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richarderkhov/vicgalle_-_zephyr-7b-truthy-gguf overview

Detailed results can be found here | Metric |Value| |---------------------------------|----:| |Avg. |61.93| |AI2 Reasoning Challenge (25-Shot)|60.75| |HellaSwag (10-Shot) |84.64| |MMLU (5-Shot) |59.53| |TruthfulQA (0-shot) |63.31| |Winogrande (5-shot) |77.90| |GSM8k (5-shot) |25.47|

ggufendpoints_compatibleregion:usconversational
richarderkhov/vicgalle_-_zephyr-7b-truthy-gguf visual
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586
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0
Pipeline
Library
Visibility
Public
Access
Open

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22 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
zephyr-7b-truthy.IQ3_M.gguf GGUF IQ3_M 3.06 GB Download
zephyr-7b-truthy.IQ3_S.gguf GGUF IQ3_S 2.96 GB Download
zephyr-7b-truthy.IQ3_XS.gguf GGUF IQ3_XS 2.81 GB Download
zephyr-7b-truthy.IQ4_NL.gguf GGUF IQ4_NL 3.87 GB Download
zephyr-7b-truthy.IQ4_XS.gguf GGUF IQ4_XS 3.67 GB Download
zephyr-7b-truthy.Q2_K.gguf GGUF Q2_K 2.53 GB Download
zephyr-7b-truthy.Q3_K.gguf GGUF Q3_K 3.28 GB Download
zephyr-7b-truthy.Q3_K_L.gguf GGUF Q3_K_L 3.56 GB Download
zephyr-7b-truthy.Q3_K_M.gguf GGUF Q3_K_M 3.28 GB Download
zephyr-7b-truthy.Q3_K_S.gguf GGUF Q3_K_S 2.95 GB Download
zephyr-7b-truthy.Q4_0.gguf GGUF 3.83 GB Download
zephyr-7b-truthy.Q4_1.gguf GGUF 4.24 GB Download
zephyr-7b-truthy.Q4_K.gguf GGUF Q4_K 4.07 GB Download
zephyr-7b-truthy.Q4_K_M.gguf GGUF Q4_K_M 4.07 GB Download
zephyr-7b-truthy.Q4_K_S.gguf GGUF Q4_K_S 3.86 GB Download
zephyr-7b-truthy.Q5_0.gguf GGUF 4.65 GB Download
zephyr-7b-truthy.Q5_1.gguf GGUF 5.07 GB Download
zephyr-7b-truthy.Q5_K.gguf GGUF Q5_K 4.78 GB Download
zephyr-7b-truthy.Q5_K_M.gguf GGUF Q5_K_M 4.78 GB Download
zephyr-7b-truthy.Q5_K_S.gguf GGUF Q5_K_S 4.65 GB Download
zephyr-7b-truthy.Q6_K.gguf GGUF Q6_K 5.53 GB Download
zephyr-7b-truthy.Q8_0.gguf GGUF 7.17 GB Download

