-8B-v9": {
        "link": "https://huggingface.co/johnsnowlabs/JSL-MedLlama-3-8B-v9",
        "tuning": "πŸ”Ά"  # 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": "πŸ’¬"  # Chat-model (RLHF, DPO, IFT, etc.)
    },
    "mistralai-Mistral-7B-v0.3": {
        "link": "https://huggingface.co/mistralai/Mistral-7B-v0.3",
        "tuning": "🟒"  # Continuously pre-trained
    },
    "mistralai-Mixtral-8x22B-v0.1": {
        "link": "https://huggingface.co/mistralai/Mixtral-8x22B-v0.1",
        "tuning": "🟒"  # Continuously pre-trained
    },
    "mistralai-Mixtral-8x7B-v0.1": {
        "link": "https://huggingface.co/mistralai/Mixtral-8x7B-v0.1",
        "tuning": "🟒"  # Continuously pre-trained
    },
    "ProbeMedicalYonseiMAILab-medllama3-v20": {
        "link": "https://huggingface.co/ProbeMedicalYonseiMAILab/medllama3-v20",
        "tuning": "πŸ”Ά"  # 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
    },
}