ICTTGUS AI Models Library

💬

AgentricAI_LLaVa

A large language model for generating text based on user input.

• Example: Use to generate articles, blog posts, or social media content.

🧠 Language Model

🎮

Archimedes C3Dv0

A model for generating 3D models and textures.

• Example: Use to create 3D models for architectural visualization, product design, or video game development.

🎨 3D Modeling

📝

Continue-1-OSS

A language model for generating text that can be continued from a previous prompt.

• Example: Use to generate stories, dialogue, or chatbot responses.

🧠 Language Model

❤️

Empathetic-AI

A model designed to understand and respond empathetically to user input.

• Example: Use to build chatbots or virtual assistants that provide emotional support.

❤️ Mental Health

📝

Jan-nano-4b-q8

A small language model for generating text summaries.

• Example: Use to summarize long documents, articles, or web pages.

🧠 Language Model

✍️

Kaya

A model for generating text based on user input, with a focus on creative writing.

• Example: Use to generate poetry, short stories, or novel excerpts.

🧠 Language Model

⚔️

Lieutenant_Worf

A model for generating text in a specific tone and style (e.g., Star Trek-themed).

• Example: Use to generate scripts, dialogue, or even entire novels.

🧠 Language Model

🤖

LisaBot

A model designed to provide helpful and informative responses to user queries.

• Example: Use to build virtual assistants that answer frequently asked questions.

🤖 Virtual Assistant

🔍

Nanonets-OCR-s

A model for extracting text from images using optical character recognition (OCR).

• Example: Use to automate data entry, extract information from scanned documents, or analyze images of text.

🔍 OCR

📝

Nemotron-3-Nano-30B-A3B-virtuoso

A large language model for generating text that can be used in various applications.

• Example: Use to generate articles, blog posts, or social media content.

🧠 Language Model

💻

Qwen2.5-Python-Coder-1.5B

A model designed to assist with coding tasks and provide feedback on code quality.

• Example: Use to write code, debug existing code, or improve coding skills.

💻 Coding Assistant

🎓

Qwen3-PyCoder-Instruct

A model for generating instructional content related to programming.

• Example: Use to create tutorials, guides, or instructional materials for software development.

🎓 Education

⚖️

SmolLM2-FT-legal-india

A small language model designed specifically for the Indian legal industry.

• Example: Use to generate court documents, pleadings, or other legal-related text.

⚖️ Legal

🏥

Tails-Assistant-ai-v2.5.3

A model designed to provide assistance and support in various areas (e.g., healthcare, finance).

• Example: Use to build chatbots or virtual assistants that provide helpful information.

🏥 Healthcare

🔞

adult-film-screenwriter-nsfw

NSFW (Not Safe For Work) content warning; please use with discretion.

• Example: Use for generating scripts or dialogue for adult-themed films, TV shows, or other media.

🔞 NSFW Content

💼

aibrain

A model designed to provide insights and suggestions for business decision-making.

• Example: Use to generate reports, provide market analysis, or offer strategic recommendations.

💼 Business

🧠

ai2ndbrain

A model that integrates artificial intelligence with human intuition for more accurate decision-making.

• Example: Use to analyze complex data sets, identify patterns, or make predictions.

🧠 Decision Making

🏥

aiassisteddoctor

A model designed to assist medical professionals with diagnosis and treatment recommendations.

• Example: Use to generate patient reports, provide diagnostic suggestions, or recommend treatment plans.

🏥 Medical

🌐

alphansoDev

A model developed by Alphanso for various tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

📊

ankivector

A vector-based model for natural language processing (NLP) tasks such as sentiment analysis, entity recognition, and machine translation.

• Example: Use to analyze customer sentiment, identify entities in text data, or translate text between languages.

📊 NLP

❓

askai

A model designed to assist with questions and provide information on various topics.

• Example: Use to answer questions on history, science, technology, or other subjects.

❓ Q&A

⚖️

attorney

A model developed for legal professionals to assist with document review, research, and writing.

• Example: Use to generate legal documents, conduct research on relevant laws and regulations, or summarize complex legal texts.

⚖️ Legal

⚖️

attorney2

A model designed to assist attorneys with tasks such as document review, research, and writing.

• Example: Use to generate pleadings, conduct research on relevant laws and regulations, or summarize complex legal texts.

⚖️ Legal

📊

businessintelligencedeveloper

A model developed for businesses to provide insights and suggestions for process improvement and optimization.

• Example: Use to analyze business data, identify areas for improvement, or recommend process changes.

