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richarderkhov/moemoekkung_-_frankenstein-moe-en-10.7bx6-gguf overview

Method To initialize the gate projection weight of the MoE layer, the H6 trainset was sampled and used. We sampled 400 and selected the final 30 with low PPL. trufulqa used gpt4 to generate data. ### Evals in progress

ggufendpoints_compatibleregion:usconversational
richarderkhov/moemoekkung_-_frankenstein-moe-en-10.7bx6-gguf visual
Downloads
116
Likes
0
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

24 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Frankenstein-MoE-en-10.7Bx6.IQ3_M.gguf GGUF IQ3_M 21.65 GB Download
Frankenstein-MoE-en-10.7Bx6.IQ3_S.gguf GGUF IQ3_S 21.29 GB Download
Frankenstein-MoE-en-10.7Bx6.IQ3_XS.gguf GGUF IQ3_XS 20.14 GB Download
Frankenstein-MoE-en-10.7Bx6.IQ4_NL.gguf GGUF IQ4_NL 28.08 GB Download
Frankenstein-MoE-en-10.7Bx6.IQ4_XS.gguf GGUF IQ4_XS 26.61 GB Download
Frankenstein-MoE-en-10.7Bx6.Q2_K.gguf GGUF Q2_K 17.99 GB Download
Frankenstein-MoE-en-10.7Bx6.Q3_K.gguf GGUF Q3_K 23.61 GB Download
Frankenstein-MoE-en-10.7Bx6.Q3_K_L.gguf GGUF Q3_K_L 25.57 GB Download
Frankenstein-MoE-en-10.7Bx6.Q3_K_M.gguf GGUF Q3_K_M 23.61 GB Download
Frankenstein-MoE-en-10.7Bx6.Q3_K_S.gguf GGUF Q3_K_S 21.27 GB Download
Frankenstein-MoE-en-10.7Bx6.Q4_0.gguf GGUF 27.81 GB Download
Frankenstein-MoE-en-10.7Bx6.Q4_1.gguf GGUF 30.89 GB Download
Frankenstein-MoE-en-10.7Bx6.Q4_K.gguf GGUF Q4_K 29.86 GB Download
Frankenstein-MoE-en-10.7Bx6.Q4_K_M.gguf GGUF Q4_K_M 29.86 GB Download
Frankenstein-MoE-en-10.7Bx6.Q4_K_S.gguf GGUF Q4_K_S 28.06 GB Download
Frankenstein-MoE-en-10.7Bx6.Q5_0.gguf GGUF 33.96 GB Download
Frankenstein-MoE-en-10.7Bx6.Q5_1.gguf GGUF 37.04 GB Download
Frankenstein-MoE-en-10.7Bx6.Q5_K.gguf GGUF Q5_K 35.02 GB Download
Frankenstein-MoE-en-10.7Bx6.Q5_K_M.gguf GGUF Q5_K_M 35.02 GB Download
Frankenstein-MoE-en-10.7Bx6.Q5_K_S.gguf GGUF Q5_K_S 33.96 GB Download
Frankenstein-MoE-en-10.7Bx6_Q6_K-00001-of-00002.gguf GGUF Q6_K 36.99 GB Download
Frankenstein-MoE-en-10.7Bx6_Q6_K-00002-of-00002.gguf GGUF Q6_K 3.52 GB Download
Frankenstein-MoE-en-10.7Bx6_Q8_0-00001-of-00002.gguf GGUF 37.22 GB Download
Frankenstein-MoE-en-10.7Bx6_Q8_0-00002-of-00002.gguf GGUF 15.25 GB Download

