mradermacher/spydazweb_ai_humanai_008_chatqa-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "LeroyDyer/SpydazWeb_AI_HumanAI_008_ChatQA",
    "datasets": [
      "neoneye/base64-decode-v2",
      "neoneye/base64-encode-v1",
      "VuongQuoc/Chemistry_text_to_image",
      "Kamizuru00/diagram_image_to_text",
      "LeroyDyer/Chemistry_text_to_image_BASE64",
      "LeroyDyer/AudioCaps-Spectrograms_to_Base64",
      "LeroyDyer/winogroud_text_to_imaget_BASE64",
      "LeroyDyer/chart_text_to_Base64",
      "LeroyDyer/diagram_image_to_text_BASE64",
      "mekaneeky/salt_m2e_15_3_instruction",
      "mekaneeky/SALT-languages-bible",
      "xz56/react-llama",
      "BeIR/hotpotqa",
      "arcee-ai/agent-data"
    ],
    "language": [
      "en",
      "sw",
      "ig",
      "so",
      "es",
      "ca",
      "xh",
      "zu",
      "ha",
      "tw",
      "af",
      "hi",
      "bm",
      "su"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "tags": [
      "text-generation-inference",
      "transformers",
      "unsloth",
      "mistral",
      "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_HumanAI_008_ChatQA",
      "datasets": [
        "neoneye/base64-decode-v2",
        "neoneye/base64-encode-v1",
        "VuongQuoc/Chemistry_text_to_image",
        "Kamizuru00/diagram_image_to_text",
        "LeroyDyer/Chemistry_text_to_image_BASE64",
        "LeroyDyer/AudioCaps-Spectrograms_to_Base64",
        "LeroyDyer/winogroud_text_to_imaget_BASE64",
        "LeroyDyer/chart_text_to_Base64",
        "LeroyDyer/diagram_image_to_text_BASE64",
        "mekaneeky/salt_m2e_15_3_instruction",
        "mekaneeky/SALT-languages-bible",
        "xz56/react-llama",
        "BeIR/hotpotqa",
        "arcee-ai/agent-data"
      ],
      "language": [
        "en",
        "sw",
        "ig",
        "so",
        "es",
        "ca",
        "xh",
        "zu",
        "ha",
        "tw",
        "af",
        "hi",
        "bm",
        "su"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher",
      "tags": [
        "text-generation-inference",
        "transformers",
        "unsloth",
        "mistral",
        "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      static quants of https://huggingface.co/LeroyDyer/SpydazWeb_AI_HumanAI_008_ChatQA  weighted/imatrix quants are available at https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: LeroyDyer/SpydazWeb_AI_HumanAI_008_ChatQA\ndatasets:\n- neoneye/base64-decode-v2\n- neoneye/base64-encode-v1\n- VuongQuoc/Chemistry_text_to_image\n- Kamizuru00/diagram_image_to_text\n- LeroyDyer/Chemistry_text_to_image_BASE64\n- LeroyDyer/AudioCaps-Spectrograms_to_Base64\n- LeroyDyer/winogroud_text_to_imaget_BASE64\n- LeroyDyer/chart_text_to_Base64\n- LeroyDyer/diagram_image_to_text_BASE64\n- mekaneeky/salt_m2e_15_3_instruction\n- mekaneeky/SALT-languages-bible\n- xz56/react-llama\n- BeIR/hotpotqa\n- arcee-ai/agent-data\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: apache-2.0\nquantized_by: mradermacher\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- mistral\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:  -->\nstatic quants of https://huggingface.co/LeroyDyer/SpydazWeb_AI_HumanAI_008_ChatQA\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-i1-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_HumanAI_008_ChatQA-GGUF/resolve/main/SpydazWeb_AI_HumanAI_008_ChatQA.Q2_K.gguf) | Q2_K | 2.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-GGUF/resolve/main/SpydazWeb_AI_HumanAI_008_ChatQA.Q3_K_S.gguf) | Q3_K_S | 3.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-GGUF/resolve/main/SpydazWeb_AI_HumanAI_008_ChatQA.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-GGUF/resolve/main/SpydazWeb_AI_HumanAI_008_ChatQA.Q3_K_L.gguf) | Q3_K_L | 3.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-GGUF/resolve/main/SpydazWeb_AI_HumanAI_008_ChatQA.IQ4_XS.gguf) | IQ4_XS | 4.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-GGUF/resolve/main/SpydazWeb_AI_HumanAI_008_ChatQA.Q4_0_4_4.gguf) | Q4_0_4_4 | 4.2 | fast on arm, low quality |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-GGUF/resolve/main/SpydazWeb_AI_HumanAI_008_ChatQA.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-GGUF/resolve/main/SpydazWeb_AI_HumanAI_008_ChatQA.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-GGUF/resolve/main/SpydazWeb_AI_HumanAI_008_ChatQA.Q5_K_S.gguf) | Q5_K_S | 5.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-GGUF/resolve/main/SpydazWeb_AI_HumanAI_008_ChatQA.Q5_K_M.gguf) | Q5_K_M | 5.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-GGUF/resolve/main/SpydazWeb_AI_HumanAI_008_ChatQA.Q6_K.gguf) | Q6_K | 6.0 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-GGUF/resolve/main/SpydazWeb_AI_HumanAI_008_ChatQA.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/SpydazWeb_AI_HumanAI_008_ChatQA-GGUF/resolve/main/SpydazWeb_AI_HumanAI_008_ChatQA.f16.gguf) | f16 | 14.6 | 16 bpw, overkill |\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.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "text-generation-inference",
    "unsloth",
    "mistral",
    "Mistral_Star",
    "Mistral_Quiet",
    "Mistral",
    "Mixtral",
    "Question-Answer",
    "Token-Classification",
    "Sequence-Classification",
    "SpydazWeb-AI",
    "chemistry",
    "biology",
    "legal",
    "code",
    "climate",
    "medical",
    "LCARS_AI_StarTrek_Computer",
    "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:neoneye/base64-decode-v2",
    "dataset:neoneye/base64-encode-v1",
    "dataset:VuongQuoc/Chemistry_text_to_image",
    "dataset:Kamizuru00/diagram_image_to_text",
    "dataset:LeroyDyer/Chemistry_text_to_image_BASE64",
    "dataset:LeroyDyer/AudioCaps-Spectrograms_to_Base64",
    "dataset:LeroyDyer/winogroud_text_to_imaget_BASE64",
    "dataset:LeroyDyer/chart_text_to_Base64",
    "dataset:LeroyDyer/diagram_image_to_text_BASE64",
    "dataset:mekaneeky/salt_m2e_15_3_instruction",
    "dataset:mekaneeky/SALT-languages-bible",
    "dataset:xz56/react-llama",
    "dataset:BeIR/hotpotqa",
    "dataset:arcee-ai/agent-data",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 85,
  "gated": false,
  "private": false,
  "last_modified": "2024-11-20T02:42:08.000Z",
  "created_at": "2024-11-20T00:57:49.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
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