📊 Business Intelligence

💼

chiefaiofficer

A model designed to assist with leadership and management tasks such as decision-making, strategic planning, and team communication.

• Example: Use to generate reports, provide strategic recommendations, or facilitate team discussions.

💼 Leadership

💼

chiefaiofficerv2

A model developed for leadership teams to provide insights and suggestions for business strategy and growth.

• Example: Use to analyze market trends, identify opportunities for growth, or develop strategic plans.

💼 Leadership

💻

codebooga

A model designed to assist with coding tasks such as debugging, testing, and optimization.

• Example: Use to debug code, identify errors, or optimize code performance.

💻 Coding Assistant

🧠

cogito

A model developed for cognitive computing tasks such as reasoning, decision-making, and problem-solving.

• Example: Use to analyze complex data sets, identify patterns, or make predictions.

🧠 Cognitive Computing

🌐

command-r7b-arabic

A model designed to assist with natural language processing (NLP) tasks related to Arabic language, including text analysis and machine translation.

• Example: Use to analyze Arabic text data, translate Arabic text from one language to another, or summarize complex Arabic texts.

🌐 NLP

📝

contentsummarizer

A model developed for content summarization tasks such as summarizing long documents, articles, or web pages.

• Example: Use to summarize long documents, condense complex information into concise summaries, or create abstracts.

📝 Content Summarization

📊

core

A model designed to provide insights and suggestions for process improvement and optimization in various industries.

• Example: Use to analyze business data, identify areas for improvement, or recommend process changes.

📊 Process Optimization

🚨

crisisintervention

A model developed for crisis management and response tasks such as risk assessment, threat analysis, and emergency planning.

• Example: Use to assess risks, identify potential threats, or develop emergency response plans.

🚨 Crisis Management

🛡️

ctf_solver_Elona-Pro

A model designed to assist with cybersecurity tasks such as threat detection, incident response, and security analysis.

• Example: Use to detect threats, analyze malware samples, or respond to cybersecurity incidents.

🛡️ Cybersecurity

🛡️

cyberThreatsLLm

A model developed for detecting and mitigating cyber threats in various industries.

• Example: Use to detect anomalies in network traffic, identify potential threats, or recommend mitigation strategies.

🛡️ Cybersecurity

🛡️

cyberaisecurity

A model for detecting and mitigating cybersecurity threats.

• Example: Use to analyze network traffic, identify potential security risks, or recommend mitigation strategies.

🛡️ Cybersecurity

🛡️

cybersecuritythreatanalysisv2

A model developed for threat analysis and risk assessment in cybersecurity.

• Example: Use to analyze threat intelligence data, identify potential vulnerabilities, or recommend mitigation strategies.

🛡️ Cybersecurity

💻

deepseek-coder-v2-tool-calling

A model designed to assist with coding tasks such as debugging, testing, and optimization.

• Example: Use to debug code, identify errors, or optimize code performance.

💻 Coding Assistant

📊

deepseek-r1

A vector-based model for natural language processing (NLP) tasks such as sentiment analysis, entity recognition, and machine translation.

• Example: Use to analyze customer sentiment, identify entities in text data, or translate text between languages.

📊 NLP

🏥

deepseek-r1-medical

A model developed for medical applications of the deepseek-r1 vector-based model.

• Example: Use to analyze medical text data, identify relevant medical concepts, or generate medical reports.

🏥 Medical

📊

deepseek-v3.2

An updated version of the deepseek vector-based model with improved performance and capabilities.

• Example: Use to analyze large datasets, identify patterns, or make predictions.

📊 NLP

🏥

deepseek_r1_cline_roocode

A model designed for clinical coding and reimbursement tasks in healthcare.

• Example: Use to generate clinical codes, identify relevant medical concepts, or optimize reimbursement processes.

🏥 Medical

⚙️

devstral-2

A model developed for DevOps and infrastructure management tasks such as deployment, monitoring, and optimization.

• Example: Use to automate deployment processes, monitor system performance, or optimize resource allocation.

⚙️ DevOps

🏥

doctor

A model designed to assist with medical diagnosis and treatment recommendations.

• Example: Use to generate patient reports, provide diagnostic suggestions, or recommend treatment plans.

🏥 Medical

🌐

dolphin-llama3

A model developed for natural language processing (NLP) tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

🌐

dolphin-llama3-8b

An updated version of the dolphin-llama3 model with improved performance and capabilities.

• Example: Use to analyze large datasets, identify patterns, or make predictions.

