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mradermacher/llamacorn-1.1b-chat-gguf overview

About static quants of https://huggingface.co/jan-hq/LlamaCorn-1.1B-Chat For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-i1-GGUF

transformersggufalignment-handbookgenerated_from_trainertrlsftendataset:jan-hq/bagel_sft_binarizeddataset:jan-hq/dolphin_binarizeddataset:jan-hq/openhermes_binarizeddataset:jan-hq/bagel_dpo_binarizedbase_model:jan-hq/LlamaCorn-1.1B-Chatbase_model:quantized:jan-hq/LlamaCorn-1.1B-Chatlicense:apache-2.0endpoints_compatibleregion:usconversational
mradermacher/llamacorn-1.1b-chat-gguf visual
Downloads
94
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

12 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
LlamaCorn-1.1B-Chat.IQ4_XS.gguf GGUF IQ4_XS 581.56 MB Download
LlamaCorn-1.1B-Chat.Q2_K.gguf GGUF Q2_K 412.11 MB Download
LlamaCorn-1.1B-Chat.Q3_K_L.gguf GGUF Q3_K_L 564.13 MB Download
LlamaCorn-1.1B-Chat.Q3_K_M.gguf GGUF Q3_K_M 523.00 MB Download
LlamaCorn-1.1B-Chat.Q3_K_S.gguf GGUF Q3_K_S 476.21 MB Download
LlamaCorn-1.1B-Chat.Q4_K_M.gguf GGUF Q4_K_M 636.88 MB Download
LlamaCorn-1.1B-Chat.Q4_K_S.gguf GGUF Q4_K_S 610.23 MB Download
LlamaCorn-1.1B-Chat.Q5_K_M.gguf GGUF Q5_K_M 745.82 MB Download
LlamaCorn-1.1B-Chat.Q5_K_S.gguf GGUF Q5_K_S 730.54 MB Download
LlamaCorn-1.1B-Chat.Q6_K.gguf GGUF Q6_K 861.56 MB Download
LlamaCorn-1.1B-Chat.Q8_0.gguf GGUF 1.09 GB Download
LlamaCorn-1.1B-Chat.f16.gguf GGUF F16 2.05 GB Download

Model Details Live

Model Slug
mradermacher/llamacorn-1.1b-chat-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-12-21
Last Modified
2025-08-01
Gated
No
Private
No
HF SHA
24018cc7090208def03ab21513f8247d75bdc75d
License
apache-2.0
Language
en
Base Model
jan-hq/LlamaCorn-1.1B-Chat

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "jan-hq/LlamaCorn-1.1B-Chat",
    "datasets": [
      "jan-hq/bagel_sft_binarized",
      "jan-hq/dolphin_binarized",
      "jan-hq/openhermes_binarized",
      "jan-hq/bagel_dpo_binarized"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "alignment-handbook",
      "generated_from_trainer",
      "trl",
      "sft",
      "generated_from_trainer"
    ],
    "frontmatter": {
      "base_model": "jan-hq/LlamaCorn-1.1B-Chat",
      "datasets": [
        "jan-hq/bagel_sft_binarized",
        "jan-hq/dolphin_binarized",
        "jan-hq/openhermes_binarized",
        "jan-hq/bagel_dpo_binarized"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "alignment-handbook",
        "generated_from_trainer",
        "trl",
        "sft",
        "generated_from_trainer"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/jan-hq/LlamaCorn-1.1B-Chat  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: jan-hq/LlamaCorn-1.1B-Chat\ndatasets:\n- jan-hq/bagel_sft_binarized\n- jan-hq/dolphin_binarized\n- jan-hq/openhermes_binarized\n- jan-hq/bagel_dpo_binarized\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- alignment-handbook\n- generated_from_trainer\n- trl\n- sft\n- generated_from_trainer\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/jan-hq/LlamaCorn-1.1B-Chat\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#LlamaCorn-1.1B-Chat-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-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/LlamaCorn-1.1B-Chat-GGUF/resolve/main/LlamaCorn-1.1B-Chat.Q2_K.gguf) | Q2_K | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-GGUF/resolve/main/LlamaCorn-1.1B-Chat.Q3_K_S.gguf) | Q3_K_S | 0.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-GGUF/resolve/main/LlamaCorn-1.1B-Chat.Q3_K_M.gguf) | Q3_K_M | 0.6 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-GGUF/resolve/main/LlamaCorn-1.1B-Chat.Q3_K_L.gguf) | Q3_K_L | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-GGUF/resolve/main/LlamaCorn-1.1B-Chat.IQ4_XS.gguf) | IQ4_XS | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-GGUF/resolve/main/LlamaCorn-1.1B-Chat.Q4_K_S.gguf) | Q4_K_S | 0.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-GGUF/resolve/main/LlamaCorn-1.1B-Chat.Q4_K_M.gguf) | Q4_K_M | 0.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-GGUF/resolve/main/LlamaCorn-1.1B-Chat.Q5_K_S.gguf) | Q5_K_S | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-GGUF/resolve/main/LlamaCorn-1.1B-Chat.Q5_K_M.gguf) | Q5_K_M | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-GGUF/resolve/main/LlamaCorn-1.1B-Chat.Q6_K.gguf) | Q6_K | 1.0 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-GGUF/resolve/main/LlamaCorn-1.1B-Chat.Q8_0.gguf) | Q8_0 | 1.3 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/LlamaCorn-1.1B-Chat-GGUF/resolve/main/LlamaCorn-1.1B-Chat.f16.gguf) | f16 | 2.3 | 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",
    "alignment-handbook",
    "generated_from_trainer",
    "trl",
    "sft",
    "en",
    "dataset:jan-hq/bagel_sft_binarized",
    "dataset:jan-hq/dolphin_binarized",
    "dataset:jan-hq/openhermes_binarized",
    "dataset:jan-hq/bagel_dpo_binarized",
    "base_model:jan-hq/LlamaCorn-1.1B-Chat",
    "base_model:quantized:jan-hq/LlamaCorn-1.1B-Chat",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 94,
  "gated": false,
  "private": false,
  "last_modified": "2025-08-01T00:09:49.000Z",
  "created_at": "2024-12-21T09:27:25.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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  "id": "mradermacher/LlamaCorn-1.1B-Chat-GGUF",
  "modelId": "mradermacher/LlamaCorn-1.1B-Chat-GGUF",
  "sha": "24018cc7090208def03ab21513f8247d75bdc75d",
  "createdAt": "2024-12-21T09:27:25.000Z",
  "lastModified": "2025-08-01T00:09:49.000Z",
  "author": "mradermacher",
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