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richarderkhov/edwixx_-_gemma-2b-mt-g2e-gguf overview

Quantization made by Richard Erkhov. Github Discord Request more models gemma-2b-mt-G2E - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | gemma-2b-mt-G2E.Q2K.gguf | Q2K | 1.08GB | | gemma-2b-mt-G2E.IQ3XS.gguf | IQ3XS | 1.16GB | | gemma-2b-mt-G2E.IQ3S.gguf | IQ3S | 1.2GB | | gemma-2b-mt-G2E.Q3KS.gguf | Q3KS | 1.2GB | | gemma-2b-mt-G2E.IQ3M.gguf | IQ3M | 1.22GB | | gemma-2b-mt-G2E.Q3K.gguf | Q3K | 1.29GB | | gemma-2b-mt-G2E.Q3KM.gguf | Q3KM | 1.29GB | | gemma-2b-mt-G2E.Q3KL.gguf | Q3KL | 1.36GB | | gemma-2b-mt-G2E.IQ4XS.gguf | IQ4XS | 1.4GB | | gemma-2b-mt-G2E.Q40.gguf | Q40 | 1.44GB | | gemma-2b-mt-G2E.IQ4NL.gguf | IQ4NL | 1.45GB | | gemma-2b-mt-G2E.Q4KS.gguf | Q4KS | 1.45GB | | gemma-2b-mt-G2E.Q4K.gguf | Q4K | 1.52GB | | gemma-2b-mt-G2E.Q4KM.gguf | Q4KM | 1.52GB | | gemma-2b-mt-G2E.Q41.gguf | Q41 | 1.56GB | | gemma-2b-mt-G2E.Q50.gguf | Q50 | 1.68GB | | gemma-2b-mt-G2E.Q5KS.gguf | Q5KS | 1.68GB | | gemma-2b-mt-G2E.Q5K.gguf | Q5K | 1.71GB | | gemma-2b-mt-G2E.Q5KM.gguf | Q5KM | 1.71GB | | gemma-2b-mt-G2E.Q51.gguf | Q51 | 1.79GB | | gemma-2b-mt-G2E.Q6K.gguf | Q6K | 1.92GB | | gemma-2b-mt-G2E.Q80.gguf | Q80 | 2.49GB | Original model description: --- license: mit language: base_model: tags: ---

ggufendpoints_compatibleregion:usconversational
richarderkhov/edwixx_-_gemma-2b-mt-g2e-gguf visual
Downloads
89
Likes
0
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

22 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
gemma-2b-mt-G2E.IQ3_M.gguf GGUF IQ3_M 1.22 GB Download
gemma-2b-mt-G2E.IQ3_S.gguf GGUF IQ3_S 1.20 GB Download
gemma-2b-mt-G2E.IQ3_XS.gguf GGUF IQ3_XS 1.16 GB Download
gemma-2b-mt-G2E.IQ4_NL.gguf GGUF IQ4_NL 1.45 GB Download
gemma-2b-mt-G2E.IQ4_XS.gguf GGUF IQ4_XS 1.40 GB Download
gemma-2b-mt-G2E.Q2_K.gguf GGUF Q2_K 1.08 GB Download
gemma-2b-mt-G2E.Q3_K.gguf GGUF Q3_K 1.29 GB Download
gemma-2b-mt-G2E.Q3_K_L.gguf GGUF Q3_K_L 1.36 GB Download
gemma-2b-mt-G2E.Q3_K_M.gguf GGUF Q3_K_M 1.29 GB Download
gemma-2b-mt-G2E.Q3_K_S.gguf GGUF Q3_K_S 1.20 GB Download
gemma-2b-mt-G2E.Q4_0.gguf GGUF 1.44 GB Download
gemma-2b-mt-G2E.Q4_1.gguf GGUF 1.56 GB Download
gemma-2b-mt-G2E.Q4_K.gguf GGUF Q4_K 1.52 GB Download
gemma-2b-mt-G2E.Q4_K_M.gguf GGUF Q4_K_M 1.52 GB Download
gemma-2b-mt-G2E.Q4_K_S.gguf GGUF Q4_K_S 1.45 GB Download
gemma-2b-mt-G2E.Q5_0.gguf GGUF 1.68 GB Download
gemma-2b-mt-G2E.Q5_1.gguf GGUF 1.79 GB Download
gemma-2b-mt-G2E.Q5_K.gguf GGUF Q5_K 1.71 GB Download
gemma-2b-mt-G2E.Q5_K_M.gguf GGUF Q5_K_M 1.71 GB Download
gemma-2b-mt-G2E.Q5_K_S.gguf GGUF Q5_K_S 1.68 GB Download
gemma-2b-mt-G2E.Q6_K.gguf GGUF Q6_K 1.92 GB Download
gemma-2b-mt-G2E.Q8_0.gguf GGUF 2.49 GB Download