🌐 Language Model

📊

dolphin-llama3.1

A model designed for specialized NLP tasks such as sentiment analysis, entity recognition, and machine translation.

• Example: Use to analyze customer sentiment, identify entities in text data, or translate text between languages.

📊 NLP

🏥

dolphin3

A model developed for clinical coding and reimbursement tasks in healthcare.

• Example: Use to generate clinical codes, identify relevant medical concepts, or optimize reimbursement processes.

🏥 Medical

災

doomsdayurvivalist

A model designed for disaster response and recovery tasks such as emergency planning, risk assessment, and resource allocation.

• Example: Use to develop emergency response plans, assess risks, or allocate resources for disaster recovery.

災 Disaster Response

🧠

emotionalintelligenceanalysis

A model developed for analyzing and improving emotional intelligence in individuals and teams.

• Example: Use to analyze emotional trends, identify areas for improvement, or provide recommendations for emotional intelligence development.

🧠 Emotional Intelligence

📝

example

A model designed to demonstrate the capabilities of LLaMA AI models.

• Example: Use to generate examples, provide demonstrations, or showcase model performance.

📝 Demonstration

📁

export_file_names.txt

An output file generated by the previous commands.

• Example: Use as a reference or import data from the file for further analysis.

📁 Data Export

🌐

falcon

A model developed for natural language processing (NLP) tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

🌐

falcon2

An updated version of the falcon model with improved performance and capabilities.

• Example: Use to analyze large datasets, identify patterns, or make predictions.

🌐 Language Model

🏥

falcon3

A model designed for clinical coding and reimbursement tasks in healthcare.

• Example: Use to generate clinical codes, identify relevant medical concepts, or optimize reimbursement processes.

🏥 Medical

📊

fara

A model developed for text analysis and processing tasks such as sentiment analysis, entity recognition, and machine translation.

• Example: Use to analyze customer sentiment, identify entities in text data, or translate text between languages.

📊 NLP

💻

functiongemma

A model designed to assist with functional programming and software development tasks.

• Example: Use to write code, debug existing code, or improve coding skills.

💻 Coding Assistant

📷

fuseo1-deepseekr1-qwq-skyt1-flash-32b-preview-q4_k_m

A model developed for deep learning-based applications such as image recognition, natural language processing, and computer vision.

• Example: Use to analyze images, identify objects, or generate visualizations.

📷 Computer Vision

🏥

gemma3

A model designed to assist with medical diagnosis and treatment recommendations.

• Example: Use to generate patient reports, provide diagnostic suggestions, or recommend treatment plans.

🏥 Medical

⚖️

gemma3-legal-translator-full

An updated version of the gemma3 model with improved performance and capabilities for legal translation tasks.

• Example: Use to translate legal documents from one language to another or analyze legal text data.

⚖️ Legal

🎨

genaiimagecsprompt

A model designed to generate prompts for image processing tasks.

• Example: Use to generate text prompts for image editing software or analyze image metadata.

🎨 Image Processing

⚖️

generalcounsel

A model developed for providing general legal counsel and advice.

• Example: Use to analyze laws and regulations, provide recommendations on compliance, or assist with contract negotiation.

⚖️ Legal

⚖️

generalcounselv2

An updated version of the generalcounsel model with improved performance and capabilities.

• Example: Use to analyze complex legal issues, provide guidance on regulatory compliance, or assist with contract drafting.

⚖️ Legal

📊

glm-4.7

A vector-based model for natural language processing (NLP) tasks such as sentiment analysis, entity recognition, and machine translation.

• Example: Use to analyze customer sentiment, identify entities in text data, or translate text between languages.

📊 NLP

📊

glm-4.7-flash

An updated version of the glm-4.7 model with improved performance and capabilities for flash-based applications.

• Example: Use to analyze large datasets, identify patterns, or make predictions.

📊 NLP

📊

glm-5

A model designed for advanced NLP tasks such as question answering, text classification, and sentiment analysis.

• Example: Use to answer complex questions, classify text data, or analyze sentiment in customer feedback.

📊 NLP

🔍

glm-ocr

A model developed for optical character recognition (OCR) tasks such as text extraction from images.

• Example: Use to extract text from scanned documents, recognize handwriting, or analyze printed text data.

🔍 OCR

🏥

gooddoctor

A model designed to provide medical diagnosis and treatment recommendations.

• Example: Use to generate patient reports, provide diagnostic suggestions, or recommend treatment plans.

🏥 Medical

🏥

gph-main

A model developed for healthcare management tasks such as patient scheduling, billing, and insurance claims.

