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mradermacher/triangulum-5b-it-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/prithivMLmods/Triangulum-5B-it static quants are available at https://huggingface.co/mradermacher/Triangulum-5B-it-GGUF

transformersgguftriangulum_5bsftchain_of_thoughtollamatext-generation-inferencellama_for_causal_lmreasoningdeep_thinkCoTLCoTendefritpthiesthbase_model:prithivMLmods/Triangulum-5B-itbase_model:quantized:prithivMLmods/Triangulum-5B-itlicense:creativeml-openrail-mendpoints_compatibleregion:usimatrixconversational
mradermacher/triangulum-5b-it-i1-gguf visual
Downloads
178
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

24 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Triangulum-5B-it.i1-IQ1_M.gguf GGUF IQ1_M 1.44 GB Download
Triangulum-5B-it.i1-IQ1_S.gguf GGUF IQ1_S 1.36 GB Download
Triangulum-5B-it.i1-IQ2_M.gguf GGUF IQ2_M 1.92 GB Download
Triangulum-5B-it.i1-IQ2_S.gguf GGUF IQ2_S 1.81 GB Download
Triangulum-5B-it.i1-IQ2_XS.gguf GGUF IQ2_XS 1.70 GB Download
Triangulum-5B-it.i1-IQ2_XXS.gguf GGUF IQ2_XXS 1.58 GB Download
Triangulum-5B-it.i1-IQ3_M.gguf GGUF IQ3_M 2.43 GB Download
Triangulum-5B-it.i1-IQ3_S.gguf GGUF IQ3_S 2.38 GB Download
Triangulum-5B-it.i1-IQ3_XS.gguf GGUF IQ3_XS 2.28 GB Download
Triangulum-5B-it.i1-IQ3_XXS.gguf GGUF IQ3_XXS 2.11 GB Download
Triangulum-5B-it.i1-IQ4_NL.gguf GGUF IQ4_NL 2.98 GB Download
Triangulum-5B-it.i1-IQ4_XS.gguf GGUF IQ4_XS 2.84 GB Download
Triangulum-5B-it.i1-Q2_K.gguf GGUF Q2_K 2.06 GB Download
Triangulum-5B-it.i1-Q2_K_S.gguf GGUF Q2_K_S 1.95 GB Download
Triangulum-5B-it.i1-Q3_K_L.gguf GGUF Q3_K_L 2.75 GB Download
Triangulum-5B-it.i1-Q3_K_M.gguf GGUF Q3_K_M 2.57 GB Download
Triangulum-5B-it.i1-Q3_K_S.gguf GGUF Q3_K_S 2.37 GB Download
Triangulum-5B-it.i1-Q4_0.gguf GGUF 2.98 GB Download
Triangulum-5B-it.i1-Q4_1.gguf GGUF 3.25 GB Download
Triangulum-5B-it.i1-Q4_K_M.gguf GGUF Q4_K_M 3.12 GB Download
Triangulum-5B-it.i1-Q4_K_S.gguf GGUF Q4_K_S 2.99 GB Download
Triangulum-5B-it.i1-Q5_K_M.gguf GGUF Q5_K_M 3.62 GB Download
Triangulum-5B-it.i1-Q5_K_S.gguf GGUF Q5_K_S 3.54 GB Download
Triangulum-5B-it.i1-Q6_K.gguf GGUF Q6_K 4.14 GB Download

Model Details Live

Model Slug
mradermacher/triangulum-5b-it-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-01-05
Last Modified
2025-01-05
Gated
No
Private
No
HF SHA
2ca2c2dd36eb6854809b2e24cb26ecdc1b16c3cd
License
creativeml-openrail-m
Language
en, de, fr, it, pt, hi, es, th
Base Model
prithivMLmods/Triangulum-5B-it

