mradermacher/spydazweb_ai_lcars_humanization_003-i1-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003",
    "datasets": [
      "gretelai/synthetic_text_to_sql",
      "HuggingFaceTB/cosmopedia",
      "teknium/OpenHermes-2.5",
      "Open-Orca/SlimOrca",
      "Severian/Internal-Knowledge-Map",
      "Open-Orca/OpenOrca",
      "cognitivecomputations/dolphin-coder",
      "databricks/databricks-dolly-15k",
      "yahma/alpaca-cleaned",
      "uonlp/CulturaX",
      "mwitiderrick/SwahiliPlatypus",
      "NexusAI-tddi/OpenOrca-tr-1-million-sharegpt",
      "Vezora/Open-Critic-GPT",
      "verifiers-for-code/deepseek_plans_test",
      "meta-math/MetaMathQA",
      "KbsdJames/Omni-MATH",
      "swahili",
      "Rogendo/English-Swahili-Sentence-Pairs",
      "ise-uiuc/Magicoder-Evol-Instruct-110K",
      "meta-math/MetaMathQA",
      "abacusai/ARC_DPO_FewShot",
      "abacusai/MetaMath_DPO_FewShot",
      "abacusai/HellaSwag_DPO_FewShot",
      "HaltiaAI/Her-The-Movie-Samantha-and-Theodore-Dataset",
      "HuggingFaceFW/fineweb",
      "occiglot/occiglot-fineweb-v0.5",
      "omi-health/medical-dialogue-to-soap-summary",
      "keivalya/MedQuad-MedicalQnADataset",
      "ruslanmv/ai-medical-dataset",
      "Shekswess/medical_llama3_instruct_dataset_short",
      "ShenRuililin/MedicalQnA",
      "virattt/financial-qa-10K",
      "PatronusAI/financebench",
      "takala/financial_phrasebank",
      "Replete-AI/code_bagel",
      "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW",
      "IlyaGusev/gpt_roleplay_realm",
      "rickRossie/bluemoon_roleplay_chat_data_300k_messages",
      "jtatman/hypnosis_dataset",
      "Hypersniper/philosophy_dialogue",
      "Locutusque/function-calling-chatml",
      "bible-nlp/biblenlp-corpus",
      "DatadudeDev/Bible",
      "Helsinki-NLP/bible_para",
      "HausaNLP/AfriSenti-Twitter",
      "aixsatoshi/Chat-with-cosmopedia",
      "xz56/react-llama",
      "BeIR/hotpotqa",
      "YBXL/medical_book_train_filtered",
      "SkunkworksAI/reasoning-0.01",
      "THUDM/LongWriter-6k",
      "WhiteRabbitNeo/WRN-Chapter-1",
      "WhiteRabbitNeo/Code-Functions-Level-Cyber",
      "WhiteRabbitNeo/Code-Functions-Level-General"
    ],
    "language": [
      "en",
      "sw",
      "ig",
      "so",
      "es",
      "ca",
      "xh",
      "zu",
      "ha",
      "tw",
      "af",
      "hi",
      "bm",
      "su"
    ],
    "library_name": "transformers",
    "license": "mit",
    "quantized_by": "mradermacher",
    "tags": [
      "mergekit",
      "merge",
      "Mistral_Star",
      "Mistral_Quiet",
      "Mistral",
      "Mixtral",
      "Question-Answer",
      "Token-Classification",
      "Sequence-Classification",
      "SpydazWeb-AI",
      "chemistry",
      "biology",
      "legal",
      "code",
      "climate",
      "medical",
      "LCARS_AI_StarTrek_Computer",
      "text-generation-inference",
      "chain-of-thought",
      "tree-of-knowledge",
      "forest-of-thoughts",
      "visual-spacial-sketchpad",
      "alpha-mind",
      "knowledge-graph",
      "entity-detection",
      "encyclopedia",
      "wikipedia",
      "stack-exchange",
      "Reddit",
      "Cyber-series",
      "MegaMind",
      "Cybertron",
      "SpydazWeb",
      "Spydaz",
      "LCARS",
      "star-trek",
      "mega-transformers",
      "Mulit-Mega-Merge",
      "Multi-Lingual",
      "Afro-Centric",