• Example: Use to analyze patient data, identify trends, or optimize healthcare operations.

🏥 Healthcare

🌐

gpt-oss

An open-source version of the GPT model for natural language processing (NLP) tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

💻

granite-code

A model developed for software development tasks such as code completion, debugging, and optimization.

• Example: Use to write code, debug existing code, or optimize code performance.

💻 Coding Assistant

💻

granite3.1-dense-abliterated

An updated version of the granite-code model with improved performance and capabilities for dense ablation applications.

• Example: Use to analyze large datasets, identify patterns, or make predictions.

💻 Coding Assistant

💻

granite4

A model designed for advanced software development tasks such as code review, testing, and optimization.

• Example: Use to review code, test software functionality, or optimize code performance.

💻 Coding Assistant

🛡️

haven

A model developed for security and compliance tasks such as risk assessment, threat analysis, and vulnerability scanning.

• Example: Use to analyze security threats, identify vulnerabilities, or recommend mitigation strategies.

🛡️ Security

🌐

hermes

A model designed for natural language processing (NLP) tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

🏠

home-3b-v2

A model developed for home automation tasks such as smart home control, energy management, and device integration.

• Example: Use to analyze home data, identify trends, or optimize energy consumption.

🏠 Home Automation

🏠

home-3b-v3

An updated version of the home-3b-v2 model with improved performance and capabilities for advanced home automation applications.

• Example: Use to integrate devices, control smart home systems, or optimize energy efficiency.

🏠 Home Automation

🎨

imagegenaiprompter

A model designed to generate prompts for image processing tasks.

• Example: Use to generate text prompts for image editing software or analyze image metadata.

🎨 Image Processing

🏥

imnotadoctor

A model developed for medical diagnosis and treatment recommendations.

• Example: Use to generate patient reports, provide diagnostic suggestions, or recommend treatment plans.

🏥 Medical

💼

instinct

A model designed to provide insights and recommendations on various topics such as business, finance, and healthcare.

• Example: Use to analyze data, identify trends, or provide recommendations on business strategy.

💼 Business Intelligence

🌐

kimi-k2.5

A model developed for natural language processing (NLP) tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

🏥

ko-gemma-9b-it

A model designed for medical diagnosis and treatment recommendations.

• Example: Use to generate patient reports, provide diagnostic suggestions, or recommend treatment plans.

🏥 Medical

☸️

kubeai

A model developed for Kubernetes-based applications such as container orchestration, deployment, and scaling.

• Example: Use to automate Kubernetes tasks, optimize cluster performance, or analyze container logs.

☸️ Kubernetes

⚖️

law_model

A model designed for legal analysis and application of laws and regulations.

• Example: Use to analyze complex legal issues, identify relevant case law, or generate draft contracts.

⚖️ Legal

⚖️

legal-llm

An LLaMA AI model for legal applications such as text generation, language translation, and question answering.

• Example: Use to generate legal documents, translate legal text from one language to another, or answer questions on a particular topic.

⚖️ Legal

⚖️

legalsathi

A model developed for Indian legal applications such as contract drafting, document review, and dispute resolution.

• Example: Use to draft contracts, review documents for compliance with Indian laws and regulations, or analyze disputes related to business transactions.

⚖️ Legal

⚖️

leglai

A model designed for general legal application tasks such as research, analysis, and writing.

• Example: Use to research complex legal issues, analyze data, or write reports on a particular topic.

⚖️ Legal

🌐

llama-3-sauerkrautlm

A model developed for natural language processing (NLP) tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

🛡️

llama-guard3

A model designed to protect sensitive data from unauthorized access by identifying potential security threats and vulnerabilities.

• Example: Use to analyze network traffic, identify potential security risks, or recommend mitigation strategies.

🛡️ Security

💼

llama-pro

A model developed for professional services such as document review, contract drafting, and consulting.

• Example: Use to review documents, draft contracts, or provide expert advice on a particular topic.

💼 Professional Services

🌐

llama2

A model designed for natural language processing (NLP) tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

🌐

llama2-chinese

An updated version of the llama2 model with improved performance and capabilities for Chinese language applications.

• Example: Use to analyze Chinese text data, identify trends, or provide recommendations on language usage.

🌐 Language Model

📝

llama2-uncensored

A model developed for uncensored content generation in various languages, including English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, and others.

• Example: Use to generate uncensored content, such as articles, blog posts, or social media updates.

📝 Content Generation

🌐

llama3

A model designed for natural language processing (NLP) tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

🌐

llama3-abliterated

An updated version of the llama3 model with improved performance and capabilities for various NLP applications.

