dreamgen/opus-v1.2-llama-3-8b

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Apr 19, 2024License:cc-by-nc-nd-4.0Architecture:Transformer0.1K Open Weights Cold

dreamgen/opus-v1.2-llama-3-8b is an 8 billion parameter language model from dreamgen, built on the Llama 3 architecture. It is specifically fine-tuned for steerable story-writing and role-playing tasks, excelling at generating narrative continuations and character interactions. The model also supports various writing-related tasks such as plot summarization, character description, and style description.

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Opus V1.2 Llama 3 8B Overview

This model, dreamgen/opus-v1.2-llama-3-8b, is an 8 billion parameter variant based on the Llama 3 architecture, developed by dreamgen. It is primarily designed and fine-tuned for steerable story-writing and role-playing, offering capabilities to generate dynamic and interactive narratives. The model utilizes an extended ChatML format, incorporating a text role with optional names to manage character interactions and narration within a story.

Key Capabilities

  • Steerable Story-writing and Role-playing: Generates story continuations and role-play responses based on detailed system prompts (plot, style, characters) and user instructions.
  • Story Plot Summarization: Condenses stories or chapters into concise plot descriptions of varying lengths.
  • Story Character Description: Extracts and describes specific characters from a given story.
  • Story Style Description: Analyzes and describes the writing style of a provided narrative.
  • Story Description to Chapters: Breaks down a brief plot description into individual chapter descriptions.

Training and Usage

The model was fine-tuned on approximately 100 million tokens, with examples up to 31,000 tokens long, focusing on steerable story-writing, role-playing, and general writing assistance. All story-writing and role-playing examples were derived from human-written text. For optimal performance in story-writing and role-play, dreamgen recommends using "Min P" based sampling with min_p in the range [0.01, 0.1] and temperature in [0.5, 1.5].

Important Note

Users are advised that this specific model version has known issues. dreamgen recommends using newer preview models built on Llama 3 8B Base or Llama 3 8B Instruct for improved performance and stability. Refer to the official discussion for guidance on resolving potential continuous output generation.

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