      "African-Model",
      "Ancient-One"
    ],
    "frontmatter": {
      "base_model": "LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003",
      "datasets": [
        "gretelai/synthetic_text_to_sql",
        "HuggingFaceTB/cosmopedia",
        "teknium/OpenHermes-2.5",
        "Open-Orca/SlimOrca",
        "Severian/Internal-Knowledge-Map",
        "Open-Orca/OpenOrca",
        "cognitivecomputations/dolphin-coder",
        "databricks/databricks-dolly-15k",
        "yahma/alpaca-cleaned",
        "uonlp/CulturaX",
        "mwitiderrick/SwahiliPlatypus",
        "NexusAI-tddi/OpenOrca-tr-1-million-sharegpt",
        "Vezora/Open-Critic-GPT",
        "verifiers-for-code/deepseek_plans_test",
        "meta-math/MetaMathQA",
        "KbsdJames/Omni-MATH",
        "swahili",
        "Rogendo/English-Swahili-Sentence-Pairs",
        "ise-uiuc/Magicoder-Evol-Instruct-110K",
        "meta-math/MetaMathQA",
        "abacusai/ARC_DPO_FewShot",
        "abacusai/MetaMath_DPO_FewShot",
        "abacusai/HellaSwag_DPO_FewShot",
        "HaltiaAI/Her-The-Movie-Samantha-and-Theodore-Dataset",
        "HuggingFaceFW/fineweb",
        "occiglot/occiglot-fineweb-v0.5",
        "omi-health/medical-dialogue-to-soap-summary",
        "keivalya/MedQuad-MedicalQnADataset",
        "ruslanmv/ai-medical-dataset",
        "Shekswess/medical_llama3_instruct_dataset_short",
        "ShenRuililin/MedicalQnA",
        "virattt/financial-qa-10K",
        "PatronusAI/financebench",
        "takala/financial_phrasebank",
        "Replete-AI/code_bagel",
        "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW",
        "IlyaGusev/gpt_roleplay_realm",
        "rickRossie/bluemoon_roleplay_chat_data_300k_messages",
        "jtatman/hypnosis_dataset",
        "Hypersniper/philosophy_dialogue",
        "Locutusque/function-calling-chatml",
        "bible-nlp/biblenlp-corpus",
        "DatadudeDev/Bible",
        "Helsinki-NLP/bible_para",
        "HausaNLP/AfriSenti-Twitter",
        "aixsatoshi/Chat-with-cosmopedia",
        "xz56/react-llama",
        "BeIR/hotpotqa",
        "YBXL/medical_book_train_filtered",
        "SkunkworksAI/reasoning-0.01",
        "THUDM/LongWriter-6k",
        "WhiteRabbitNeo/WRN-Chapter-1",
        "WhiteRabbitNeo/Code-Functions-Level-Cyber",
        "WhiteRabbitNeo/Code-Functions-Level-General"
      ],
      "language": [
        "en",
        "sw",
        "ig",
        "so",
        "es",
        "ca",
        "xh",
        "zu",
        "ha",
        "tw",
        "af",
        "hi",
        "bm",
        "su"
      ],
      "library_name": "transformers",
      "license": "mit",
      "quantized_by": "mradermacher",
      "tags": [
        "mergekit",
        "merge",
        "Mistral_Star",
        "Mistral_Quiet",
        "Mistral",
        "Mixtral",
        "Question-Answer",
        "Token-Classification",
        "Sequence-Classification",
        "SpydazWeb-AI",
        "chemistry",
        "biology",
        "legal",
        "code",
        "climate",
        "medical",
        "LCARS_AI_StarTrek_Computer",
        "text-generation-inference",
        "chain-of-thought",
        "tree-of-knowledge",
        "forest-of-thoughts",
        "visual-spacial-sketchpad",
        "alpha-mind",
        "knowledge-graph",
        "entity-detection",
        "encyclopedia",
        "wikipedia",