• Example: Use to analyze large datasets, identify patterns, or make predictions.

🌐 Language Model

💬

llama3-chatqa

A model developed for conversational AI tasks such as chatbot development, dialogue management, and natural language understanding.

• Example: Use to build conversational interfaces, manage user conversations, or provide customer support.

💬 Conversational AI

📈

llama3-gradient

A model designed for gradient-based optimization in various machine learning applications, including image recognition, natural language processing, and recommender systems.

• Example: Use to optimize neural networks, identify patterns, or improve the performance of existing models.

📈 Optimization

💻

llama3-groq-tool-use

A model developed for Groq's AI-powered tooling platform, enabling developers to build, deploy, and manage AI models more efficiently.

• Example: Use to automate AI development tasks, optimize deployment processes, or analyze model performance.

💻 AI Development

🌐

llama3.1

An updated version of the llama3 model with improved performance and capabilities for various NLP applications.

• Example: Use to analyze large datasets, identify patterns, or make predictions.

🌐 Language Model

🌐

llama3.2

A model designed for natural language processing (NLP) tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

📷

llama3.2-vision

An updated version of the llama3.2 model with improved performance and capabilities for computer vision applications such as image recognition and object detection.

• Example: Use to analyze images, identify objects, or generate visualizations.

📷 Computer Vision

📊

llama3.3

A model designed for advanced NLP tasks such as question answering, text classification, and sentiment analysis.

• Example: Use to answer complex questions, classify text data, or analyze sentiment in customer feedback.

📊 NLP

🧪

llama3chem

A model developed for chemical processing applications such as molecular modeling, materials science, and predictive analytics.

• Example: Use to predict chemical properties, identify potential hazards, or develop new materials.

🧪 Chemistry

🧪

llama3chem30

An updated version of the llama3chem model with improved performance and capabilities for advanced chemical processing tasks.

• Example: Use to analyze large datasets, identify patterns, or make predictions in chemical science.

🧪 Chemistry

🎥

llava

A model developed for video analysis and content generation tasks such as video captioning, object detection, and facial recognition.

• Example: Use to generate video captions, detect objects in videos, or analyze facial features.

🎥 Video Analysis

🌐

llama-llama3

A model designed for natural language processing (NLP) tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

🎥

llava_next_video

A model developed for video analysis and content generation tasks such as video recommendation, sentiment analysis, and video classification.

• Example: Use to recommend videos based on user preferences, analyze the sentiment of video content, or classify videos into categories.

🎥 Video Analysis

🏥

marco-o1

A model designed for medical diagnosis and treatment recommendations.

• Example: Use to generate patient reports, provide diagnostic suggestions, or recommend treatment plans.

🏥 Medical

🔢

mathstral

A model developed for mathematical modeling and optimization tasks such as linear algebra, calculus, and differential equations.

• Example: Use to solve systems of linear equations, optimize functions, or analyze differential equations.

🔢 Mathematics

🏥

medgemma

A model designed for medical diagnosis and treatment recommendations.

• Example: Use to generate patient reports, provide diagnostic suggestions, or recommend treatment plans.

🏥 Medical

🏥

medgemma3

An updated version of the medgemma model with improved performance and capabilities for medical applications.

• Example: Use to analyze large datasets, identify patterns, or make predictions in medical science.

🏥 Medical

🏥

meditron

A model developed for medical diagnosis and treatment recommendations.

• Example: Use to generate patient reports, provide diagnostic suggestions, or recommend treatment plans.

🏥 Medical

🏥

medix-ph

A model designed for medical imaging analysis tasks such as image segmentation, object detection, and disease diagnosis.

• Example: Use to segment medical images, detect objects in images, or diagnose diseases based on medical images.

🏥 Medical Imaging

🏥

medllama2

A model developed for medical applications of the LLaMA AI models.

• Example: Use to analyze medical text data, identify relevant medical concepts, or generate medical reports.

🏥 Medical

🧠

mentalhealth_model

A model designed to provide insights and recommendations on mental health and wellness tasks such as stress analysis, mood tracking, and emotional intelligence.

• Example: Use to analyze user stress levels, track mood changes over time, or provide emotional intelligence training.

🧠 Mental Health

❤️

mentalhealthadviser

A model developed for providing mental health advice and support tasks such as counseling, therapy, and crisis intervention.

• Example: Use to provide counseling services, recommend therapy sessions, or respond to crisis situations.

❤️ Mental Health

🧠

mentallama2

A model designed for mental health applications of the LLaMA AI models.

