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richarderkhov/weyaxi_-_einstein-v6.1-llama3-8b-instruct-ties-gguf overview

This is a merge of pre-trained language models created using mergekit.

ggufarxiv:2306.01708endpoints_compatibleregion:us
richarderkhov/weyaxi_-_einstein-v6.1-llama3-8b-instruct-ties-gguf visual
Downloads
335
Likes
0
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

22 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ3_M.gguf GGUF IQ3_M 3.52 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ3_S.gguf GGUF IQ3_S 3.43 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ3_XS.gguf GGUF IQ3_XS 3.28 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ4_NL.gguf GGUF IQ4_NL 4.38 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ4_XS.gguf GGUF IQ4_XS 4.18 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q2_K.gguf GGUF Q2_K 2.96 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q3_K.gguf GGUF Q3_K 3.74 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q3_K_L.gguf GGUF Q3_K_L 4.03 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q3_K_M.gguf GGUF Q3_K_M 3.74 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q3_K_S.gguf GGUF Q3_K_S 3.41 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_0.gguf GGUF 4.34 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_1.gguf GGUF 4.78 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_K.gguf GGUF Q4_K 4.58 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_K_M.gguf GGUF Q4_K_M 4.58 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_K_S.gguf GGUF Q4_K_S 4.37 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_0.gguf GGUF 5.21 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_1.gguf GGUF 5.65 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_K.gguf GGUF Q5_K 5.34 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_K_M.gguf GGUF Q5_K_M 5.34 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_K_S.gguf GGUF Q5_K_S 5.21 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q6_K.gguf GGUF Q6_K 6.14 GB Download
Einstein-v6.1-LLama3-8B-Instruct-Ties.Q8_0.gguf GGUF 7.95 GB Download

Model Details Live

Model Slug
richarderkhov/weyaxi_-_einstein-v6.1-llama3-8b-instruct-ties-gguf
Author
RichardErkhov
Pipeline Task
Library
Created
2024-07-20
Last Modified
2024-07-20
Gated
No
Private
No
HF SHA
216037305fea6b4ec9520ab32e3176b7aeeb427e
License
Unknown
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "frontmatter": {},
    "hero_image_url": "",
    "summary": "This is a merge of pre-trained language models created using mergekit.",
    "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\nEinstein-v6.1-LLama3-8B-Instruct-Ties - GGUF\n- Model creator: https://huggingface.co/Weyaxi/\n- Original model: https://huggingface.co/Weyaxi/Einstein-v6.1-LLama3-8B-Instruct-Ties/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q2_K.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q2_K.gguf) | Q2_K | 2.96GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ3_XS.gguf) | IQ3_XS | 3.28GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ3_S.gguf) | IQ3_S | 3.43GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q3_K_S.gguf) | Q3_K_S | 3.41GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ3_M.gguf) | IQ3_M | 3.52GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q3_K.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q3_K.gguf) | Q3_K | 3.74GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q3_K_M.gguf) | Q3_K_M | 3.74GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q3_K_L.gguf) | Q3_K_L | 4.03GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ4_XS.gguf) | IQ4_XS | 4.18GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_0.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_0.gguf) | Q4_0 | 4.34GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.IQ4_NL.gguf) | IQ4_NL | 4.38GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_K_S.gguf) | Q4_K_S | 4.37GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_K.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_K.gguf) | Q4_K | 4.58GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_K_M.gguf) | Q4_K_M | 4.58GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_1.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q4_1.gguf) | Q4_1 | 4.78GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_0.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_0.gguf) | Q5_0 | 5.21GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_K_S.gguf) | Q5_K_S | 5.21GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_K.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_K.gguf) | Q5_K | 5.34GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_K_M.gguf) | Q5_K_M | 5.34GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_1.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q5_1.gguf) | Q5_1 | 5.65GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q6_K.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q6_K.gguf) | Q6_K | 6.14GB |\n| [Einstein-v6.1-LLama3-8B-Instruct-Ties.Q8_0.gguf](https://huggingface.co/RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf/blob/main/Einstein-v6.1-LLama3-8B-Instruct-Ties.Q8_0.gguf) | Q8_0 | 7.95GB |\n\n\n\n\nOriginal model description:\n---\nbase_model:\n- Weyaxi/Einstein-v6.1-Llama3-8B\n- meta-llama/Meta-Llama-3-8B-Instruct\n- meta-llama/Meta-Llama-3-8B\nlibrary_name: transformers\ntags:\n- mergekit\n- merge\nlicense: other\n---\n# merge\n\nThis is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).\n\n## Merge Details\n### Merge Method\n\nThis model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) as a base.\n\n### Models Merged\n\nThe following models were included in the merge:\n* [Weyaxi/Einstein-v6.1-Llama3-8B](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B)\n* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\nmodels:\n  - model: meta-llama/Meta-Llama-3-8B\n    #no parameters necessary for base model\n  - model: Weyaxi/Einstein-v6.1-Llama3-8B\n    parameters:\n      density: 0.5\n      weight: 0.5\n  - model: meta-llama/Meta-Llama-3-8B-Instruct\n    parameters:\n      density: 0.5\n      weight: 0.5\n\nmerge_method: ties\nbase_model: meta-llama/Meta-Llama-3-8B\nparameters:\n  normalize: false\n  int8_mask: true\ndtype: bfloat16\n```\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "arxiv:2306.01708",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 335,
  "gated": false,
  "private": false,
  "last_modified": "2024-07-20T07:39:52.000Z",
  "created_at": "2024-07-20T00:42:07.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "669b07df990749decae3caa9",
  "id": "RichardErkhov/Weyaxi_-_Einstein-v6.1-LLama3-8B-Instruct-Ties-gguf",
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  "sha": "216037305fea6b4ec9520ab32e3176b7aeeb427e",
  "createdAt": "2024-07-20T00:42:07.000Z",
  "lastModified": "2024-07-20T07:39:52.000Z",
  "author": "RichardErkhov",
  "downloads": 335,
  "likes": 0,
  "gated": false,
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  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 24
}