Nyanade_Stunna-Maid-7B-v0.2-GGUF-IQ-Imatrix
Maintainer: Lewdiculous
43
📶
| 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 |
Create account to get full access
Model overview
The Nyanade_Stunna-Maid-7B-v0.2-GGUF-IQ-Imatrix model is a multimodal AI model created by the maintainer Lewdiculous. It is designed for roleplay, with vision capabilities and an "unhinged" style. The model has been further developed from previous versions, with improvements to temperature, repetition, and variety. Similar models like the [object Object] and [object Object] also offer roleplay capabilities with various enhancements.
Model inputs and outputs
The Nyanade_Stunna-Maid-7B-v0.2-GGUF-IQ-Imatrix model is a multimodal AI that can handle both text and vision inputs. The text inputs can be used for roleplaying, storytelling, and general conversation. The vision capabilities allow the model to process and generate images as part of the overall interaction.
Inputs
- Text: The model can accept text inputs for conversational roleplay, storytelling, and general dialogue.
- Images: The model can also process visual inputs, allowing for multimodal interactions that incorporate both text and images.
Outputs
- Text: The model generates text outputs in response to the provided inputs, continuing the roleplay, story, or conversation.
- Images: The model can also generate relevant images, either in response to text inputs or as part of a broader multimodal exchange.
Capabilities
The Nyanade_Stunna-Maid-7B-v0.2-GGUF-IQ-Imatrix model excels at engaging in unhinged, unaligned roleplay scenarios. It can seamlessly switch between different characters and personas, maintaining coherence and variety in its responses. The model's multimodal nature allows for the incorporation of visual elements, further enhancing the immersive roleplay experience.
What can I use it for?
The Nyanade_Stunna-Maid-7B-v0.2-GGUF-IQ-Imatrix model is well-suited for creative, open-ended roleplay scenarios, where users can explore different narratives and characters. It could be used for interactive storytelling, tabletop RPG simulations, or even as a character in a virtual world or game. The model's vision capabilities also open up the possibility of incorporating visual elements into these roleplay experiences, creating a more engaging and immersive interaction.
Things to try
When using the Nyanade_Stunna-Maid-7B-v0.2-GGUF-IQ-Imatrix model, experimenting with different temperature, repetition, and variety settings can help tailor the model's responses to your preferences. The maintainer has provided specific recommendations for common GPU VRAM capacities, which can help ensure optimal performance. Exploring the model's multimodal capabilities by incorporating both text and visual inputs can also lead to interesting and unexpected results, further enhancing the roleplay experience.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
Related Models
🎯
Llama-3-Lumimaid-8B-v0.1-OAS-GGUF-IQ-Imatrix
51
The Llama-3-Lumimaid-8B-v0.1-OAS-GGUF-IQ-Imatrix model is a version of the Llama-3 language model that has been fine-tuned by the maintainer Lewdiculous. This model uses the Llama3 prompting format and has been trained on a balance of role-playing (RP) and non-RP datasets, with the goal of creating a model that is capable but not overly "horny". The model has also received the Orthogonal Activation Steering (OAS) treatment, which means it will rarely refuse any request. Model inputs and outputs The Llama-3-Lumimaid-8B-v0.1-OAS-GGUF-IQ-Imatrix model is a text-to-text model, meaning it takes text as input and generates text as output. The model can be used for a variety of natural language processing tasks, such as language generation, summarization, and translation. Inputs Text prompts Outputs Generated text based on the input prompts Capabilities The Llama-3-Lumimaid-8B-v0.1-OAS-GGUF-IQ-Imatrix model is capable of generating coherent and relevant text in response to a wide range of prompts, thanks to its training on a balance of RP and non-RP datasets. The OAS treatment also means the model is unlikely to refuse requests, making it a flexible and powerful tool for language generation tasks. What can I use it for? The Llama-3-Lumimaid-8B-v0.1-OAS-GGUF-IQ-Imatrix model can be used for a variety of applications, such as creative writing, dialogue generation, and content creation. The maintainer, Lewdiculous, has also provided some compatible SillyTavern presets and Virt's Roleplay Presets that can be used to integrate the model into various chatbot and virtual assistant applications. Things to try One interesting aspect of the Llama-3-Lumimaid-8B-v0.1-OAS-GGUF-IQ-Imatrix model is its ability to generate text that balances RP and non-RP content. Users can experiment with different prompts to see how the model responds, and explore the nuances of its language generation capabilities. Additionally, the OAS treatment means the model is unlikely to refuse requests, allowing users to push the boundaries of what the model can do.