• Example: Use to analyze user data, identify trends in mental health, or provide recommendations for mental wellness.

🧠 Mental Health

🧘

mentalwellness

A model developed for promoting mental wellness and reducing stress tasks such as mindfulness training, meditation, and relaxation techniques.

• Example: Use to generate mindfulness exercises, recommend meditation sessions, or provide relaxation techniques for users.

🧘 Mental Health

📱

mesugaki

A model designed for social media analysis tasks such as sentiment analysis, trend identification, and content recommendation.

• Example: Use to analyze user sentiment on social media, identify trends in user behavior, or recommend content to users.

📱 Social Media

🧠

mindpal

A model developed for mental health applications of the LLaMA AI models.

• Example: Use to provide personalized recommendations for stress management, anxiety reduction, or emotional intelligence development.

🧠 Mental Health

🧘

mindwell

A model designed for promoting mental wellness and reducing stress tasks such as mindfulness training, meditation, and relaxation techniques.

• Example: Use to generate mindfulness exercises, recommend meditation sessions, or provide relaxation techniques for users.

🧘 Mental Health

⚙️

minimax-m2.5

A model developed for optimization tasks in machine learning applications such as neural networks, linear regression, and classification.

• Example: Use to optimize neural network performance, minimize error rates in classification tasks, or improve the efficiency of linear regression models.

⚙️ Optimization

⚙️

ministral-8b-instruct-2410

An updated version of the minimax-m2.5 model with improved performance and capabilities for optimization tasks.

• Example: Use to optimize neural networks, minimize error rates in classification tasks, or improve the efficiency of linear regression models.

⚙️ Optimization

🌐

mistral

A model developed for natural language processing (NLP) tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

🌐

mistral-nemo

An updated version of the mistral model with improved performance and capabilities for NLP applications.

• Example: Use to analyze large datasets, identify patterns, or make predictions in natural language processing tasks.

🌐 Language Model

📦

mixtral

A model developed for mixed-integer linear programming (MILP) optimization tasks such as resource allocation, supply chain management, and logistics planning.

• Example: Use to optimize resource allocation, manage supply chains, or plan logistics operations.

📦 Optimization

🤖

mlewd-v2.4

An updated version of the mlewd model with improved performance and capabilities for machine learning applications.

• Example: Use to analyze large datasets, identify patterns, or make predictions in machine learning tasks.

🤖 Machine Learning

🌐

nemotron-3-nano

A model developed for natural language processing (NLP) tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

💬

neural-chat

A model designed for conversational AI tasks such as chatbot development, dialogue management, and natural language understanding.

• Example: Use to build conversational interfaces, manage user conversations, or provide customer support.

💬 Conversational AI

⚛️

nextjs14

An updated version of the Next.js framework with improved performance and capabilities for building web applications using React.

• Example: Use to build web applications, generate API documentation, or optimize website performance.

⚛️ Web Development

📊

notus

A model developed for text analysis and processing tasks such as sentiment analysis, entity recognition, and machine translation.

• Example: Use to analyze customer sentiment, identify entities in text data, or translate text between languages.

📊 NLP

🌐

nous-hermes

A model designed for natural language processing (NLP) tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

📊

open-orca-platypus2

A model developed for AI-powered analytics and data science tasks such as data visualization, predictive modeling, and machine learning.

• Example: Use to analyze large datasets, identify patterns, or make predictions in data science applications.

📊 Data Science

💬

openchat

A model designed for chatbot development and conversational AI tasks such as text generation, language translation, and sentiment analysis.

• Example: Use to build conversational interfaces, manage user conversations, or provide customer support.

💬 Conversational AI

⚙️

openclaw-oss-20b-deterministic

An updated version of the OpenCLAW model with improved performance and capabilities for deterministic computing applications.

• Example: Use to optimize software performance, analyze large datasets, or make predictions in deterministic computing tasks.

⚙️ Computing

⚙️

openclaw-qwen3vl-8b-opt

A model developed for optimization tasks in machine learning applications such as neural networks, linear regression, and classification.

• Example: Use to optimize neural network performance, minimize error rates in classification tasks, or improve the efficiency of linear regression models.

⚙️ Optimization

🔒

opencoder

A model designed for encryption and decryption tasks such as secure communication, data protection, and security analysis.

• Example: Use to encrypt sensitive data, decrypt encrypted data, or analyze security vulnerabilities in cryptographic protocols.

🔒 Security

📝

paperwriter

A model developed for writing and content generation tasks such as article writing, blog posts, and social media updates.

