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richarderkhov/acrastt_-_redpajama-incite-chat-instruct-3b-v1-gguf overview

Detailed results can be found here | Metric | Value | |-----------------------|---------------------------| | Avg. | 39.23 | | ARC (25-shot) | 42.58 | | HellaSwag (10-shot) | 67.48 | | MMLU (5-shot) | 25.99 | | TruthfulQA (0-shot) | 33.62 | | Winogrande (5-shot) | 64.8 | | GSM8K (5-shot) | 0.91 | # Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |---------------------------------|----:| |Avg. |39.23| |AI2 Reasoning Challenge (25-Shot)|42.58| |HellaSwag (10-Shot) |67.48| |MMLU (5-Shot) |25.99| |TruthfulQA (0-shot) |33.62| |Winogrande (5-shot) |64.80| |GSM8k (5-shot) | 0.91|

ggufendpoints_compatibleregion:us
richarderkhov/acrastt_-_redpajama-incite-chat-instruct-3b-v1-gguf visual
Downloads
1,046
Likes
0
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

22 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
RedPajama-INCITE-Chat-Instruct-3B-V1.IQ3_M.gguf GGUF IQ3_M 1.28 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.IQ3_S.gguf GGUF IQ3_S 1.16 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.IQ3_XS.gguf GGUF IQ3_XS 1.14 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.IQ4_NL.gguf GGUF IQ4_NL 1.50 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.IQ4_XS.gguf GGUF IQ4_XS 1.43 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q2_K.gguf GGUF Q2_K 1.01 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q3_K.gguf GGUF Q3_K 1.38 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q3_K_L.gguf GGUF Q3_K_L 1.49 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q3_K_M.gguf GGUF Q3_K_M 1.38 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q3_K_S.gguf GGUF Q3_K_S 1.16 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_0.gguf GGUF 1.49 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_1.gguf GGUF 1.64 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_K.gguf GGUF Q4_K 1.66 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_K_M.gguf GGUF Q4_K_M 1.66 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_K_S.gguf GGUF Q4_K_S 1.50 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_0.gguf GGUF 1.80 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_1.gguf GGUF 1.95 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_K.gguf GGUF Q5_K 1.93 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_K_M.gguf GGUF Q5_K_M 1.93 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_K_S.gguf GGUF Q5_K_S 1.80 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q6_K.gguf GGUF Q6_K 2.13 GB Download
RedPajama-INCITE-Chat-Instruct-3B-V1.Q8_0.gguf GGUF 2.75 GB Download

