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arliai/mistral-small-22b-arliai-rpmax-v1.1-gguf Q3_K_S GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

arliai/mistral-small-22b-arliai-rpmax-v1.1-gguf overview

Mistral-Small-22B-ArliAI-RPMax-v1.1 =====================================

gguflicense:otherendpoints_compatibleregion:usconversational
arliai/mistral-small-22b-arliai-rpmax-v1.1-gguf visual
Downloads
287
Likes
16
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

10 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Mistral-Small-22B-ArliAI-RPMax-v1.1-Q3_K_L.gguf GGUF Q3_K_L 10.92 GB Download
Mistral-Small-22B-ArliAI-RPMax-v1.1-Q3_K_M.gguf GGUF Q3_K_M 10.02 GB Download
Mistral-Small-22B-ArliAI-RPMax-v1.1-Q3_K_S.gguf GGUF Q3_K_S 8.98 GB Download
Mistral-Small-22B-ArliAI-RPMax-v1.1-Q4_K_M.gguf GGUF Q4_K_M 12.42 GB Download
Mistral-Small-22B-ArliAI-RPMax-v1.1-Q4_K_S.gguf GGUF Q4_K_S 11.79 GB Download
Mistral-Small-22B-ArliAI-RPMax-v1.1-Q5_K_M.gguf GGUF Q5_K_M 14.64 GB Download
Mistral-Small-22B-ArliAI-RPMax-v1.1-Q5_K_S.gguf GGUF Q5_K_S 14.27 GB Download
Mistral-Small-22B-ArliAI-RPMax-v1.1-Q6_K.gguf GGUF Q6_K 17.00 GB Download
Mistral-Small-22B-ArliAI-RPMax-v1.1-fp16.gguf GGUF 41.44 GB Download
Mistral-Small-22B-ArliAI-RPMax-v1.1-q8_0.gguf GGUF 22.02 GB Download

Model Details Live

Model Slug
arliai/mistral-small-22b-arliai-rpmax-v1.1-gguf
Author
ArliAI
Pipeline Task
Library
Created
2024-09-26
Last Modified
2024-10-12
Gated
No
Private
No
HF SHA
66b57018ddf2add7ecc66956c8dc26f04387a876
License
other
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "license": "other",
    "license_name": "mrl",
    "license_link": "https://mistral.ai/licenses/MRL-0.1.md",
    "extra_gated_description": "If you want to learn more about how we process your personal data, please read our <a href=\"https://mistral.ai/terms/\">Privacy Policy</a>.",
    "frontmatter": {
      "license": "other",
      "license_name": "mrl",
      "license_link": "https://mistral.ai/licenses/MRL-0.1.md",
      "extra_gated_description": "If you want to learn more about how we process your personal"
    },
    "hero_image_url": "",
    "summary": "# Mistral-Small-22B-ArliAI-RPMax-v1.1 =====================================",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: other\nlicense_name: mrl\nlicense_link: https://mistral.ai/licenses/MRL-0.1.md\nextra_gated_description: If you want to learn more about how we process your personal\n  data, please read our <a href=\"https://mistral.ai/terms/\">Privacy Policy</a>.\n---\n# Mistral-Small-22B-ArliAI-RPMax-v1.1\n=====================================\n\n## RPMax Series Overview\n\n| [2B](https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1) |\n[3.8B](https://huggingface.co/ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1) | \n[8B](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1) | \n[9B](https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1) |\n[12B](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1) | \n[20B](https://huggingface.co/ArliAI/InternLM2_5-20B-ArliAI-RPMax-v1.1) | \n[22B](https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1) | \n[70B](https://huggingface.co/ArliAI/Llama-3.1-70B-ArliAI-RPMax-v1.1) | \n\nRPMax is a series of models that are trained on a diverse set of curated creative writing and RP datasets with a focus on variety and deduplication. This model is designed to be highly creative and non-repetitive by making sure no two entries in the dataset have repeated characters or situations, which makes sure the model does not latch on to a certain personality and be capable of understanding and acting appropriately to any characters or situations.\n\nEarly tests by users mentioned that these models does not feel like any other RP models, having a different style and generally doesn't feel in-bred.\n\nYou can access the models at https://arliai.com and ask questions at https://www.reddit.com/r/ArliAI/\n\nWe also have a models ranking page at https://www.arliai.com/models-ranking\n\nAsk questions in our new Discord Server! https://discord.com/invite/t75KbPgwhk\n\n## Model Description\n\nMistral-Small-22B-ArliAI-RPMax-v1.1 is a variant based on mistralai/Mistral-Small-Instruct-2409 which has a restrictive mistral license. So this is for your personal use only.\n\n### Training Details\n\n* **Sequence Length**: 8192\n* **Training Duration**: Approximately 4 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## Quantization\n\nThe model is available in quantized formats:\n\n* **FP16**: https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1\n* **GPTQ_Q4**: https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1-GPTQ_Q4\n* **GPTQ_Q8**: https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1-GPTQ_Q8\n* **GGUF**: https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1-GGUF\n\n## Suggested Prompt Format\n\nMistral Instruct Format\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 16,
  "downloads": 287,
  "gated": false,
  "private": false,
  "last_modified": "2024-10-12T13:04:02.000Z",
  "created_at": "2024-09-26T12:13:09.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
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  "id": "ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1-GGUF",
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  "sha": "66b57018ddf2add7ecc66956c8dc26f04387a876",
  "createdAt": "2024-09-26T12:13:09.000Z",
  "lastModified": "2024-10-12T13:04:02.000Z",
  "author": "ArliAI",
  "downloads": 287,
  "likes": 16,
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  "siblings_count": 12
}