• Example: Use to generate articles, write blog posts, or create social media updates on a particular topic.

📝 Content Generation

🏥

phi4

A model designed for medical diagnosis and treatment recommendations.

• Example: Use to generate patient reports, provide diagnostic suggestions, or recommend treatment plans.

🏥 Medical

🏥

phi4-mini

An updated version of the phi4 model with improved performance and capabilities for medical applications.

• Example: Use to analyze large datasets, identify patterns, or make predictions in medical science.

🏥 Medical

💻

pyhtonappbuilder

A model developed for web application development tasks such as API design, front-end development, and back-end programming.

• Example: Use to build web applications, generate API documentation, or optimize website performance.

💻 Web Development

💻

pythoncoder

A model designed for coding and programming tasks such as code completion, debugging, and optimization.

• Example: Use to write code, debug existing code, or optimize code performance.

💻 Coding Assistant

💻

pythoncoderv2

An updated version of the Python coder model with improved performance and capabilities for coding applications.

• Example: Use to analyze large datasets, identify patterns, or make predictions in coding tasks.

💻 Coding Assistant

🤖

qwen-agentic

A model developed for agent-based modeling and simulation tasks such as predictive analytics, decision-making, and optimization.

• Example: Use to build agent-based models, simulate complex systems, or optimize decision-making processes.

🤖 Agent-based Modeling

🔢

qwen2-math

A model designed for mathematical modeling and optimization tasks such as linear algebra, calculus, and differential equations.

• Example: Use to solve systems of linear equations, optimize functions, or analyze differential equations.

🔢 Mathematics

🔞

qwen2.5-1.5B-goonsai-nsfw-10k

An updated version of the Qwen 2 model with improved performance and capabilities for NSFW (Not Safe For Work) content generation.

• Example: Use to generate NSFW content, such as adult-themed articles or social media updates.

🔞 NSFW Content

🔞

qwen2.5-3B-goonsai-nsfw-100k

A model developed for large-scale NSFW content generation tasks such as generating hundreds of thousands of words in a single pass.

• Example: Use to generate massive amounts of NSFW content, such as adult-themed articles or social media updates.

🔞 NSFW Content

🌐

qwen2.5vl

An updated version of the Qwen 2 model with improved performance and capabilities for virtual language understanding tasks.

• Example: Use to analyze large datasets, identify patterns, or make predictions in virtual language understanding applications.

🌐 Language Model

📊

qwen3

A model designed for advanced NLP tasks such as text classification, sentiment analysis, and machine translation.

• Example: Use to classify text data, analyze sentiment, or translate text between languages.

📊 NLP

💻

qwen3-coder

An updated version of the Qwen 3 model with improved performance and capabilities for coding applications.

• Example: Use to write code, debug existing code, or optimize code performance.

💻 Coding Assistant

💻

qwen3-coder-next

A model developed for next-generation coding tasks such as AI-assisted coding, automated testing, and continuous integration.

• Example: Use to automate coding tasks, generate test cases, or integrate code changes into a repository.

💻 Coding Assistant

🌐

qwen3-vl

A model designed for advanced virtual language understanding tasks such as text classification, sentiment analysis, and machine translation.

• Example: Use to classify text data, analyze sentiment, or translate text between languages.

🌐 Language Model

🎓

saul-instruct-v1

A model designed to provide instructional content in various domains such as business, finance, and healthcare.

• Example: Use to generate instructional materials, create training programs, or provide guidance on best practices.

🎓 Education

🏥

simpledoctor

A model developed for medical diagnosis and treatment recommendations.

• Example: Use to generate patient reports, provide diagnostic suggestions, or recommend treatment plans.

🏥 Medical

🌐

skywork-o1-abliterated

An updated version of the SkyWork model with improved performance and capabilities for natural language processing tasks such as text classification, sentiment analysis, and machine translation.

• Example: Use to classify text data, analyze sentiment, or translate text between languages.

🌐 Language Model

🏥

stablelm-zephyr

A model designed for medical applications of the LLaMA AI models, including predictive modeling, decision-making, and optimization.

• Example: Use to predict patient outcomes, make decisions based on clinical evidence, or optimize treatment plans.

🏥 Medical

🏥

stablelm2

An updated version of the StableLM model with improved performance and capabilities for medical applications.

• Example: Use to analyze large datasets, identify patterns, or make predictions in medical science.

🏥 Medical

🌐

starling-lm

A model developed for natural language processing tasks such as text generation, language translation, and question answering.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

🧠

stressmoodmentalhealthsupport

A model designed to provide mental health support and resources, including stress analysis, mood tracking, and emotional intelligence.