Model Details Live

Model Slug
richarderkhov/moemoekkung_-_frankenstein-moe-en-10.7bx6-gguf
Author
RichardErkhov
Pipeline Task
Library
Created
2024-07-27
Last Modified
2024-07-28
Gated
No
Private
No
HF SHA
c70e16bdb51dcb4957777855091715e2dbeb8fbb
License
Unknown
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
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    "frontmatter": {},
    "hero_image_url": "",
    "summary": "### Method To initialize the gate projection weight of the MoE layer, the H6 trainset was sampled and used. We sampled 400 and selected the final 30 with low PPL. trufulqa used gpt4 to generate data. ### Evals in progress",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nFrankenstein-MoE-en-10.7Bx6 - GGUF\n- Model creator: https://huggingface.co/MoEMoEKKung/\n- Original model: https://huggingface.co/MoEMoEKKung/Frankenstein-MoE-en-10.7Bx6/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Frankenstein-MoE-en-10.7Bx6.Q2_K.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q2_K.gguf) | Q2_K | 17.99GB |\n| [Frankenstein-MoE-en-10.7Bx6.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.IQ3_XS.gguf) | IQ3_XS | 20.14GB |\n| [Frankenstein-MoE-en-10.7Bx6.IQ3_S.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.IQ3_S.gguf) | IQ3_S | 21.29GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q3_K_S.gguf) | Q3_K_S | 21.27GB |\n| [Frankenstein-MoE-en-10.7Bx6.IQ3_M.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.IQ3_M.gguf) | IQ3_M | 21.65GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q3_K.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q3_K.gguf) | Q3_K | 23.61GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q3_K_M.gguf) | Q3_K_M | 23.61GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q3_K_L.gguf) | Q3_K_L | 25.57GB |\n| [Frankenstein-MoE-en-10.7Bx6.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.IQ4_XS.gguf) | IQ4_XS | 26.61GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q4_0.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q4_0.gguf) | Q4_0 | 27.81GB |\n| [Frankenstein-MoE-en-10.7Bx6.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.IQ4_NL.gguf) | IQ4_NL | 28.08GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q4_K_S.gguf) | Q4_K_S | 28.06GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q4_K.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q4_K.gguf) | Q4_K | 29.86GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q4_K_M.gguf) | Q4_K_M | 29.86GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q4_1.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q4_1.gguf) | Q4_1 | 30.89GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q5_0.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q5_0.gguf) | Q5_0 | 33.96GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q5_K_S.gguf) | Q5_K_S | 33.96GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q5_K.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q5_K.gguf) | Q5_K | 35.02GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q5_K_M.gguf) | Q5_K_M | 35.02GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q5_1.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/blob/main/Frankenstein-MoE-en-10.7Bx6.Q5_1.gguf) | Q5_1 | 37.04GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q6_K.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/tree/main/) | Q6_K | 40.5GB |\n| [Frankenstein-MoE-en-10.7Bx6.Q8_0.gguf](https://huggingface.co/RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf/tree/main/) | Q8_0 | 52.46GB |\n\n\n\n\nOriginal model description:\n---\nlanguage:\n- en\nlicense: cc-by-nc-sa-4.0\n---\n\n# Frankenstein-MoE\n\n### Method\nTo initialize the gate projection weight of the MoE layer, the H6 trainset was sampled and used. We sampled 400 and selected the final 30 with low PPL.  \n\ntrufulqa used gpt4 to generate data.\n\n### Evals\nin progress\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 116,
  "gated": false,
  "private": false,
  "last_modified": "2024-07-28T18:21:00.000Z",
  "created_at": "2024-07-27T13:33:01.000Z",
  "pipeline_tag": "",
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}
Source payload excerpt (from Hugging Face API)
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  "id": "RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf",
  "modelId": "RichardErkhov/MoEMoEKKung_-_Frankenstein-MoE-en-10.7Bx6-gguf",
  "sha": "c70e16bdb51dcb4957777855091715e2dbeb8fbb",
  "createdAt": "2024-07-27T13:33:01.000Z",
  "lastModified": "2024-07-28T18:21:00.000Z",
  "author": "RichardErkhov",
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  "siblings_count": 26
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