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Model Intelligence Sheet

duyntnet/stanta-lelemon-maid-7b-imatrix-gguf overview

!image/png # Vision/multimodal capabilities: If you want to use vision functionality: You must use the latest versions of Koboldcpp. To use the multimodal capabilities of this model and use vision you need to load the specified mmproj file, this can be found inside this model repo. You can load the mmproj by using the corresponding section in the interface: !image/png # Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |---------------------------------|----:| |Avg. |69.79| |AI2 Reasoning Challenge (25-Shot)|67.58| |HellaSwag (10-Shot) |86.03| |MMLU (5-Shot) |64.79| |TruthfulQA (0-shot) |59.58| |Winogrande (5-shot) |79.64| |GSM8k (5-shot) |61.11|

transformersggufimatrixStanta-Lelemon-Maid-7Btext-generationenlicense:otherregion:us
duyntnet/stanta-lelemon-maid-7b-imatrix-gguf visual
Downloads
618
Likes
0
Pipeline
text-generation
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

27 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Stanta-Lelemon-Maid-7B-IQ1_M.gguf GGUF IQ1_M 1.63 GB Download
Stanta-Lelemon-Maid-7B-IQ1_S.gguf GGUF IQ1_S 1.50 GB Download
Stanta-Lelemon-Maid-7B-IQ2_M.gguf GGUF IQ2_M 2.33 GB Download
Stanta-Lelemon-Maid-7B-IQ2_S.gguf GGUF IQ2_S 2.15 GB Download
Stanta-Lelemon-Maid-7B-IQ2_XS.gguf GGUF IQ2_XS 2.05 GB Download
Stanta-Lelemon-Maid-7B-IQ2_XXS.gguf GGUF IQ2_XXS 1.85 GB Download
Stanta-Lelemon-Maid-7B-IQ3_M.gguf GGUF IQ3_M 3.06 GB Download
Stanta-Lelemon-Maid-7B-IQ3_S.gguf GGUF IQ3_S 2.96 GB Download
Stanta-Lelemon-Maid-7B-IQ3_XS.gguf GGUF IQ3_XS 2.81 GB Download
Stanta-Lelemon-Maid-7B-IQ3_XXS.gguf GGUF IQ3_XXS 2.63 GB Download
Stanta-Lelemon-Maid-7B-IQ4_NL.gguf GGUF IQ4_NL 3.84 GB Download
Stanta-Lelemon-Maid-7B-IQ4_XS.gguf GGUF IQ4_XS 3.64 GB Download
Stanta-Lelemon-Maid-7B-Q2_K.gguf GGUF Q2_K 2.53 GB Download
Stanta-Lelemon-Maid-7B-Q2_K_S.gguf GGUF Q2_K_S 2.36 GB Download
Stanta-Lelemon-Maid-7B-Q3_K_L.gguf GGUF Q3_K_L 3.56 GB Download
Stanta-Lelemon-Maid-7B-Q3_K_M.gguf GGUF Q3_K_M 3.28 GB Download
Stanta-Lelemon-Maid-7B-Q3_K_S.gguf GGUF Q3_K_S 2.95 GB Download
Stanta-Lelemon-Maid-7B-Q4_0.gguf GGUF 3.84 GB Download
Stanta-Lelemon-Maid-7B-Q4_1.gguf GGUF 4.24 GB Download
Stanta-Lelemon-Maid-7B-Q4_K_M.gguf GGUF Q4_K_M 4.07 GB Download
Stanta-Lelemon-Maid-7B-Q4_K_S.gguf GGUF Q4_K_S 3.86 GB Download
Stanta-Lelemon-Maid-7B-Q5_0.gguf GGUF 4.67 GB Download
Stanta-Lelemon-Maid-7B-Q5_1.gguf GGUF 5.07 GB Download
Stanta-Lelemon-Maid-7B-Q5_K_M.gguf GGUF Q5_K_M 4.78 GB Download
Stanta-Lelemon-Maid-7B-Q5_K_S.gguf GGUF Q5_K_S 4.65 GB Download
Stanta-Lelemon-Maid-7B-Q6_K.gguf GGUF Q6_K 5.53 GB Download
Stanta-Lelemon-Maid-7B-Q8_0.gguf GGUF 7.17 GB Download