• Example: Use to analyze user stress levels, track mood changes over time, or provide emotional intelligence training.

🧠 Mental Health

🏥

teecue

A model designed to provide medical diagnosis and treatment recommendations, including predictive modeling, decision-making, and optimization.

• Example: Use to predict patient outcomes, make decisions based on clinical evidence, or optimize treatment plans.

🏥 Medical

❤️

therapist-llama3.1

A model designed to provide therapeutic support and resources, including counseling, therapy, and crisis intervention.

• Example: Use to provide counseling services, recommend therapy sessions, or respond to crisis situations.

❤️ Mental Health

📊

tinydolphin

A model developed for natural language processing tasks such as text classification, sentiment analysis, and machine translation.

• Example: Use to classify text data, analyze sentiment, or translate text between languages.

📊 NLP

🌐

tinyllama

An updated version of the TinyLlama model with improved performance and capabilities for natural language processing tasks.

• Example: Use to generate articles, translate text from one language to another, or answer questions on a particular topic.

🌐 Language Model

⚖️

tng-ai-legal-v3-model

A model designed for legal applications such as contract drafting, document review, and dispute resolution.

• Example: Use to analyze contracts, identify potential disputes, or recommend mitigation strategies.

⚖️ Legal

⚖️

tng-ai-legal-v3-model-q8

An updated version of the TNG-AI Legal Model with improved performance and capabilities for legal applications.

• Example: Use to analyze complex legal issues, provide recommendations on compliance, or assist with contract drafting.

⚖️ Legal

🌐

translategemma

A model developed for language translation tasks such as text translation, speech recognition, and machine learning.

• Example: Use to translate text from one language to another, recognize spoken words, or improve the performance of machine learning models.

🌐 Translation

📊

tulu3

A model designed for natural language processing tasks such as text classification, sentiment analysis, and machine translation.

• Example: Use to classify text data, analyze sentiment, or translate text between languages.

📊 NLP

🐾

veterinarian

A model designed to provide medical diagnosis and treatment recommendations for animals.

• Example: Use to generate patient reports, provide diagnostic suggestions, or recommend treatment plans for animal patients.

🐾 Veterinary

🌐

vicuna

A model developed for natural language processing tasks such as text classification, sentiment analysis, and machine translation.

• Example: Use to classify text data, analyze sentiment, or translate text between languages.

🌐 NLP

🎥

video-llava

A model designed to generate videos with accompanying audio, including speech-to-text functionality.

• Example: Use to create training videos, generate captions for videos, or provide subtitles for videos.

🎥 Video Generation

🏥

virtualdoctor

A model developed for telemedicine applications, providing virtual consultations and diagnoses.

• Example: Use to analyze patient data, provide diagnostic suggestions, or recommend treatment plans remotely.

🏥 Medical

🛡️

wazuh-llama-3.1-8B-base

An updated version of the Wazuh Llama Model with improved performance and capabilities for security and compliance tasks.

• Example: Use to analyze security threats, identify vulnerabilities, or optimize security protocols.

🛡️ Security

🛡️

wazuh-llama-3.1-8B-v1

A model designed for advanced security and compliance tasks such as threat analysis, incident response, and vulnerability scanning.

• Example: Use to analyze network traffic, identify potential security risks, or recommend mitigation strategies.

🛡️ Security

🔮

what-the-sigma

A model developed for predictive modeling and decision-making in various domains such as finance, healthcare, and marketing.

• Example: Use to predict customer churn, identify high-risk patients, or optimize marketing campaigns.

🔮 Predictive Analytics

🌐

whiterabbitv2

A model designed for natural language processing tasks such as text classification, sentiment analysis, and machine translation.

• Example: Use to classify text data, analyze sentiment, or translate text between languages.

🌐 NLP

📝

wizard-vicuna-uncensored

A model developed for uncensored content generation in various domains such as creative writing, music, and art.

• Example: Use to generate uncensored creative content, such as stories, poems, or songs.

📝 Content Generation

🌐

wizardlm

A model designed for natural language processing tasks such as text classification, sentiment analysis, and machine translation.

• Example: Use to classify text data, analyze sentiment, or translate text between languages.

🌐 NLP

🌐

wizardlm2

An updated version of the Wizard LLaMA Model with improved performance and capabilities for advanced NLP applications.

• Example: Use to analyze large datasets, identify patterns, or make predictions in natural language processing tasks.

🌐 Language Model