Dans-Archive/Dans-MysteryModel-13b
Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:13BQuant:FP8Ctx Length:4kArchitecture:Transformer Warm

Dans-Archive/Dans-MysteryModel-13b is a 13 billion parameter multipurpose chat and chat instruct hybrid model, developed by Dans-Archive, based on the Holodeck-1 architecture. It is designed as a prototype for the PersonalityEngine Mk. 2, excelling in one-shot instructions, multi-round conversations, role-playing scenarios, and text adventure games. The model utilizes a 4096-token context length and is fine-tuned using QLoRA.

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Model Overview

Dans-Archive/Dans-MysteryModel-13b is a 13 billion parameter language model developed by Dans-Archive, serving as a prototype for the PersonalityEngine Mk. 2. This model is a versatile chat and chat instruct hybrid, built upon the Holodeck-1 architecture, and fine-tuned using QLoRA with a 4096-token sequence length.

Key Capabilities

  • Multipurpose Chat: Handles both one-shot and multi-round conversational instructions effectively.
  • Role-Playing: Designed to engage in diverse role-playing scenarios.
  • Text Adventures: Excels in generating responses for text adventure games, leveraging the curated Skein dataset.
  • Pygmalion / Metharme Prompt Format: Supports a flexible prompt structure for various interaction styles.

Training Details

The model underwent 16 hours of QLoRA training on a single RTX 3090, utilizing a PEFT R/A of 32/32. Its development benefited significantly from the Holodeck-1 base model by KoboldAI and the Skein text adventure dataset, also curated by the KoboldAI community.

Good For

  • Developers experimenting with advanced chat and instruct models.
  • Applications requiring dynamic role-playing or interactive storytelling.
  • Creating engaging text-based adventure games.
  • Prototyping conversational AI with a focus on personality and context retention.
Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
min_p