Model Intelligence Sheet
quantfactory/mistral-nemo-12b-arliai-rpmax-v1.1-gguf overview
This is quantized version of ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1 created using llama.cpp # Original Model Card # ArliAI-RPMax-12B-v1.1 =====================================
Downloads
103
Likes
3
Pipeline
—
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
14 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Mistral-Nemo-12B-ArliAI-RPMax-v1.1.Q2_K.gguf | GGUF | Q2_K | 4.46 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 | — | 6.59 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 | — | 7.93 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
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "apache-2.0",
"frontmatter": {},
"hero_image_url": "https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ",
"summary": "This is quantized version of ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1 created using llama.cpp # Original Model Card # ArliAI-RPMax-12B-v1.1 =====================================",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "\n---\n\nlicense: apache-2.0\n\n---\n\n\n\n# QuantFactory/Mistral-Nemo-12B-ArliAI-RPMax-v1.1-GGUF\nThis is quantized version of [ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1) created using llama.cpp\n\n# Original Model Card\n\n# ArliAI-RPMax-12B-v1.1\n=====================================\n\n## Overview\n\nThis repository is based on the Mistral-Nemo-Base-2407 model and is governed by the Apache 2.0 License agreement: https://huggingface.co/mistralai/Mistral-Nemo-Base-2407\n\n## Model Description\n\nArliAI-RPMax-12B-v1.1 is trained on a diverse set of curated RP datasets with a focus on variety and deduplication. This model is designed to be highly creative and non-repetitive, with a unique approach to training that minimizes repetition.\n\nYou can access the model at https://arliai.com and ask questions at https://www.reddit.com/r/ArliAI/\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## Quantization\n\nThe model is available in quantized formats:\n\n* **FP16**: https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1\n* **GPTQ_Q4**: https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1-GPTQ_Q4\n* **GPTQ_Q8**: https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1-GPTQ_Q8\n* **GGUF**: https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1-GGUF\n\n\n## Suggested Prompt Format\n\nMistral Instruct Prompt Format\n\n",
"related_quantizations": []
},
"tags": [
"gguf",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 3,
"downloads": 103,
"gated": false,
"private": false,
"last_modified": "2024-09-09T06:58:29.000Z",
"created_at": "2024-09-09T05:44:56.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "66de8b585598833ba1b08ff6",
"id": "QuantFactory/Mistral-Nemo-12B-ArliAI-RPMax-v1.1-GGUF",
"modelId": "QuantFactory/Mistral-Nemo-12B-ArliAI-RPMax-v1.1-GGUF",
"sha": "83a31e7161874f6c2b94fd8b02a8d0d49a9f7f6b",
"createdAt": "2024-09-09T05:44:56.000Z",
"lastModified": "2024-09-09T06:58:29.000Z",
"author": "QuantFactory",
"downloads": 103,
"likes": 3,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "",
"siblings_count": 16
}