        "stack-exchange",
        "Reddit",
        "Cyber-series",
        "MegaMind",
        "Cybertron",
        "SpydazWeb",
        "Spydaz",
        "LCARS",
        "star-trek",
        "mega-transformers",
        "Mulit-Mega-Merge",
        "Multi-Lingual",
        "Afro-Centric",
        "African-Model",
        "Ancient-One"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003  static quants are available at https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003\ndatasets:\n- gretelai/synthetic_text_to_sql\n- HuggingFaceTB/cosmopedia\n- teknium/OpenHermes-2.5\n- Open-Orca/SlimOrca\n- Severian/Internal-Knowledge-Map\n- Open-Orca/OpenOrca\n- cognitivecomputations/dolphin-coder\n- databricks/databricks-dolly-15k\n- yahma/alpaca-cleaned\n- uonlp/CulturaX\n- mwitiderrick/SwahiliPlatypus\n- NexusAI-tddi/OpenOrca-tr-1-million-sharegpt\n- Vezora/Open-Critic-GPT\n- verifiers-for-code/deepseek_plans_test\n- meta-math/MetaMathQA\n- KbsdJames/Omni-MATH\n- swahili\n- Rogendo/English-Swahili-Sentence-Pairs\n- ise-uiuc/Magicoder-Evol-Instruct-110K\n- meta-math/MetaMathQA\n- abacusai/ARC_DPO_FewShot\n- abacusai/MetaMath_DPO_FewShot\n- abacusai/HellaSwag_DPO_FewShot\n- HaltiaAI/Her-The-Movie-Samantha-and-Theodore-Dataset\n- HuggingFaceFW/fineweb\n- occiglot/occiglot-fineweb-v0.5\n- omi-health/medical-dialogue-to-soap-summary\n- keivalya/MedQuad-MedicalQnADataset\n- ruslanmv/ai-medical-dataset\n- Shekswess/medical_llama3_instruct_dataset_short\n- ShenRuililin/MedicalQnA\n- virattt/financial-qa-10K\n- PatronusAI/financebench\n- takala/financial_phrasebank\n- Replete-AI/code_bagel\n- athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW\n- IlyaGusev/gpt_roleplay_realm\n- rickRossie/bluemoon_roleplay_chat_data_300k_messages\n- jtatman/hypnosis_dataset\n- Hypersniper/philosophy_dialogue\n- Locutusque/function-calling-chatml\n- bible-nlp/biblenlp-corpus\n- DatadudeDev/Bible\n- Helsinki-NLP/bible_para\n- HausaNLP/AfriSenti-Twitter\n- aixsatoshi/Chat-with-cosmopedia\n- xz56/react-llama\n- BeIR/hotpotqa\n- YBXL/medical_book_train_filtered\n- SkunkworksAI/reasoning-0.01\n- THUDM/LongWriter-6k\n- WhiteRabbitNeo/WRN-Chapter-1\n- WhiteRabbitNeo/Code-Functions-Level-Cyber\n- WhiteRabbitNeo/Code-Functions-Level-General\nlanguage:\n- en\n- sw\n- ig\n- so\n- es\n- ca\n- xh\n- zu\n- ha\n- tw\n- af\n- hi\n- bm\n- su\nlibrary_name: transformers\nlicense: mit\nquantized_by: mradermacher\ntags:\n- mergekit\n- merge\n- Mistral_Star\n- Mistral_Quiet\n- Mistral\n- Mixtral\n- Question-Answer\n- Token-Classification\n- Sequence-Classification\n- SpydazWeb-AI\n- chemistry\n- biology\n- legal\n- code\n- climate\n- medical\n- LCARS_AI_StarTrek_Computer\n- text-generation-inference\n- chain-of-thought\n- tree-of-knowledge\n- forest-of-thoughts\n- visual-spacial-sketchpad\n- alpha-mind\n- knowledge-graph\n- entity-detection\n- encyclopedia\n- wikipedia\n- stack-exchange\n- Reddit\n- Cyber-series\n- MegaMind\n- Cybertron\n- SpydazWeb\n- Spydaz\n- LCARS\n- star-trek\n- mega-transformers\n- Mulit-Mega-Merge\n- Multi-Lingual\n- Afro-Centric\n- African-Model\n- Ancient-One\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/LeroyDyer/SpydazWeb_AI_LCARS_Humanization_003\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-GGUF\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ1_S.gguf) | i1-IQ1_S | 1.7 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ1_M.gguf) | i1-IQ1_M | 1.9 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ2_S.gguf) | i1-IQ2_S | 2.