mradermacher/hamzahlmv2-1b-i1-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "XeTute/HamzahLMV2-1B",
    "datasets": [
      "XeTute/Eastern-Alpaca-14k",
      "XeTute/Medic-Thoughts-16k",
      "XeTute/iloveuser-1k",
      "vicgalle/alpaca-gpt4",
      "stas/openwebtext-10k",
      "Magpie-Align/Magpie-Reasoning-V2-250K-CoT-QwQ",
      "Magpie-Align/Magpie-Reasoning-V1-150K-CoT-QwQ"
    ],
    "language": [
      "en",
      "zh",
      "pt",
      "it",
      "fr",
      "de",
      "hi",
      "th"
    ],
    "library_name": "transformers",
    "license": "llama3.2",
    "quantized_by": "mradermacher",
    "tags": [
      "rp",
      "roleplay",
      "thinking",
      "thoughts",
      "reasoning",
      "multilingual"
    ],
    "frontmatter": {
      "base_model": "XeTute/HamzahLMV2-1B",
      "datasets": [
        "XeTute/Eastern-Alpaca-14k",
        "XeTute/Medic-Thoughts-16k",
        "XeTute/iloveuser-1k",
        "vicgalle/alpaca-gpt4",
        "stas/openwebtext-10k",
        "Magpie-Align/Magpie-Reasoning-V2-250K-CoT-QwQ",
        "Magpie-Align/Magpie-Reasoning-V1-150K-CoT-QwQ"
      ],
      "language": [
        "en",
        "zh",
        "pt",
        "it",
        "fr",
        "de",
        "hi",
        "th"
      ],
      "library_name": "transformers",
      "license": "llama3.2",
      "quantized_by": "mradermacher",
      "tags": [
        "rp",
        "roleplay",
        "thinking",
        "thoughts",
        "reasoning",
        "multilingual"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/XeTute/HamzahLMV2-1B  static quants are available at https://huggingface.co/mradermacher/HamzahLMV2-1B-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: XeTute/HamzahLMV2-1B\ndatasets:\n- XeTute/Eastern-Alpaca-14k\n- XeTute/Medic-Thoughts-16k\n- XeTute/iloveuser-1k\n- vicgalle/alpaca-gpt4\n- stas/openwebtext-10k\n- Magpie-Align/Magpie-Reasoning-V2-250K-CoT-QwQ\n- Magpie-Align/Magpie-Reasoning-V1-150K-CoT-QwQ\nlanguage:\n- en\n- zh\n- pt\n- it\n- fr\n- de\n- hi\n- th\nlibrary_name: transformers\nlicense: llama3.2\nquantized_by: mradermacher\ntags:\n- rp\n- roleplay\n- thinking\n- thoughts\n- reasoning\n- multilingual\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/XeTute/HamzahLMV2-1B\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/HamzahLMV2-1B-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/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-IQ1_S.gguf) | i1-IQ1_S | 0.6 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.7 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.9 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-IQ3_S.gguf) | i1-IQ3_S | 0.9 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-IQ3_M.gguf) | i1-IQ3_M | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.9 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 0.9 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.0 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-Q4_0.gguf) | i1-Q4_0 | 1.0 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.0 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-Q4_1.gguf) | i1-Q4_1 | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/HamzahLMV2-1B-i1-GGUF/resolve/main/HamzahLMV2-1B.i1-Q6_K.gguf) | i1-Q6_K | 1.3 | 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",
    "rp",
    "roleplay",
    "thinking",
    "thoughts",
    "reasoning",
    "multilingual",
    "en",
    "zh",
    "pt",
    "it",
    "fr",
    "de",
    "hi",
    "th",
    "dataset:XeTute/Eastern-Alpaca-14k",
    "dataset:XeTute/Medic-Thoughts-16k",
    "dataset:XeTute/iloveuser-1k",
    "dataset:vicgalle/alpaca-gpt4",
    "dataset:stas/openwebtext-10k",
    "dataset:Magpie-Align/Magpie-Reasoning-V2-250K-CoT-QwQ",
    "dataset:Magpie-Align/Magpie-Reasoning-V1-150K-CoT-QwQ",
    "license:llama3.2",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 204,
  "gated": false,
  "private": false,
  "last_modified": "2025-03-20T11:00:07.000Z",
  "created_at": "2025-03-20T10:19:27.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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