L3-8B-Stheno-v3.3-32K
Maintainer: Sao10K
46
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The L3-8B-Stheno-v3.3-32K is a language model developed by Sao10K and trained with compute from Backyard.ai. It is an iterative improvement over previous versions of the Stheno model, with a focus on enhancing roleplaying capabilities, creative writing, and overall coherency. Compared to the earlier Stheno-v3.1 and Stheno-v3.2 models, this version integrates more training data and fine-tuning to address issues with long-context understanding and reasoning.
Model inputs and outputs
The L3-8B-Stheno-v3.3-32K is a text-to-text model, meaning it takes in textual prompts and generates textual responses.
Inputs
- Textual prompts, including instructions, conversations, or creative writing scenarios
Outputs
- Coherent and contextually relevant textual responses, ranging from roleplay dialogue to narrative storytelling
Capabilities
The L3-8B-Stheno-v3.3-32K excels at roleplaying and creative writing tasks, showcasing strong language generation capabilities and the ability to maintain consistent characterization over extended exchanges. While it has some limitations in long-form reasoning, the model performs well on many common language tasks and can be a valuable tool for interactive storytelling, collaborative worldbuilding, and other applications requiring flexible and imaginative text generation.
What can I use it for?
The L3-8B-Stheno-v3.3-32K model can be a useful asset for a variety of creative and interactive applications, such as:
- Roleplaying and interactive storytelling: The model's strong grasp of character, tone, and narrative can make it a compelling partner for one-on-one roleplaying scenarios or collaborative worldbuilding exercises.
- Creative writing and ideation: The model's generative capabilities can help spark new ideas, flesh out plot lines, or explore creative writing prompts.
- Conversational AI assistants: With its ability to understand context and generate coherent responses, the model could be integrated into chatbots or virtual assistants for more natural and engaging interactions.
Things to try
One interesting aspect of the L3-8B-Stheno-v3.3-32K model is its sensitivity to prompt formatting and the inclusion of contextual information. By providing the model with detailed character profiles, setting details, or task-specific instructions, users can guide the model's responses and leverage its strengths in areas like roleplaying and creative writing. Experimenting with different prompting strategies and fine-tuning the model's sampling parameters can help unlock its full potential for various applications.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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L3-8B-Stheno-v3.1
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The Llama-3-8B-Stheno-v3.1 model is an experimental roleplay-focused model created by Sao10K. It was fine-tuned using outputs from the Claude-3-Opus model along with human-generated data, with the goal of being well-suited for one-on-one roleplay scenarios, RPGs, and creative writing. Compared to the original LLaMA-3 model, this version has been optimized for roleplay use cases. The model is known as L3-RP-v2.1 on the Chaiverse platform, where it performed well with an Elo rating over 1200. Sao10K notes that the model handles character personalities effectively for one-on-one roleplay sessions, but may require some additional context and examples when used for more broad narrative or RPG scenarios. The model leans toward NSFW content, so users should explicitly indicate if they want to avoid that in their prompts. Model inputs and outputs Inputs Textual prompts for chatting, roleplaying, or creative writing Outputs Textual responses generated by the model to continue the conversation or narrative Capabilities The Llama-3-8B-Stheno-v3.1 model excels at immersive one-on-one roleplaying, with the ability to maintain consistent character personalities and flowing prose. It can handle a variety of roleplay scenarios, from fantasy RPGs to more intimate interpersonal interactions. The model also demonstrates creativity in its narrative outputs, making it well-suited for collaborative storytelling and worldbuilding. What can I use it for? This model would be well-suited for applications focused on interactive roleplay and creative writing. Game developers could leverage it to power NPCs and interactive storytelling in RPGs or narrative-driven games. Writers could use it to aid in collaborative worldbuilding and character development for their stories. The model's uncensored nature also makes it potentially useful for adult-oriented roleplaying and creative content, though users should be mindful of potential risks and legal considerations. Things to try Try using the model to engage in open-ended roleplaying scenarios, either one-on-one or in a group setting. Experiment with providing it with detailed character backstories and see how it responds, maintaining consistent personalities and personalities. You could also challenge the model with more complex narrative prompts, such as worldbuilding exercises or branching storylines, to explore its creative writing capabilities.
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Llama-3.1-8B-Stheno-v3.4
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The Llama-3.1-8B-Stheno-v3.4 model is a text generation AI model created by the maintainer Sao10K. This model has gone through a multi-stage finetuning process, first on a multi-turn Conversational-Instruct dataset, and then on Creative Writing and Roleplay datasets. The model is built on top of the Llama 3.1 base model and has a distinctive style compared to previous Stheno versions. Similar models created by Sao10K include the L3-8B-Stheno-v3.1, L3-8B-Stheno-v3.3-32K, and L3-8B-Stheno-v3.2. These models share similar training approaches and capabilities, with variations in the datasets used and the overall model size. Model inputs and outputs Inputs The model accepts text inputs in a specific format, using the "L3 Instruct Formatting - Euryale 2.1 Preset" for best results. Prompts should be formatted with temperature and min_p parameters, typically in the range of 1.4 temperature and 0.2 min_p. Outputs The model generates text responses based on the input prompt, with a distinctive style and personality compared to previous Stheno versions. The outputs can vary in length and tone, with the model demonstrating good multi-turn coherency and the ability to handle a range of scenarios, from roleplaying to creative writing. Capabilities The Llama-3.1-8B-Stheno-v3.4 model excels at text generation tasks that require a blend of instruction following, creativity, and personality. It can handle multi-turn conversations, engage in roleplay scenarios, and produce coherent and varied creative writing. The model has been trained to have a strong adherence to system prompts and to demonstrate good reasoning and spatial awareness capabilities. What can I use it for? The Llama-3.1-8B-Stheno-v3.4 model can be a valuable tool for a variety of text-based applications, such as interactive storytelling, creative writing assistants, and roleplaying chatbots. Its strong adherence to system prompts and ability to handle multi-turn interactions make it well-suited for use in virtual assistant or conversational AI applications. Additionally, the model's emphasis on creativity and personality could make it useful in entertainment or artistic applications, such as generating unique and engaging narrative content. Things to try One interesting aspect of the Llama-3.1-8B-Stheno-v3.4 model is its ability to generate varied and unique responses when prompted with the same input. By leveraging this feature, users can experiment with regenerating responses to see how the model's outputs evolve and change based on factors like temperature or repetition penalty. Additionally, exploring the model's capabilities in specific scenarios, such as roleplaying or creative writing tasks, can help uncover its strengths and potential use cases.