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ2_M.gguf) | i1-IQ2_M | 2.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q2_K_S.gguf) | i1-Q2_K_S | 2.6 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.3 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ3_S.gguf) | i1-IQ3_S | 3.3 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ3_M.gguf) | i1-IQ3_M | 3.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.6 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.9 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q4_0.gguf) | i1-Q4_0 | 4.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.2 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.2 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q4_1.gguf) | i1-Q4_1 | 4.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_LCARS_Humanization_003-i1-GGUF/resolve/main/SpydazWeb_AI_LCARS_Humanization_003.i1-Q6_K.gguf) | i1-Q6_K | 6.0 | practically like static Q6_K |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "mergekit",
    "merge",
    "Mistral_Star",
    "Mistral_Quiet",
    "Mistral",
    "Mixtral",
    "Question-Answer",
    "Token-Classification",
    "Sequence-Classification",
    "SpydazWeb-AI",
    "chemistry",
    "biology",
    "legal",
    "code",
    "climate",
    "medical",
    "LCARS_AI_StarTrek_Computer",
    "text-generation-inference",
    "chain-of-thought",
    "tree-of-knowledge",
    "forest-of-thoughts",
    "visual-spacial-sketchpad",
    "alpha-mind",
    "knowledge-graph",
    "entity-detection",
    "encyclopedia",
    "wikipedia",
    "stack-exchange",
    "Reddit",
    "Cyber-series",
    "MegaMind",
    "Cybertron",
    "SpydazWeb",
    "Spydaz",
    "LCARS",
    "star-trek",
    "mega-transformers",
    "Mulit-Mega-Merge",
    "Multi-Lingual",
    "Afro-Centric",
    "African-Model",
    "Ancient-One",
    "en",
    "sw",
    "ig",
    "so",
    "es",
    "ca",
    "xh",
    "zu",
    "ha",
    "tw",
    "af",
    "hi",
    "bm",
    "su",
    "dataset:gretelai/synthetic_text_to_sql",
    "dataset:HuggingFaceTB/cosmopedia",
    "dataset:teknium/OpenHermes-2.5",
    "dataset:Open-Orca/SlimOrca",
    "dataset:Severian/Internal-Knowledge-Map",
    "dataset:Open-Orca/OpenOrca",
    "dataset:cognitivecomputations/dolphin-coder",
    "dataset:databricks/databricks-dolly-15k",
    "dataset:yahma/alpaca-cleaned",
    "dataset:uonlp/CulturaX",
    "dataset:mwitiderrick/SwahiliPlatypus",
    "dataset:NexusAI-tddi/OpenOrca-tr-1-million-sharegpt",
    "dataset:Vezora/Open-Critic-GPT",
    "dataset:verifiers-for-code/deepseek_plans_test",
    "dataset:meta-math/MetaMathQA",
    "dataset:KbsdJames/Omni-MATH",
    "dataset:swahili",
    "dataset:Rogendo/English-Swahili-Sentence-Pairs",
    "dataset:ise-uiuc/Magicoder-Evol-Instruct-110K",
    "dataset:abacusai/ARC_DPO_FewShot",
    "dataset:abacusai/MetaMath_DPO_FewShot",
    "dataset:abacusai/HellaSwag_DPO_FewShot",
    "dataset:HaltiaAI/Her-The-Movie-Samantha-and-Theodore-Dataset",
    "dataset:HuggingFaceFW/fineweb",
    "dataset:occiglot/occiglot-fineweb-v0.5",
    "dataset:omi-health/medical-dialogue-to-soap-summary",
    "dataset:keivalya/MedQuad-MedicalQnADataset",
    "dataset:ruslanmv/ai-medical-dataset",
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