Model Details Live

Model Slug
richarderkhov/acrastt_-_redpajama-incite-chat-instruct-3b-v1-gguf
Author
RichardErkhov
Pipeline Task
Library
Created
2024-07-30
Last Modified
2024-07-30
Gated
No
Private
No
HF SHA
948fb51e1de13555925df821baf3b6486b4dfb28
License
Unknown
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
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  "card_data": {
    "frontmatter": {},
    "hero_image_url": "https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png",
    "summary": "Detailed results can be found here | Metric                | Value                     | |-----------------------|---------------------------| | Avg.                  | 39.23   | | ARC (25-shot)         | 42.58          | | HellaSwag (10-shot)   | 67.48    | | MMLU (5-shot)         | 25.99         | | TruthfulQA (0-shot)   | 33.62   | | Winogrande (5-shot)   | 64.8   | | GSM8K (5-shot)        | 0.91        | # Open LLM Leaderboard Evaluation Results Detailed results can be found here |             Metric              |Value| |---------------------------------|----:| |Avg.                             |39.23| |AI2 Reasoning Challenge (25-Shot)|42.58| |HellaSwag (10-Shot)              |67.48| |MMLU (5-Shot)                    |25.99| |TruthfulQA (0-shot)              |33.62| |Winogrande (5-shot)              |64.80| |GSM8k (5-shot)                   | 0.91|",
    "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\nRedPajama-INCITE-Chat-Instruct-3B-V1 - GGUF\n- Model creator: https://huggingface.co/acrastt/\n- Original model: https://huggingface.co/acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q2_K.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q2_K.gguf) | Q2_K | 1.01GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.IQ3_XS.gguf) | IQ3_XS | 1.14GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.IQ3_S.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.IQ3_S.gguf) | IQ3_S | 1.16GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q3_K_S.gguf) | Q3_K_S | 1.16GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.IQ3_M.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.IQ3_M.gguf) | IQ3_M | 1.28GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q3_K.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q3_K.gguf) | Q3_K | 1.38GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q3_K_M.gguf) | Q3_K_M | 1.38GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q3_K_L.gguf) | Q3_K_L | 1.49GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.IQ4_XS.gguf) | IQ4_XS | 1.43GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_0.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_0.gguf) | Q4_0 | 1.49GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.IQ4_NL.gguf) | IQ4_NL | 1.5GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_K_S.gguf) | Q4_K_S | 1.5GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_K.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_K.gguf) | Q4_K | 1.66GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_K_M.gguf) | Q4_K_M | 1.66GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_1.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q4_1.gguf) | Q4_1 | 1.64GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_0.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_0.gguf) | Q5_0 | 1.8GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_K_S.gguf) | Q5_K_S | 1.8GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_K.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_K.gguf) | Q5_K | 1.93GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_K_M.gguf) | Q5_K_M | 1.93GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_1.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q5_1.gguf) | Q5_1 | 1.95GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q6_K.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q6_K.gguf) | Q6_K | 2.13GB |\n| [RedPajama-INCITE-Chat-Instruct-3B-V1.Q8_0.gguf](https://huggingface.co/RichardErkhov/acrastt_-_RedPajama-INCITE-Chat-Instruct-3B-V1-gguf/blob/main/RedPajama-INCITE-Chat-Instruct-3B-V1.Q8_0.gguf) | Q8_0 | 2.75GB |\n\n\n\n\nOriginal model description:\n---\nlanguage:\n- en\nlicense: apache-2.0\nlibrary_name: transformers\ndatasets:\n- togethercomputer/RedPajama-Data-1T\n- databricks/databricks-dolly-15k\n- OpenAssistant/oasst1\n- Muennighoff/natural-instructions\n- Muennighoff/P3\npipeline_tag: text-generation\nmodel-index:\n- name: RedPajama-INCITE-Chat-Instruct-3B-V1\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: 42.58\n      name: normalized accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1\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: 67.48\n      name: normalized accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1\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: 25.99\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1\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: 33.62\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1\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: 64.8\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1\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: 0.91\n      name: accuracy\n    source:\n      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/RedPajama-INCITE-Chat-Instruct-3B-V1\n      name: Open LLM Leaderboard\n---\n\n<a href=\"https://www.buymeacoffee.com/acrastt\" target=\"_blank\"><img src=\"https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png\" alt=\"Buy Me A Coffee\" style=\"height: 60px !important;width: 217px !important;\" ></a>\n\nThis is an experimental merge of models [RedPajama-INCITE-Chat-3B-V1](https://huggingface.co/togethercomputer/RedPajama-INCITE-Chat-3B-v1) and [RedPajama-INCITE-Instruct-3B-V1](https://huggingface.co/togethercomputer/RedPajama-INCITE-Instruct-3B-v1).</br>\nThis model is adaptive to prompt templates, but this template is recommended:\n```\nHUMAN: {prompt}\nASSISTANT:\n```\nFeel free to change HUMAN or ASSISTANT. It will not change much.</br>\nGGML versions [here](https://huggingface.co/adadbbb/pajama_ggml) (Note that this is only compatible with [koboldcpp](https://github.com/LostRuins/koboldcpp)).\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_acrastt__RedPajama-INCITE-Chat-Instruct-3B-V1)\n\n| Metric                | Value                     |\n|-----------------------|---------------------------|\n| Avg.                  | 39.23   |\n| ARC (25-shot)         | 42.58          |\n| HellaSwag (10-shot)   | 67.48    |\n| MMLU (5-shot)         | 25.99         |\n| TruthfulQA (0-shot)   | 33.62   |\n| Winogrande (5-shot)   | 64.8   |\n| GSM8K (5-shot)        | 0.91        |\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_acrastt__RedPajama-INCITE-Chat-Instruct-3B-V1)\n\n|             Metric              |Value|\n|---------------------------------|----:|\n|Avg.                             |39.23|\n|AI2 Reasoning Challenge (25-Shot)|42.58|\n|HellaSwag (10-Shot)              |67.48|\n|MMLU (5-Shot)                    |25.99|\n|TruthfulQA (0-shot)              |33.62|\n|Winogrande (5-shot)              |64.80|\n|GSM8k (5-shot)                   | 0.91|\n\n\n\n",
    "related_quantizations": []
  },
  "tags": [
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    "region:us"
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  "last_modified": "2024-07-30T15:23:28.000Z",
  "created_at": "2024-07-30T14:35:11.000Z",
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Source payload excerpt (from Hugging Face API)
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