mradermacher/bloom-1b1-gguf overview

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    "library_name": "transformers",
    "license": "bigscience-bloom-rail-1.0",
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "bigscience/bloom-1b1",
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    "summary": "## About      static quants of https://huggingface.co/bigscience/bloom-1b1  weighted/imatrix quants are available at https://huggingface.co/mradermacher/bloom-1b1-i1-GGUF",
    "quick_links": [],
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    "readme_markdown": "---\nbase_model: bigscience/bloom-1b1\nlanguage:\n- ak\n- ar\n- as\n- bm\n- bn\n- ca\n- code\n- en\n- es\n- eu\n- fon\n- fr\n- gu\n- hi\n- id\n- ig\n- ki\n- kn\n- lg\n- ln\n- ml\n- mr\n- ne\n- nso\n- ny\n- or\n- pa\n- pt\n- rn\n- rw\n- sn\n- st\n- sw\n- ta\n- te\n- tn\n- ts\n- tum\n- tw\n- ur\n- vi\n- wo\n- xh\n- yo\n- zh\n- zhs\n- zht\n- zu\nlibrary_name: transformers\nlicense: bigscience-bloom-rail-1.0\nquantized_by: mradermacher\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/bigscience/bloom-1b1\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/bloom-1b1-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/bloom-1b1-GGUF/resolve/main/bloom-1b1.Q2_K.gguf) | Q2_K | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/bloom-1b1-GGUF/resolve/main/bloom-1b1.Q3_K_S.gguf) | Q3_K_S | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/bloom-1b1-GGUF/resolve/main/bloom-1b1.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/bloom-1b1-GGUF/resolve/main/bloom-1b1.Q3_K_L.gguf) | Q3_K_L | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/bloom-1b1-GGUF/resolve/main/bloom-1b1.IQ4_XS.gguf) | IQ4_XS | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/bloom-1b1-GGUF/resolve/main/bloom-1b1.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/bloom-1b1-GGUF/resolve/main/bloom-1b1.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/bloom-1b1-GGUF/resolve/main/bloom-1b1.Q5_K_S.gguf) | Q5_K_S | 1.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/bloom-1b1-GGUF/resolve/main/bloom-1b1.Q5_K_M.gguf) | Q5_K_M | 1.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/bloom-1b1-GGUF/resolve/main/bloom-1b1.Q6_K.gguf) | Q6_K | 1.3 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/bloom-1b1-GGUF/resolve/main/bloom-1b1.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/bloom-1b1-GGUF/resolve/main/bloom-1b1.f16.gguf) | f16 | 3.0 | 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",
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  "last_modified": "2025-02-25T07:49:14.000Z",
  "created_at": "2025-02-25T07:01:51.000Z",
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