GraySoft
Projects Models About FAQ Contact Download guIDE →

arliai/llama-3.1-8b-arliai-rpmax-v1.1-gguf Q3_K_M 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/llama-3.1-8b-arliai-rpmax-v1.1-gguf overview

=====================================

gguflicense:llama3endpoints_compatibleregion:usconversational
arliai/llama-3.1-8b-arliai-rpmax-v1.1-gguf visual
Downloads
87
Likes
12
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

11 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Llama-3.1-8B-ArliAI-RPMax-v1.1-Q2_K.gguf GGUF Q2_K 2.96 GB Download
Llama-3.1-8B-ArliAI-RPMax-v1.1-Q3_K_L.gguf GGUF Q3_K_L 4.03 GB Download
Llama-3.1-8B-ArliAI-RPMax-v1.1-Q3_K_M.gguf GGUF Q3_K_M 3.74 GB Download
Llama-3.1-8B-ArliAI-RPMax-v1.1-Q3_K_S.gguf GGUF Q3_K_S 3.41 GB Download
Llama-3.1-8B-ArliAI-RPMax-v1.1-Q4_K_M.gguf GGUF Q4_K_M 4.58 GB Download
Llama-3.1-8B-ArliAI-RPMax-v1.1-Q4_K_S.gguf GGUF Q4_K_S 4.37 GB Download
Llama-3.1-8B-ArliAI-RPMax-v1.1-Q5_K_M.gguf GGUF Q5_K_M 5.34 GB Download
Llama-3.1-8B-ArliAI-RPMax-v1.1-Q5_K_S.gguf GGUF Q5_K_S 5.21 GB Download
Llama-3.1-8B-ArliAI-RPMax-v1.1-Q6_K.gguf GGUF Q6_K 6.14 GB Download
Llama-3.1-8B-ArliAI-RPMax-v1.1-fp16.gguf GGUF 14.97 GB Download
Llama-3.1-8B-ArliAI-RPMax-v1.1-q8_0.gguf GGUF 7.95 GB Download

Model Details Live

Model Slug
arliai/llama-3.1-8b-arliai-rpmax-v1.1-gguf
Author
ArliAI
Pipeline Task
Library
Created
2024-08-23
Last Modified
2024-10-12
Gated
No
Private
No
HF SHA
7f61df1e1a7ce692fb36ecd7b7415e0c68dae4fc
License
llama3
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "license": "llama3",
    "frontmatter": {
      "license": "llama3"
    },
    "hero_image_url": "",
    "summary": "=====================================",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: llama3\n---\n\n# Llama-3.1-8B-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 model 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\nLlama-3.1-8B-ArliAI-RPMax-v1.1 is a variant of the Meta-Llama-3.1-8B model.\n\nv1.1 is just a small fix to not train and save the embeddings layer and small changes to the dataset, since v1.0 had the lm_head unnecessarily trained on accident.\n\n### Training Details\n\n* **Sequence Length**: 8192\n* **Training Duration**: Approximately 1 day on 2x3090Ti\n* **Epochs**: 1 epoch training for minimized repetition sickness\n* **LORA**: 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\nWe recommend using full weights or GPTQ\n\n* **FP16**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1\n* **GPTQ_Q4**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1-GPTQ_Q4\n* **GPTQ_Q8**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1-GPTQ_Q8\n* **GGUF**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1-GGUF\n\n## Suggested Prompt Format\n\nLlama 3 Instruct Format\n\nExample:\n```\n<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are [character]. You have a personality of [personality description]. [Describe scenario]<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n{{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n```",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "license:llama3",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 12,
  "downloads": 87,
  "gated": false,
  "private": false,
  "last_modified": "2024-10-12T13:06:44.000Z",
  "created_at": "2024-08-23T13:09:46.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "66c88a1aa36a686617380f50",
  "id": "ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1-GGUF",
  "modelId": "ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1-GGUF",
  "sha": "7f61df1e1a7ce692fb36ecd7b7415e0c68dae4fc",
  "createdAt": "2024-08-23T13:09:46.000Z",
  "lastModified": "2024-10-12T13:06:44.000Z",
  "author": "ArliAI",
  "downloads": 87,
  "likes": 12,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 13
}