Updated Invalid Date
🛸
L3-8B-Stheno-v3.1-GGUF-IQ-Imatrix
83
L3-8B-Stheno-v3.1-GGUF-IQ-Imatrix is an AI model created by Sao10K that is optimized for roleplay and narrative applications. It was fine-tuned from the Llama-3 language model using a mix of human-generated data and outputs from the Claude-3-Opus model. The model is designed for one-on-one roleplay scenarios, but can also handle broader narrative tasks like world-building, character development, and story writing. It has an uncensored mode that allows for more mature content during roleplay. The model's prose style and world-building capabilities have been praised by the maintainer. Model Inputs and Outputs Inputs Prompts and instructions for the model to generate text, often in a roleplay or narrative format Outputs Contextual, human-like responses in the desired roleplay or narrative style Seamless continuation of prompts and scenarios Detailed world-building and character development Capabilities L3-8B-Stheno-v3.1-GGUF-IQ-Imatrix excels at generating engaging roleplay and collaborative storytelling. It can fluidly build upon prompts, maintaining character personalities and narrative coherence. The model's uncensored mode allows it to handle more mature content when appropriate for the roleplay scenario. What Can I Use It For? This model is well-suited for tabletop roleplaying games, interactive fiction, and other narrative-focused applications. It could be used to generate NPC dialogue, world-building details, or even entire storylines for roleplaying campaigns. The model's versatility also makes it useful for creative writing, especially in genres like fantasy or science fiction. Things to Try Try using the model to generate prompts for a roleplaying scenario, then continue the narrative by building upon the model's responses. See how the model maintains character consistency and worldbuilding details over the course of an extended interaction. You could also experiment with the model's uncensored capabilities to explore more mature themes, but be mindful of the potential risks.
Updated Invalid Date
👁️
L3-8B-Stheno-v3.2-GGUF-IQ-Imatrix
80
The L3-8B-Stheno-v3.2-GGUF-IQ-Imatrix model, created by maintainer Lewdiculous, is a version of the Stheno model that has been further optimized and refined. It builds upon previous iterations like the L3-8B-Stheno-v3.1-GGUF-IQ-Imatrix and L3-8B-Stheno-v3.1 models created by Sao10K. The v3.2 version includes a mix of SFW and NSFW storywriting data, more instructional data, and other performance improvements. Model inputs and outputs The L3-8B-Stheno-v3.2-GGUF-IQ-Imatrix model is a text-to-text AI model that can generate and continue various types of text-based content. It is capable of tasks like roleplaying, storytelling, and general language understanding and generation. Inputs Text prompts and instructions Outputs Continuation of the input text Generated text in the style and tone of the prompt Responses to open-ended questions and prompts Capabilities The L3-8B-Stheno-v3.2-GGUF-IQ-Imatrix model is highly capable at roleplaying, immersing itself in character personas, and generating coherent and engaging text. It has been trained on a diverse dataset and can handle a wide range of topics and scenarios. The model has also been optimized for efficiency, offering multiple quantization options to balance quality and file size. What can I use it for? The L3-8B-Stheno-v3.2-GGUF-IQ-Imatrix model is well-suited for creative writing applications, interactive storytelling, and roleplaying scenarios. It could be used to power chatbots, text-based games, or interactive narrative experiences. The model's versatility also makes it potentially useful for general language tasks like summarization, question-answering, and content generation. Things to try Experiment with the model's roleplaying capabilities by providing detailed character descriptions and prompts. Try generating multi-turn dialogues or narratives and see how the model maintains coherence and consistency. Additionally, explore the model's performance on more instructional or task-oriented prompts to see how it adapts to different styles and genres of text.
Updated Invalid Date
🗣️
c4ai-command-r-plus-iMat.GGUF
114
The c4ai-command-r-plus.GGUF model is an open weights research release from CohereForAI that is a 104B parameter model with advanced capabilities. It is an extension of the C4AI Command R model, adding features like Retrieval Augmented Generation (RAG) and multi-step tool use. The model is multilingual, performing well in 10 languages including English, French, and Chinese. It is optimized for tasks like reasoning, summarization, and question answering. Model inputs and outputs Inputs Text**: The model takes text as input, such as questions, instructions, or conversation history. Outputs Text**: The model generates text as output, providing responses to user prompts. This can include summaries, answers to questions, or the results of multi-step tool use. Capabilities The c4ai-command-r-plus.GGUF model has several advanced capabilities. It can perform Retrieval Augmented Generation (RAG), which allows the model to generate responses grounded in relevant information from a provided set of documents. The model also has the ability to use multiple tools in sequence to accomplish complex tasks, demonstrating multi-step tool use. What can I use it for? The c4ai-command-r-plus.GGUF model can be used for a variety of applications that require advanced language understanding and generation. Some potential use cases include: Question answering**: The model can be used to provide accurate and informative answers to a wide range of questions, drawing on its large knowledge base. Summarization**: The model can generate concise and coherent summaries of long-form text, helping users quickly digest key information. Task automation**: The model's multi-step tool use capability can be leveraged to automate complex, multi-part tasks, improving productivity. Things to try One interesting aspect of the c4ai-command-r-plus.GGUF model is its ability to combine multiple tools in sequence to accomplish complex tasks. You could try providing the model with a challenging, multi-part task and observe how it uses its available tools to work towards a solution. This could reveal insights about the model's reasoning and problem-solving capabilities. Another interesting area to explore is the model's performance on multilingual tasks. Since the model is optimized for 10 languages, you could try prompting it in different languages and compare the quality of the responses. This could help you understand the model's cross-linguistic capabilities.
Updated Invalid Date