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mradermacher/francois-pe-v2-huali-12b-i1-gguf Q2_K_S GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

mradermacher/francois-pe-v2-huali-12b-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/Delta-Vector/Francois-PE-V2-Huali-12B For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-GGUF

transformersgguffine-tuningproseKTOaxolotlfinetuneroleplayingcreative-writingendataset:PocketDoc/Dans-Personamaxx-VNdataset:NewEden/LIMARP-Complexitydataset:NewEden/PIPPA-Mega-Filtereddataset:NewEden/OpenCAI-ShareGPTdataset:NewEden/Creative_Writing-Complexitydataset:NewEden/Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removeddataset:PocketDoc/Dans-Failuremaxx-Adventure-3dataset:NewEden/Books-V2-ShareGPTdataset:NewEden/Deepseek-V3-RP-Filtereddataset:NewEden/BlueSky-10K-Complexitydataset:NewEden/Final-Alpindale-LNs-ShareGPTdataset:NewEden/DeepseekRP-Filtereddataset:NewEden/RP-logs-V2-Experimentaldataset:anthracite-org/kalo_opus_misc_240827dataset:anthracite-org/kalo_misc_part2dataset:NewEden/vanilla-backrooms-claude-sharegptdataset:NewEden/Storium-Prefixed-Cleandataset:NewEden/KTO-IF-Dansdataset:NewEden/KTO-Instruct-Mixdataset:NewEden/Opus-accepted-hermes-rejected-shuffled
mradermacher/francois-pe-v2-huali-12b-i1-gguf visual
Downloads
254
Likes
2
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

24 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Francois-PE-V2-Huali-12B.i1-IQ1_M.gguf GGUF IQ1_M 3.00 GB Download
Francois-PE-V2-Huali-12B.i1-IQ1_S.gguf GGUF IQ1_S 2.79 GB Download
Francois-PE-V2-Huali-12B.i1-IQ2_M.gguf GGUF IQ2_M 4.13 GB Download
Francois-PE-V2-Huali-12B.i1-IQ2_S.gguf GGUF IQ2_S 3.85 GB Download
Francois-PE-V2-Huali-12B.i1-IQ2_XS.gguf GGUF IQ2_XS 3.65 GB Download
Francois-PE-V2-Huali-12B.i1-IQ2_XXS.gguf GGUF IQ2_XXS 3.35 GB Download
Francois-PE-V2-Huali-12B.i1-IQ3_M.gguf GGUF IQ3_M 5.33 GB Download
Francois-PE-V2-Huali-12B.i1-IQ3_S.gguf GGUF IQ3_S 5.18 GB Download
Francois-PE-V2-Huali-12B.i1-IQ3_XS.gguf GGUF IQ3_XS 4.94 GB Download
Francois-PE-V2-Huali-12B.i1-IQ3_XXS.gguf GGUF IQ3_XXS 4.61 GB Download
Francois-PE-V2-Huali-12B.i1-IQ4_NL.gguf GGUF IQ4_NL 6.61 GB Download
Francois-PE-V2-Huali-12B.i1-IQ4_XS.gguf GGUF IQ4_XS 6.28 GB Download
Francois-PE-V2-Huali-12B.i1-Q2_K.gguf GGUF Q2_K 4.46 GB Download
Francois-PE-V2-Huali-12B.i1-Q2_K_S.gguf GGUF Q2_K_S 4.19 GB Download
Francois-PE-V2-Huali-12B.i1-Q3_K_L.gguf GGUF Q3_K_L 6.11 GB Download
Francois-PE-V2-Huali-12B.i1-Q3_K_M.gguf GGUF Q3_K_M 5.67 GB Download
Francois-PE-V2-Huali-12B.i1-Q3_K_S.gguf GGUF Q3_K_S 5.15 GB Download
Francois-PE-V2-Huali-12B.i1-Q4_0.gguf GGUF 6.61 GB Download
Francois-PE-V2-Huali-12B.i1-Q4_1.gguf GGUF 7.26 GB Download
Francois-PE-V2-Huali-12B.i1-Q4_K_M.gguf GGUF Q4_K_M 6.96 GB Download
Francois-PE-V2-Huali-12B.i1-Q4_K_S.gguf GGUF Q4_K_S 6.63 GB Download
Francois-PE-V2-Huali-12B.i1-Q5_K_M.gguf GGUF Q5_K_M 8.13 GB Download
Francois-PE-V2-Huali-12B.i1-Q5_K_S.gguf GGUF Q5_K_S 7.93 GB Download
Francois-PE-V2-Huali-12B.i1-Q6_K.gguf GGUF Q6_K 9.37 GB Download