Model Details Live

Model Slug
duyntnet/stanta-lelemon-maid-7b-imatrix-gguf
Author
duyntnet
Pipeline Task
text-generation
Library
transformers
Created
2025-06-20
Last Modified
2025-06-20
Gated
No
Private
No
HF SHA
f9cd193808459592f4c38b073fcfc43e2d3f05d5
License
other
Language
en
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
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    "pipeline_tag": "text-generation",
    "inference": false,
    "tags": [
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    "frontmatter": {
      "license": "other",
      "language": [
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      "pipeline_tag": "text-generation",
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      "tags": [
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    "summary": "!image/png # Vision/multimodal capabilities: If you want to use vision functionality: * You must use the latest versions of Koboldcpp. To use the multimodal capabilities of this model and use **vision** you need to load the specified **mmproj** file, this can be found inside this model repo. * You can load the **mmproj** by using the corresponding section in the interface: !image/png # Open LLM Leaderboard Evaluation Results Detailed results can be found here |             Metric              |Value| |---------------------------------|----:| |Avg.                             |69.79| |AI2 Reasoning Challenge (25-Shot)|67.58| |HellaSwag (10-Shot)              |86.03| |MMLU (5-Shot)                    |64.79| |TruthfulQA (0-shot)              |59.58| |Winogrande (5-shot)              |79.64| |GSM8k (5-shot)                   |61.11|",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: other\nlanguage:\n- en\npipeline_tag: text-generation\ninference: false\ntags:\n- transformers\n- gguf\n- imatrix\n- Stanta-Lelemon-Maid-7B\n---\n\nQuantizations of https://huggingface.co/ChaoticNeutrals/Stanta-Lelemon-Maid-7B\n\n\n### Open source inference clients/UIs\n* [llama.cpp](https://github.com/ggerganov/llama.cpp)\n* [KoboldCPP](https://github.com/LostRuins/koboldcpp)\n* [text-generation-webui](https://github.com/oobabooga/text-generation-webui)\n* [jan](https://github.com/janhq/jan)\n\n### Closed source inference clients/UIs\n* [LM Studio](https://lmstudio.ai/)\n* [Backyard AI](https://backyard.ai/)\n* More will be added...\n---\n\n# From original readme\n\n![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/pQ5xEj4JOyNF_dvBkuIa6.png)\n\n# Vision/multimodal capabilities:\n\n If you want to use vision functionality:\n\n * You must use the latest versions of [Koboldcpp](https://github.com/LostRuins/koboldcpp).\n \nTo use the multimodal capabilities of this model and use **vision** you need to load the specified **mmproj** file, this can be found inside this model repo.\n \n * You can load the **mmproj** by using the corresponding section in the interface:\n\n ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/UX6Ubss2EPNAT3SKGMLe0.png)\n# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)\nDetailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Nitral-AI__Stanta-Lelemon-Maid-7B)\n\n|             Metric              |Value|\n|---------------------------------|----:|\n|Avg.                             |69.79|\n|AI2 Reasoning Challenge (25-Shot)|67.58|\n|HellaSwag (10-Shot)              |86.03|\n|MMLU (5-Shot)                    |64.79|\n|TruthfulQA (0-shot)              |59.58|\n|Winogrande (5-shot)              |79.64|\n|GSM8k (5-shot)                   |61.11|",
    "related_quantizations": []
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  "last_modified": "2025-06-20T13:05:34.000Z",
  "created_at": "2025-06-20T12:05:15.000Z",
  "pipeline_tag": "text-generation",
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Source payload excerpt (from Hugging Face API)
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