Model Details Live

Model Slug
richarderkhov/vicgalle_-_zephyr-7b-truthy-gguf
Author
RichardErkhov
Pipeline Task
Library
Created
2024-09-04
Last Modified
2024-09-04
Gated
No
Private
No
HF SHA
3706e49b34018be4c0b55f5cac36a59c54c8e54c
License
Unknown
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "frontmatter": {},
    "hero_image_url": "",
    "summary": "Detailed results can be found here |             Metric              |Value| |---------------------------------|----:| |Avg.                             |61.93| |AI2 Reasoning Challenge (25-Shot)|60.75| |HellaSwag (10-Shot)              |84.64| |MMLU (5-Shot)                    |59.53| |TruthfulQA (0-shot)              |63.31| |Winogrande (5-shot)              |77.90| |GSM8k (5-shot)                   |25.47|",
    "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\nzephyr-7b-truthy - GGUF\n- Model creator: https://huggingface.co/vicgalle/\n- Original model: https://huggingface.co/vicgalle/zephyr-7b-truthy/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [zephyr-7b-truthy.Q2_K.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q2_K.gguf) | Q2_K | 2.53GB |\n| [zephyr-7b-truthy.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.IQ3_XS.gguf) | IQ3_XS | 2.81GB |\n| [zephyr-7b-truthy.IQ3_S.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.IQ3_S.gguf) | IQ3_S | 2.96GB |\n| [zephyr-7b-truthy.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q3_K_S.gguf) | Q3_K_S | 2.95GB |\n| [zephyr-7b-truthy.IQ3_M.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.IQ3_M.gguf) | IQ3_M | 3.06GB |\n| [zephyr-7b-truthy.Q3_K.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q3_K.gguf) | Q3_K | 3.28GB |\n| [zephyr-7b-truthy.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q3_K_M.gguf) | Q3_K_M | 3.28GB |\n| [zephyr-7b-truthy.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q3_K_L.gguf) | Q3_K_L | 3.56GB |\n| [zephyr-7b-truthy.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.IQ4_XS.gguf) | IQ4_XS | 3.67GB |\n| [zephyr-7b-truthy.Q4_0.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q4_0.gguf) | Q4_0 | 3.83GB |\n| [zephyr-7b-truthy.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.IQ4_NL.gguf) | IQ4_NL | 3.87GB |\n| [zephyr-7b-truthy.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q4_K_S.gguf) | Q4_K_S | 3.86GB |\n| [zephyr-7b-truthy.Q4_K.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q4_K.gguf) | Q4_K | 4.07GB |\n| [zephyr-7b-truthy.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q4_K_M.gguf) | Q4_K_M | 4.07GB |\n| [zephyr-7b-truthy.Q4_1.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q4_1.gguf) | Q4_1 | 4.24GB |\n| [zephyr-7b-truthy.Q5_0.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q5_0.gguf) | Q5_0 | 4.65GB |\n| [zephyr-7b-truthy.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q5_K_S.gguf) | Q5_K_S | 4.65GB |\n| [zephyr-7b-truthy.Q5_K.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q5_K.gguf) | Q5_K | 4.78GB |\n| [zephyr-7b-truthy.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q5_K_M.gguf) | Q5_K_M | 4.78GB |\n| [zephyr-7b-truthy.Q5_1.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q5_1.gguf) | Q5_1 | 5.07GB |\n| [zephyr-7b-truthy.Q6_K.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q6_K.gguf) | Q6_K | 5.53GB |\n| [zephyr-7b-truthy.Q8_0.gguf](https://huggingface.co/RichardErkhov/vicgalle_-_zephyr-7b-truthy-gguf/blob/main/zephyr-7b-truthy.Q8_0.gguf) | Q8_0 | 7.17GB |\n\n\n\n\nOriginal model description:\n---\nlicense: apache-2.0\nlibrary_name: transformers\ndatasets:\n- jondurbin/truthy-dpo-v0.1\nmodel-index:\n- name: zephyr-7b-truthy\n  results:\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: AI2 Reasoning Challenge (25-Shot)\n      type: ai2_arc\n      config: ARC-Challenge\n      split: test\n      args:\n        num_few_shot: 25\n    metrics:\n    - type: acc_norm\n      value: 60.75\n      name: normalized accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/zephyr-7b-truthy\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: HellaSwag (10-Shot)\n      type: hellaswag\n      split: validation\n      args:\n        num_few_shot: 10\n    metrics:\n    - type: acc_norm\n      value: 84.64\n      name: normalized accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/zephyr-7b-truthy\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: MMLU (5-Shot)\n      type: cais/mmlu\n      config: all\n      split: test\n      args:\n        num_few_shot: 5\n    metrics:\n    - type: acc\n      value: 59.53\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/zephyr-7b-truthy\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: TruthfulQA (0-shot)\n      type: truthful_qa\n      config: multiple_choice\n      split: validation\n      args:\n        num_few_shot: 0\n    metrics:\n    - type: mc2\n      value: 63.31\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/zephyr-7b-truthy\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: Winogrande (5-shot)\n      type: winogrande\n      config: winogrande_xl\n      split: validation\n      args:\n        num_few_shot: 5\n    metrics:\n    - type: acc\n      value: 77.9\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/zephyr-7b-truthy\n      name: Open LLM Leaderboard\n  - task:\n      type: text-generation\n      name: Text Generation\n    dataset:\n      name: GSM8k (5-shot)\n      type: gsm8k\n      config: main\n      split: test\n      args:\n        num_few_shot: 5\n    metrics:\n    - type: acc\n      value: 25.47\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/zephyr-7b-truthy\n      name: Open LLM Leaderboard\n---\n\n\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_vicgalle__zephyr-7b-truthy)\n\n|             Metric              |Value|\n|---------------------------------|----:|\n|Avg.                             |61.93|\n|AI2 Reasoning Challenge (25-Shot)|60.75|\n|HellaSwag (10-Shot)              |84.64|\n|MMLU (5-Shot)                    |59.53|\n|TruthfulQA (0-shot)              |63.31|\n|Winogrande (5-shot)              |77.90|\n|GSM8k (5-shot)                   |25.47|\n\n\n\n",
    "related_quantizations": []
  },
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Source payload excerpt (from Hugging Face API)
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