Model Details Live

Model Slug
mradermacher/francois-pe-v2-huali-12b-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-05-05
Last Modified
2025-07-11
Gated
No
Private
No
HF SHA
19ed0016b998e0dc8887d05eb217df59f2482b38
License
Unknown
Language
en
Base Model
Delta-Vector/Francois-PE-V2-Huali-12B

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "Delta-Vector/Francois-PE-V2-Huali-12B",
    "datasets": [
      "PocketDoc/Dans-Personamaxx-VN",
      "NewEden/LIMARP-Complexity",
      "NewEden/PIPPA-Mega-Filtered",
      "NewEden/OpenCAI-ShareGPT",
      "NewEden/Creative_Writing-Complexity",
      "NewEden/Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removed",
      "PocketDoc/Dans-Failuremaxx-Adventure-3",
      "NewEden/Books-V2-ShareGPT",
      "NewEden/Deepseek-V3-RP-Filtered",
      "NewEden/BlueSky-10K-Complexity",
      "NewEden/Final-Alpindale-LNs-ShareGPT",
      "NewEden/DeepseekRP-Filtered",
      "NewEden/RP-logs-V2-Experimental",
      "anthracite-org/kalo_opus_misc_240827",
      "anthracite-org/kalo_misc_part2",
      "NewEden/vanilla-backrooms-claude-sharegpt",
      "NewEden/Storium-Prefixed-Clean",
      "NewEden/KTO-IF-Dans",
      "NewEden/KTO-Instruct-Mix",
      "NewEden/Opus-accepted-hermes-rejected-shuffled"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "fine-tuning",
      "prose",
      "KTO",
      "axolotl",
      "finetune",
      "roleplaying",
      "creative-writing"
    ],
    "frontmatter": {
      "base_model": "Delta-Vector/Francois-PE-V2-Huali-12B",
      "datasets": [
        "PocketDoc/Dans-Personamaxx-VN",
        "NewEden/LIMARP-Complexity",
        "NewEden/PIPPA-Mega-Filtered",
        "NewEden/OpenCAI-ShareGPT",
        "NewEden/Creative_Writing-Complexity",
        "NewEden/Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removed",
        "PocketDoc/Dans-Failuremaxx-Adventure-3",
        "NewEden/Books-V2-ShareGPT",
        "NewEden/Deepseek-V3-RP-Filtered",
        "NewEden/BlueSky-10K-Complexity",
        "NewEden/Final-Alpindale-LNs-ShareGPT",
        "NewEden/DeepseekRP-Filtered",
        "NewEden/RP-logs-V2-Experimental",
        "anthracite-org/kalo_opus_misc_240827",
        "anthracite-org/kalo_misc_part2",
        "NewEden/vanilla-backrooms-claude-sharegpt",
        "NewEden/Storium-Prefixed-Clean",
        "NewEden/KTO-IF-Dans",
        "NewEden/KTO-Instruct-Mix",
        "NewEden/Opus-accepted-hermes-rejected-shuffled"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "fine-tuning",
        "prose",
        "KTO",
        "axolotl",
        "finetune",
        "roleplaying",
        "creative-writing"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/Delta-Vector/Francois-PE-V2-Huali-12B  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Delta-Vector/Francois-PE-V2-Huali-12B\ndatasets:\n- PocketDoc/Dans-Personamaxx-VN\n- NewEden/LIMARP-Complexity\n- NewEden/PIPPA-Mega-Filtered\n- NewEden/OpenCAI-ShareGPT\n- NewEden/Creative_Writing-Complexity\n- NewEden/Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removed\n- PocketDoc/Dans-Failuremaxx-Adventure-3\n- NewEden/Books-V2-ShareGPT\n- NewEden/Deepseek-V3-RP-Filtered\n- NewEden/BlueSky-10K-Complexity\n- NewEden/Final-Alpindale-LNs-ShareGPT\n- NewEden/DeepseekRP-Filtered\n- NewEden/RP-logs-V2-Experimental\n- anthracite-org/kalo_opus_misc_240827\n- anthracite-org/kalo_misc_part2\n- NewEden/vanilla-backrooms-claude-sharegpt\n- NewEden/Storium-Prefixed-Clean\n- NewEden/KTO-IF-Dans\n- NewEden/KTO-Instruct-Mix\n- NewEden/Opus-accepted-hermes-rejected-shuffled\nlanguage:\n- en\nlibrary_name: transformers\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- fine-tuning\n- prose\n- KTO\n- axolotl\n- finetune\n- roleplaying\n- creative-writing\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/Delta-Vector/Francois-PE-V2-Huali-12B\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#Francois-PE-V2-Huali-12B-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-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/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-IQ1_S.gguf) | i1-IQ1_S | 3.1 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-IQ1_M.gguf) | i1-IQ1_M | 3.3 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-IQ2_S.gguf) | i1-IQ2_S | 4.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-IQ2_M.gguf) | i1-IQ2_M | 4.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.6 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-Q2_K.gguf) | i1-Q2_K | 4.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.0 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.6 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-IQ3_S.gguf) | i1-IQ3_S | 5.7 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-IQ3_M.gguf) | i1-IQ3_M | 5.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.2 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 6.7 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 6.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-Q4_0.gguf) | i1-Q4_0 | 7.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 7.2 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.2 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 7.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-Q4_1.gguf) | i1-Q4_1 | 7.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 8.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 8.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Francois-PE-V2-Huali-12B-i1-GGUF/resolve/main/Francois-PE-V2-Huali-12B.i1-Q6_K.gguf) | i1-Q6_K | 10.2 | 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",
    "fine-tuning",
    "prose",
    "KTO",
    "axolotl",
    "finetune",
    "roleplaying",
    "creative-writing",
    "en",
    "dataset:PocketDoc/Dans-Personamaxx-VN",
    "dataset:NewEden/LIMARP-Complexity",
    "dataset:NewEden/PIPPA-Mega-Filtered",
    "dataset:NewEden/OpenCAI-ShareGPT",
    "dataset:NewEden/Creative_Writing-Complexity",
    "dataset:NewEden/Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removed",
    "dataset:PocketDoc/Dans-Failuremaxx-Adventure-3",
    "dataset:NewEden/Books-V2-ShareGPT",
    "dataset:NewEden/Deepseek-V3-RP-Filtered",
    "dataset:NewEden/BlueSky-10K-Complexity",
    "dataset:NewEden/Final-Alpindale-LNs-ShareGPT",
    "dataset:NewEden/DeepseekRP-Filtered",
    "dataset:NewEden/RP-logs-V2-Experimental",
    "dataset:anthracite-org/kalo_opus_misc_240827",
    "dataset:anthracite-org/kalo_misc_part2",
    "dataset:NewEden/vanilla-backrooms-claude-sharegpt",
    "dataset:NewEden/Storium-Prefixed-Clean",
    "dataset:NewEden/KTO-IF-Dans",
    "dataset:NewEden/KTO-Instruct-Mix",
    "dataset:NewEden/Opus-accepted-hermes-rejected-shuffled",
    "base_model:Delta-Vector/Francois-PE-V2-Huali-12B",
    "base_model:quantized:Delta-Vector/Francois-PE-V2-Huali-12B",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 2,
  "downloads": 254,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-11T03:39:18.000Z",
  "created_at": "2025-05-05T04:08:40.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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