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richarderkhov/tolgadev_-_llama-2-7b-ruyallm-gguf overview

Quantization made by Richard Erkhov. Github Discord Request more models llama-2-7b-ruyallm - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | llama-2-7b-ruyallm.Q2K.gguf | Q2K | 2.41GB | | llama-2-7b-ruyallm.IQ3XS.gguf | IQ3XS | 2.66GB | | llama-2-7b-ruyallm.IQ3S.gguf | IQ3S | 2.8GB | | llama-2-7b-ruyallm.Q3KS.gguf | Q3KS | 2.8GB | | llama-2-7b-ruyallm.IQ3M.gguf | IQ3M | 2.96GB | | llama-2-7b-ruyallm.Q3K.gguf | Q3K | 3.13GB | | llama-2-7b-ruyallm.Q3KM.gguf | Q3KM | 3.13GB | | llama-2-7b-ruyallm.Q3KL.gguf | Q3KL | 3.41GB | | llama-2-7b-ruyallm.IQ4XS.gguf | IQ4XS | 3.46GB | | llama-2-7b-ruyallm.Q40.gguf | Q40 | 3.63GB | | llama-2-7b-ruyallm.IQ4NL.gguf | IQ4NL | 3.65GB | | llama-2-7b-ruyallm.Q4KS.gguf | Q4KS | 3.66GB | | llama-2-7b-ruyallm.Q4K.gguf | Q4K | 3.87GB | | llama-2-7b-ruyallm.Q4KM.gguf | Q4KM | 3.87GB | | llama-2-7b-ruyallm.Q41.gguf | Q41 | 4.02GB | | llama-2-7b-ruyallm.Q50.gguf | Q50 | 4.4GB | | llama-2-7b-ruyallm.Q5KS.gguf | Q5KS | 4.4GB | | llama-2-7b-ruyallm.Q5K.gguf | Q5K | 4.53GB | | llama-2-7b-ruyallm.Q5KM.gguf | Q5KM | 4.53GB | | llama-2-7b-ruyallm.Q51.gguf | Q51 | 4.79GB | | llama-2-7b-ruyallm.Q6K.gguf | Q6K | 5.23GB | | llama-2-7b-ruyallm.Q80.gguf | Q80 | 6.77GB | Original model description: --- license: apache-2.0 datasets: language: ---

ggufendpoints_compatibleregion:us
richarderkhov/tolgadev_-_llama-2-7b-ruyallm-gguf visual
Downloads
594
Likes
0
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

22 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
llama-2-7b-ruyallm.IQ3_M.gguf GGUF IQ3_M 2.96 GB Download
llama-2-7b-ruyallm.IQ3_S.gguf GGUF IQ3_S 2.80 GB Download
llama-2-7b-ruyallm.IQ3_XS.gguf GGUF IQ3_XS 2.66 GB Download
llama-2-7b-ruyallm.IQ4_NL.gguf GGUF IQ4_NL 3.65 GB Download
llama-2-7b-ruyallm.IQ4_XS.gguf GGUF IQ4_XS 3.46 GB Download
llama-2-7b-ruyallm.Q2_K.gguf GGUF Q2_K 2.41 GB Download
llama-2-7b-ruyallm.Q3_K.gguf GGUF Q3_K 3.13 GB Download
llama-2-7b-ruyallm.Q3_K_L.gguf GGUF Q3_K_L 3.41 GB Download
llama-2-7b-ruyallm.Q3_K_M.gguf GGUF Q3_K_M 3.13 GB Download
llama-2-7b-ruyallm.Q3_K_S.gguf GGUF Q3_K_S 2.80 GB Download
llama-2-7b-ruyallm.Q4_0.gguf GGUF 3.63 GB Download
llama-2-7b-ruyallm.Q4_1.gguf GGUF 4.02 GB Download
llama-2-7b-ruyallm.Q4_K.gguf GGUF Q4_K 3.87 GB Download
llama-2-7b-ruyallm.Q4_K_M.gguf GGUF Q4_K_M 3.87 GB Download
llama-2-7b-ruyallm.Q4_K_S.gguf GGUF Q4_K_S 3.66 GB Download
llama-2-7b-ruyallm.Q5_0.gguf GGUF 4.40 GB Download
llama-2-7b-ruyallm.Q5_1.gguf GGUF 4.79 GB Download
llama-2-7b-ruyallm.Q5_K.gguf GGUF Q5_K 4.53 GB Download
llama-2-7b-ruyallm.Q5_K_M.gguf GGUF Q5_K_M 4.53 GB Download
llama-2-7b-ruyallm.Q5_K_S.gguf GGUF Q5_K_S 4.40 GB Download
llama-2-7b-ruyallm.Q6_K.gguf GGUF Q6_K 5.23 GB Download
llama-2-7b-ruyallm.Q8_0.gguf GGUF 6.77 GB Download