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L3-8B-Stheno-v3.2
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The L3-8B-Stheno-v3.2 is an experimental AI model created by Sao10K that is designed for immersive roleplaying and creative writing tasks. It builds upon previous versions of the Stheno model, with updates to the training data, hyperparameters, and overall performance. Compared to the similar L3-8B-Stheno-v3.1 model, v3.2 incorporates a mix of SFW and NSFW writing samples, more instruction/assistant-style data, and improved coherency and prompt adherence. The L3-8B-Stheno-v3.1-GGUF-IQ-Imatrix variant also offers quantized versions for lower VRAM requirements. Another related model, the Fimbulvetr-11B-v2 from Sao10K, is a solar-based model focused on high-quality 3D renders and visual art generation. Model inputs and outputs The L3-8B-Stheno-v3.2 model is a text-to-text generation model designed for interactive roleplaying and creative writing tasks. It takes in prompts, system instructions, and user inputs, and generates relevant responses and story continuations. Inputs Prompts**: Short text descriptions or instructions that set the context for the model's response System instructions**: Guidelines for the model's persona and expected behavior, such as roleplaying a specific character User inputs**: Conversational messages or story continuations provided by the human user Outputs Narrative responses**: Creative, coherent text continuations that advance the story or conversation Character dialogue**: Believable, in-character responses that maintain the model's persona Descriptive details**: Vivid, immersive descriptions of scenes, characters, and actions Capabilities The L3-8B-Stheno-v3.2 model excels at open-ended roleplaying and storytelling tasks. It is capable of handling a wide range of scenarios, from fantastical adventures to intimate character interactions. The model maintains a strong sense of character and can fluidly continue a narrative, adapting to the user's prompts and inputs. Compared to earlier versions, v3.2 demonstrates improved handling of NSFW content, better assistant-style task performance, and enhanced multi-turn coherency. The model is also more adept at following prompts and instructions while still retaining its creative flair. What can I use it for? The L3-8B-Stheno-v3.2 model is well-suited for a variety of interactive, text-based experiences. Some potential use cases include: Roleplaying games**: The model can serve as an interactive roleplaying partner, responding to user prompts and advancing the story in real-time. Creative writing collaborations**: Users can work with the model to co-create engaging narratives, with the model generating compelling continuations and descriptive details. Conversational AI assistants**: The model's ability to maintain character and engage in natural dialogue makes it a potential candidate for more advanced AI assistants. Things to try One interesting aspect of the L3-8B-Stheno-v3.2 model is its ability to handle a mix of SFW and NSFW content. Users can experiment with prompts that explore the model's range, testing its capabilities in both tasteful, family-friendly scenarios as well as more mature, adult-oriented situations. Another avenue to explore is the model's performance on assistant-style tasks, such as answering questions, providing explanations, or offering advice. Users can try crafting prompts that challenge the model to demonstrate its knowledge and problem-solving skills in a more practical, non-fiction oriented context. Overall, the L3-8B-Stheno-v3.2 model offers a versatile and engaging platform for immersive text-based experiences. Its combination of creative storytelling and adaptable conversational abilities make it a promising tool for a variety of applications.
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The superhot-13b-8k-no-rlhf-test model, developed by kaiokendev, is a second prototype of the SuperHOT language model. It features a 13B parameter size and an increased context length of up to 8K tokens, without the use of Reinforcement Learning from Human Feedback (RLHF). This model builds upon the techniques described in kaiokendev's blog post to extend the context length beyond the typical 2K-4K range. Similar models include the Pygmalion-13B-SuperHOT-8K-GPTQ and the Wizard-Vicuna-13B-Uncensored-SuperHOT-8K-GPTQ, both of which incorporate the SuperHOT techniques to increase the context length. Model inputs and outputs Inputs Text prompts of up to 8192 tokens Outputs Continuation of the input text, with the model generating new text based on the provided context Capabilities The superhot-13b-8k-no-rlhf-test model is capable of generating text with an extended context length of up to 8192 tokens. This allows the model to maintain coherence and consistency over longer passages of text, making it suitable for tasks that require understanding and generating content over multiple paragraphs or pages. What can I use it for? The extended context length of this model makes it well-suited for applications that require generating long-form content, such as creative writing, article generation, or summarization. The lack of RLHF means the model may be less constrained in its outputs, potentially allowing for more diverse and experimental content generation. Things to try One key aspect to explore with this model is the impact of the extended context length on the generated text. You can experiment with prompts that span multiple paragraphs or pages to see how the model maintains coherence and consistency over longer passages. Additionally, you can try comparing the outputs of this model to those of models with more typical context lengths to understand the differences in the generated content.
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