Model Details Live

Model Slug
richarderkhov/edwixx_-_gemma-2b-mt-g2e-gguf
Author
RichardErkhov
Pipeline Task
Library
Created
2025-03-21
Last Modified
2025-03-21
Gated
No
Private
No
HF SHA
a06a809df050f88f677161bd426e9b1144b40139
License
Unknown
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "frontmatter": {},
    "hero_image_url": "",
    "summary": "Quantization made by Richard Erkhov. Github Discord Request more models gemma-2b-mt-G2E - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | gemma-2b-mt-G2E.Q2_K.gguf | Q2_K | 1.08GB | | gemma-2b-mt-G2E.IQ3_XS.gguf | IQ3_XS | 1.16GB | | gemma-2b-mt-G2E.IQ3_S.gguf | IQ3_S | 1.2GB | | gemma-2b-mt-G2E.Q3_K_S.gguf | Q3_K_S | 1.2GB | | gemma-2b-mt-G2E.IQ3_M.gguf | IQ3_M | 1.22GB | | gemma-2b-mt-G2E.Q3_K.gguf | Q3_K | 1.29GB | | gemma-2b-mt-G2E.Q3_K_M.gguf | Q3_K_M | 1.29GB | | gemma-2b-mt-G2E.Q3_K_L.gguf | Q3_K_L | 1.36GB | | gemma-2b-mt-G2E.IQ4_XS.gguf | IQ4_XS | 1.4GB | | gemma-2b-mt-G2E.Q4_0.gguf | Q4_0 | 1.44GB | | gemma-2b-mt-G2E.IQ4_NL.gguf | IQ4_NL | 1.45GB | | gemma-2b-mt-G2E.Q4_K_S.gguf | Q4_K_S | 1.45GB | | gemma-2b-mt-G2E.Q4_K.gguf | Q4_K | 1.52GB | | gemma-2b-mt-G2E.Q4_K_M.gguf | Q4_K_M | 1.52GB | | gemma-2b-mt-G2E.Q4_1.gguf | Q4_1 | 1.56GB | | gemma-2b-mt-G2E.Q5_0.gguf | Q5_0 | 1.68GB | | gemma-2b-mt-G2E.Q5_K_S.gguf | Q5_K_S | 1.68GB | | gemma-2b-mt-G2E.Q5_K.gguf | Q5_K | 1.71GB | | gemma-2b-mt-G2E.Q5_K_M.gguf | Q5_K_M | 1.71GB | | gemma-2b-mt-G2E.Q5_1.gguf | Q5_1 | 1.79GB | | gemma-2b-mt-G2E.Q6_K.gguf | Q6_K | 1.92GB | | gemma-2b-mt-G2E.Q8_0.gguf | Q8_0 | 2.49GB | Original model description: --- license: mit language: base_model: tags: ---",
    "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\ngemma-2b-mt-G2E - GGUF\n- Model creator: https://huggingface.co/edwixx/\n- Original model: https://huggingface.co/edwixx/gemma-2b-mt-G2E/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [gemma-2b-mt-G2E.Q2_K.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q2_K.gguf) | Q2_K | 1.08GB |\n| [gemma-2b-mt-G2E.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.IQ3_XS.gguf) | IQ3_XS | 1.16GB |\n| [gemma-2b-mt-G2E.IQ3_S.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.IQ3_S.gguf) | IQ3_S | 1.2GB |\n| [gemma-2b-mt-G2E.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q3_K_S.gguf) | Q3_K_S | 1.2GB |\n| [gemma-2b-mt-G2E.IQ3_M.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.IQ3_M.gguf) | IQ3_M | 1.22GB |\n| [gemma-2b-mt-G2E.Q3_K.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q3_K.gguf) | Q3_K | 1.29GB |\n| [gemma-2b-mt-G2E.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q3_K_M.gguf) | Q3_K_M | 1.29GB |\n| [gemma-2b-mt-G2E.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q3_K_L.gguf) | Q3_K_L | 1.36GB |\n| [gemma-2b-mt-G2E.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.IQ4_XS.gguf) | IQ4_XS | 1.4GB |\n| [gemma-2b-mt-G2E.Q4_0.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q4_0.gguf) | Q4_0 | 1.44GB |\n| [gemma-2b-mt-G2E.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.IQ4_NL.gguf) | IQ4_NL | 1.45GB |\n| [gemma-2b-mt-G2E.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q4_K_S.gguf) | Q4_K_S | 1.45GB |\n| [gemma-2b-mt-G2E.Q4_K.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q4_K.gguf) | Q4_K | 1.52GB |\n| [gemma-2b-mt-G2E.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q4_K_M.gguf) | Q4_K_M | 1.52GB |\n| [gemma-2b-mt-G2E.Q4_1.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q4_1.gguf) | Q4_1 | 1.56GB |\n| [gemma-2b-mt-G2E.Q5_0.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q5_0.gguf) | Q5_0 | 1.68GB |\n| [gemma-2b-mt-G2E.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q5_K_S.gguf) | Q5_K_S | 1.68GB |\n| [gemma-2b-mt-G2E.Q5_K.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q5_K.gguf) | Q5_K | 1.71GB |\n| [gemma-2b-mt-G2E.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q5_K_M.gguf) | Q5_K_M | 1.71GB |\n| [gemma-2b-mt-G2E.Q5_1.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q5_1.gguf) | Q5_1 | 1.79GB |\n| [gemma-2b-mt-G2E.Q6_K.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q6_K.gguf) | Q6_K | 1.92GB |\n| [gemma-2b-mt-G2E.Q8_0.gguf](https://huggingface.co/RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf/blob/main/gemma-2b-mt-G2E.Q8_0.gguf) | Q8_0 | 2.49GB |\n\n\n\n\nOriginal model description:\n---\nlicense: mit\nlanguage:\n- de\nbase_model:\n- google/gemma-2b\ntags:\n- text-generation-inference\n---\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 89,
  "gated": false,
  "private": false,
  "last_modified": "2025-03-21T22:01:15.000Z",
  "created_at": "2025-03-21T21:15:01.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
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  "id": "RichardErkhov/edwixx_-_gemma-2b-mt-G2E-gguf",
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  "sha": "a06a809df050f88f677161bd426e9b1144b40139",
  "createdAt": "2025-03-21T21:15:01.000Z",
  "lastModified": "2025-03-21T22:01:15.000Z",
  "author": "RichardErkhov",
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  "pipeline_tag": "",
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  "siblings_count": 24
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