Model Details Live

Model Slug
richarderkhov/tolgadev_-_llama-2-7b-ruyallm-gguf
Author
RichardErkhov
Pipeline Task
Library
Created
2024-09-04
Last Modified
2024-09-04
Gated
No
Private
No
HF SHA
2fdf88c8023a63452f9a927a53ae6fb6f21f27f7
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 llama-2-7b-ruyallm - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | llama-2-7b-ruyallm.Q2_K.gguf | Q2_K | 2.41GB | | llama-2-7b-ruyallm.IQ3_XS.gguf | IQ3_XS | 2.66GB | | llama-2-7b-ruyallm.IQ3_S.gguf | IQ3_S | 2.8GB | | llama-2-7b-ruyallm.Q3_K_S.gguf | Q3_K_S | 2.8GB | | llama-2-7b-ruyallm.IQ3_M.gguf | IQ3_M | 2.96GB | | llama-2-7b-ruyallm.Q3_K.gguf | Q3_K | 3.13GB | | llama-2-7b-ruyallm.Q3_K_M.gguf | Q3_K_M | 3.13GB | | llama-2-7b-ruyallm.Q3_K_L.gguf | Q3_K_L | 3.41GB | | llama-2-7b-ruyallm.IQ4_XS.gguf | IQ4_XS | 3.46GB | | llama-2-7b-ruyallm.Q4_0.gguf | Q4_0 | 3.63GB | | llama-2-7b-ruyallm.IQ4_NL.gguf | IQ4_NL | 3.65GB | | llama-2-7b-ruyallm.Q4_K_S.gguf | Q4_K_S | 3.66GB | | llama-2-7b-ruyallm.Q4_K.gguf | Q4_K | 3.87GB | | llama-2-7b-ruyallm.Q4_K_M.gguf | Q4_K_M | 3.87GB | | llama-2-7b-ruyallm.Q4_1.gguf | Q4_1 | 4.02GB | | llama-2-7b-ruyallm.Q5_0.gguf | Q5_0 | 4.4GB | | llama-2-7b-ruyallm.Q5_K_S.gguf | Q5_K_S | 4.4GB | | llama-2-7b-ruyallm.Q5_K.gguf | Q5_K | 4.53GB | | llama-2-7b-ruyallm.Q5_K_M.gguf | Q5_K_M | 4.53GB | | llama-2-7b-ruyallm.Q5_1.gguf | Q5_1 | 4.79GB | | llama-2-7b-ruyallm.Q6_K.gguf | Q6_K | 5.23GB | | llama-2-7b-ruyallm.Q8_0.gguf | Q8_0 | 6.77GB | Original model description: --- license: apache-2.0 datasets: language: ---",
    "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\nllama-2-7b-ruyallm - GGUF\n- Model creator: https://huggingface.co/tolgadev/\n- Original model: https://huggingface.co/tolgadev/llama-2-7b-ruyallm/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [llama-2-7b-ruyallm.Q2_K.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q2_K.gguf) | Q2_K | 2.41GB |\n| [llama-2-7b-ruyallm.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.IQ3_XS.gguf) | IQ3_XS | 2.66GB |\n| [llama-2-7b-ruyallm.IQ3_S.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.IQ3_S.gguf) | IQ3_S | 2.8GB |\n| [llama-2-7b-ruyallm.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q3_K_S.gguf) | Q3_K_S | 2.8GB |\n| [llama-2-7b-ruyallm.IQ3_M.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.IQ3_M.gguf) | IQ3_M | 2.96GB |\n| [llama-2-7b-ruyallm.Q3_K.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q3_K.gguf) | Q3_K | 3.13GB |\n| [llama-2-7b-ruyallm.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q3_K_M.gguf) | Q3_K_M | 3.13GB |\n| [llama-2-7b-ruyallm.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q3_K_L.gguf) | Q3_K_L | 3.41GB |\n| [llama-2-7b-ruyallm.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.IQ4_XS.gguf) | IQ4_XS | 3.46GB |\n| [llama-2-7b-ruyallm.Q4_0.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q4_0.gguf) | Q4_0 | 3.63GB |\n| [llama-2-7b-ruyallm.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.IQ4_NL.gguf) | IQ4_NL | 3.65GB |\n| [llama-2-7b-ruyallm.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q4_K_S.gguf) | Q4_K_S | 3.66GB |\n| [llama-2-7b-ruyallm.Q4_K.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q4_K.gguf) | Q4_K | 3.87GB |\n| [llama-2-7b-ruyallm.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q4_K_M.gguf) | Q4_K_M | 3.87GB |\n| [llama-2-7b-ruyallm.Q4_1.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q4_1.gguf) | Q4_1 | 4.02GB |\n| [llama-2-7b-ruyallm.Q5_0.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q5_0.gguf) | Q5_0 | 4.4GB |\n| [llama-2-7b-ruyallm.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q5_K_S.gguf) | Q5_K_S | 4.4GB |\n| [llama-2-7b-ruyallm.Q5_K.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q5_K.gguf) | Q5_K | 4.53GB |\n| [llama-2-7b-ruyallm.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q5_K_M.gguf) | Q5_K_M | 4.53GB |\n| [llama-2-7b-ruyallm.Q5_1.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q5_1.gguf) | Q5_1 | 4.79GB |\n| [llama-2-7b-ruyallm.Q6_K.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q6_K.gguf) | Q6_K | 5.23GB |\n| [llama-2-7b-ruyallm.Q8_0.gguf](https://huggingface.co/RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf/blob/main/llama-2-7b-ruyallm.Q8_0.gguf) | Q8_0 | 6.77GB |\n\n\n\n\nOriginal model description:\n---\nlicense: apache-2.0\ndatasets:\n- tolgadev/ruyatabirleri_instruct\nlanguage:\n- tr\n- en\n---\n## llama-2-7b-ruyallm model\n----\n## Description\n\nThis repo contains finetuned model files for llama-2-7b-ruyallm. This model finetuned on tolgadev/ruyatabirleri_instruct dataset on huggingface 🤗.\n\nThanks to maximelabonne's contribution on fine tuning based colab notebook, it took ~2 hours to fine-tune.\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 594,
  "gated": false,
  "private": false,
  "last_modified": "2024-09-04T16:56:25.000Z",
  "created_at": "2024-09-04T10:02:21.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
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  "id": "RichardErkhov/tolgadev_-_llama-2-7b-ruyallm-gguf",
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  "sha": "2fdf88c8023a63452f9a927a53ae6fb6f21f27f7",
  "createdAt": "2024-09-04T10:02:21.000Z",
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  "siblings_count": 24
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