This is the quantized version of the ai-sage/GigaChat3-10B-A1.8B model, using the GGUF format and requiring support from a specific llama.cpp branch. The model adopts a Mixture of Experts architecture, with a total of approximately 11.8 billion parameters, of which approximately 1.8 billion are activated parameters.

Natural Language ProcessingGgufMultiple Languages

NVIDIA GPT-OSS-120B Eagle3 is an optimized version based on the OpenAI gpt-oss-120b model. It adopts the Mixture of Experts (MoE) architecture, with a total of 120 billion parameters and 5 billion active parameters. This model supports both commercial and non-commercial use and is suitable for text generation tasks, especially for the development of AI Agent systems, chatbots, and other applications.

Natural Language ProcessingSafetensors

LoggenixMoE133M is a lightweight Mixture of Experts (MoE) causal language model with a total of 133M parameters and 80M active parameters. This model is trained from scratch on a custom dataset containing root cause analysis, code generation, and inference tasks. It supports special tokens for agent capabilities and is suitable for deployment on edge devices and the construction of professional AI agents.

Natural Language ProcessingTransformers

Llama-4-Scout is one of the Llama 4 series models launched by Meta. It adopts a Mixture of Experts (MoE) architecture and is a native multimodal AI model that supports text and image input. It performs excellently in multilingual text understanding and visual tasks. This model has 17B parameters and 16 experts and is designed for commercial and research purposes.

MultimodalSafetensorsMultiple Languages

Citrus is a medical language model that bridges the gap between clinical expertise and AI reasoning by simulating the cognitive processes of medical experts.

Natural Language ProcessingTransformers

The Llama 4 series is a native multimodal AI model launched by Meta. It adopts the Mixture of Experts architecture, supports text and image interaction, and performs excellently in various language and visual tasks.

MultimodalTransformersMultiple Languages

The Llama 4 series is a native multimodal AI model launched by Meta, supporting text and image interaction. It adopts the Mixture of Experts architecture and performs excellently in text and image understanding.

MultimodalTransformersMultiple Languages

Llama 4 Scout is a native multimodal AI model launched by Meta, supporting multilingual text and image understanding. It adopts the Mixture of Experts architecture and has industry-leading performance in text and image understanding.

MultimodalTransformersMultiple Languages

The Llama 4 series is a multimodal AI model developed by Meta, supporting text and image interaction, utilizing a Mixture of Experts (MoE) architecture, and demonstrating leading performance in text and image comprehension.

MultimodalTransformersMultiple Languages

Llama 4 Scout is a 17-billion-parameter multimodal AI model developed by Meta, featuring a Mixture of Experts architecture with support for 12 languages and image understanding.

MultimodalTransformersMultiple Languages

Llama 4 Maverick is a native multi-modal AI model launched by Meta. It uses a mixture of experts architecture and supports text and image input, outputting multi-language text and code.

MultimodalTransformersMultiple Languages

Llama 4 Maverick is a multimodal AI model released by Meta, supporting text and image understanding. It adopts a Mixture of Experts (MoE) architecture and excels in multilingual text and code generation tasks.

MultimodalTransformersMultiple Languages

Llama 4 Maverick is a multimodal AI model developed by Meta, utilizing a Mixture of Experts architecture, supporting text and image understanding, with 17 billion active parameters and 400 billion total parameters.

MultimodalTransformersMultiple Languages

Llama 4 Maverick is a 17-billion-parameter multimodal AI model developed by Meta, featuring a Mixture of Experts (MoE) architecture, supporting multilingual text and image understanding with 128 expert modules.

MultimodalTransformersMultiple Languages

The Llama 4 series is a multimodal AI model developed by Meta, supporting text and image interactions, utilizing a Mixture of Experts (MoE) architecture, and delivering industry-leading performance in text and image comprehension.

MultimodalTransformersMultiple Languages

A Mixture of Experts model designed to serve as the soul of AI virtual anchors, combining code generation, instruction following, and multi-turn dialogue capabilities

Natural Language ProcessingSafetensorsMultiple Languages

A Mixture of Experts model based on LLama3, integrating eight 8B model versions to form a powerful 47B-parameter model, excelling in creative writing, novel creation, and role-playing, with vivid and diverse outputs that avoid AI-like patterns.

Natural Language ProcessingGgufEnglish

An experimental role-playing-oriented Mixture of Experts model, aiming to achieve performance in role-playing/emotional role-playing tasks that is comparable to or better than Mixtral 8x7B and its fine-tuned versions.

Natural Language ProcessingTransformersEnglish

This is a Mixture of Experts model obtained by merging multiple pre-trained language models using mergekit, aiming to create the most unconstrained text generation capability.

Natural Language ProcessingTransformers

Snowflake Arctic is a large language model developed by Snowflake AI Research Team, featuring a dense Mixture of Experts (MoE) architecture with 480 billion parameters, specifically designed for efficient text and code generation.

Natural Language ProcessingTransformers