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "prithivMLmods/Triangulum-5B-it",
    "language": [
      "en",
      "de",
      "fr",
      "it",
      "pt",
      "hi",
      "es",
      "th"
    ],
    "library_name": "transformers",
    "license": "creativeml-openrail-m",
    "quantized_by": "mradermacher",
    "tags": [
      "triangulum_5b",
      "sft",
      "chain_of_thought",
      "ollama",
      "text-generation-inference",
      "llama_for_causal_lm",
      "reasoning",
      "deep_think",
      "CoT",
      "LCoT"
    ],
    "frontmatter": {
      "base_model": "prithivMLmods/Triangulum-5B-it",
      "language": [
        "en",
        "de",
        "fr",
        "it",
        "pt",
        "hi",
        "es",
        "th"
      ],
      "library_name": "transformers",
      "license": "creativeml-openrail-m",
      "quantized_by": "mradermacher",
      "tags": [
        "triangulum_5b",
        "sft",
        "chain_of_thought",
        "ollama",
        "text-generation-inference",
        "llama_for_causal_lm",
        "reasoning",
        "deep_think",
        "CoT",
        "LCoT"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/prithivMLmods/Triangulum-5B-it  static quants are available at https://huggingface.co/mradermacher/Triangulum-5B-it-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: prithivMLmods/Triangulum-5B-it\nlanguage:\n- en\n- de\n- fr\n- it\n- pt\n- hi\n- es\n- th\nlibrary_name: transformers\nlicense: creativeml-openrail-m\nquantized_by: mradermacher\ntags:\n- triangulum_5b\n- sft\n- chain_of_thought\n- ollama\n- text-generation-inference\n- llama_for_causal_lm\n- reasoning\n- deep_think\n- CoT\n- LCoT\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/prithivMLmods/Triangulum-5B-it\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/Triangulum-5B-it-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/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-IQ1_S.gguf) | i1-IQ1_S | 1.6 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-IQ1_M.gguf) | i1-IQ1_M | 1.7 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 1.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-IQ2_XS.gguf) | i1-IQ2_XS | 1.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-IQ2_S.gguf) | i1-IQ2_S | 2.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-IQ2_M.gguf) | i1-IQ2_M | 2.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-Q2_K_S.gguf) | i1-Q2_K_S | 2.2 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-Q2_K.gguf) | i1-Q2_K | 2.3 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-IQ3_XS.gguf) | i1-IQ3_XS | 2.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-Q3_K_S.gguf) | i1-Q3_K_S | 2.6 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-IQ3_S.gguf) | i1-IQ3_S | 2.7 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-IQ3_M.gguf) | i1-IQ3_M | 2.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-Q3_K_M.gguf) | i1-Q3_K_M | 2.9 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.1 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-IQ4_XS.gguf) | i1-IQ4_XS | 3.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-Q4_0.gguf) | i1-Q4_0 | 3.3 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-IQ4_NL.gguf) | i1-IQ4_NL | 3.3 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-Q4_K_S.gguf) | i1-Q4_K_S | 3.3 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-Q4_K_M.gguf) | i1-Q4_K_M | 3.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-Q4_1.gguf) | i1-Q4_1 | 3.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-Q5_K_S.gguf) | i1-Q5_K_S | 3.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-Q5_K_M.gguf) | i1-Q5_K_M | 4.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Triangulum-5B-it-i1-GGUF/resolve/main/Triangulum-5B-it.i1-Q6_K.gguf) | i1-Q6_K | 4.5 | 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",
    "triangulum_5b",
    "sft",
    "chain_of_thought",
    "ollama",
    "text-generation-inference",
    "llama_for_causal_lm",
    "reasoning",
    "deep_think",
    "CoT",
    "LCoT",
    "en",
    "de",
    "fr",
    "it",
    "pt",
    "hi",
    "es",
    "th",
    "base_model:prithivMLmods/Triangulum-5B-it",
    "base_model:quantized:prithivMLmods/Triangulum-5B-it",
    "license:creativeml-openrail-m",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 178,
  "gated": false,
  "private": false,
  "last_modified": "2025-01-05T12:11:52.000Z",
  "created_at": "2025-01-05T06:31:52.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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