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duyntnet/mistral-nemo-12b-arliai-rpmax-v1.1-imatrix-gguf overview

ArliAI-RPMax-12B-v1.1 is a variant based on Mistral Nemo 12B Instruct 2407. This is arguably the most successful RPMax model due to how Mistral is already very uncensored in the first place. ### Training Details Sequence Length: 8192 Training Duration: Approximately 2 days on 2x3090Ti Epochs: 1 epoch training for minimized repetition sickness QLORA: 64-rank 128-alpha, resulting in ~2% trainable weights Learning Rate: 0.00001 Gradient accumulation: Very low 32 for better learning. ### Suggested Prompt Format Mistral Instruct Prompt Format ### Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |20.64| |IFEval (0-Shot) |53.49| |BBH (3-Shot) |24.81| |MATH Lvl 5 (4-Shot)| 9.21| |GPQA (0-shot) | 4.25| |MuSR (0-shot) | 5.56| |MMLU-PRO (5-shot) |26.49|

transformersggufimatrixMistral-Nemo-12B-ArliAI-RPMax-v1.1text-generationenlicense:otherregion:usconversational
duyntnet/mistral-nemo-12b-arliai-rpmax-v1.1-imatrix-gguf visual
Downloads
228
Likes
0
Pipeline
text-generation
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

27 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-IQ1_M.gguf GGUF IQ1_M 3.00 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-IQ1_S.gguf GGUF IQ1_S 2.79 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-IQ2_M.gguf GGUF IQ2_M 4.13 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-IQ2_S.gguf GGUF IQ2_S 3.85 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-IQ2_XS.gguf GGUF IQ2_XS 3.65 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-IQ2_XXS.gguf GGUF IQ2_XXS 3.35 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-IQ3_M.gguf GGUF IQ3_M 5.33 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-IQ3_S.gguf GGUF IQ3_S 5.18 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-IQ3_XS.gguf GGUF IQ3_XS 4.94 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-IQ3_XXS.gguf GGUF IQ3_XXS 4.61 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-IQ4_NL.gguf GGUF IQ4_NL 6.61 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-IQ4_XS.gguf GGUF IQ4_XS 6.28 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q2_K.gguf GGUF Q2_K 4.46 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q2_K_S.gguf GGUF Q2_K_S 4.19 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q3_K_L.gguf GGUF Q3_K_L 6.11 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q3_K_M.gguf GGUF Q3_K_M 5.67 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q3_K_S.gguf GGUF Q3_K_S 5.15 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q4_0.gguf GGUF 6.61 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q4_1.gguf GGUF 7.26 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q4_K_M.gguf GGUF Q4_K_M 6.96 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q4_K_S.gguf GGUF Q4_K_S 6.63 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q5_0.gguf GGUF 7.96 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q5_1.gguf GGUF 8.61 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q5_K_M.gguf GGUF Q5_K_M 8.13 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q5_K_S.gguf GGUF Q5_K_S 7.93 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q6_K.gguf GGUF Q6_K 9.37 GB Download
Mistral-Nemo-12B-ArliAI-RPMax-v1.1-Q8_0.gguf GGUF 12.13 GB Download

Model Details Live

Model Slug
duyntnet/mistral-nemo-12b-arliai-rpmax-v1.1-imatrix-gguf
Author
duyntnet
Pipeline Task
text-generation
Library
transformers
Created
2025-02-27
Last Modified
2025-02-27
Gated
No
Private
No
HF SHA
8accb14e298f79944f89face7dd8a707b4897281
License
other
Language
en
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
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      "en"
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    "frontmatter": {
      "license": "other",
      "language": [
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      "pipeline_tag": "text-generation",
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      "tags": [
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    "summary": "ArliAI-RPMax-12B-v1.1 is a variant based on Mistral Nemo 12B Instruct 2407. This is arguably the most successful RPMax model due to how Mistral is already very uncensored in the first place. ### Training Details * **Sequence Length**: 8192 * **Training Duration**: Approximately 2 days on 2x3090Ti * **Epochs**: 1 epoch training for minimized repetition sickness * **QLORA**: 64-rank 128-alpha, resulting in ~2% trainable weights * **Learning Rate**: 0.00001 * **Gradient accumulation**: Very low 32 for better learning. ### Suggested Prompt Format Mistral Instruct Prompt Format ### Open LLM Leaderboard Evaluation Results Detailed results can be found here |      Metric       |Value| |-------------------|----:| |Avg.               |20.64| |IFEval (0-Shot)    |53.49| |BBH (3-Shot)       |24.81| |MATH Lvl 5 (4-Shot)| 9.21| |GPQA (0-shot)      | 4.25| |MuSR (0-shot)      | 5.56| |MMLU-PRO (5-shot)  |26.49|",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: other\nlanguage:\n- en\npipeline_tag: text-generation\ninference: false\ntags:\n- transformers\n- gguf\n- imatrix\n- Mistral-Nemo-12B-ArliAI-RPMax-v1.1\n---\nQuantizations of https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1\n\n### Inference Clients/UIs\n* [llama.cpp](https://github.com/ggerganov/llama.cpp)\n* [KoboldCPP](https://github.com/LostRuins/koboldcpp)\n* [ollama](https://github.com/ollama/ollama)\n* [text-generation-webui](https://github.com/oobabooga/text-generation-webui)\n* [jan](https://github.com/janhq/jan)\n* [GPT4All](https://github.com/nomic-ai/gpt4all)\n---\n\n# From original readme\n\nArliAI-RPMax-12B-v1.1 is a variant based on Mistral Nemo 12B Instruct 2407.\n\nThis is arguably the most successful RPMax model due to how Mistral is already very uncensored in the first place.\n\n### Training Details\n\n* **Sequence Length**: 8192\n* **Training Duration**: Approximately 2 days on 2x3090Ti\n* **Epochs**: 1 epoch training for minimized repetition sickness\n* **QLORA**: 64-rank 128-alpha, resulting in ~2% trainable weights\n* **Learning Rate**: 0.00001\n* **Gradient accumulation**: Very low 32 for better learning.\n\n### Suggested Prompt Format\n\nMistral Instruct Prompt Format\n\n### [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)\nDetailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ArliAI__ArliAI-RPMax-12B-v1.1)\n\n|      Metric       |Value|\n|-------------------|----:|\n|Avg.               |20.64|\n|IFEval (0-Shot)    |53.49|\n|BBH (3-Shot)       |24.81|\n|MATH Lvl 5 (4-Shot)| 9.21|\n|GPQA (0-shot)      | 4.25|\n|MuSR (0-shot)      | 5.56|\n|MMLU-PRO (5-shot)  |26.49|\n\n",
    "related_quantizations": []
  },
  "tags": [
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  "last_modified": "2025-02-27T02:56:29.000Z",
  "created_at": "2025-02-27T00:55:35.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
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Source payload excerpt (from Hugging Face API)
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