Hebrew_Nemo is a large language model focused on Hebrew processing. It has undergone instruction fine-tuning and supports text generation and dialogue interaction. This version is the GGUF quantized version of the original model, offering multiple quantization levels.

Natural Language ProcessingTransformersMultiple Languages

ArcMind is a next - generation dialogue model developed by ArcDevs, focusing on natural interaction, adaptive intelligence, and context precision, aiming to provide users with a seamless, human - like dialogue experience.

Natural Language ProcessingTransformersEnglish

This is a GGUF quantized version converted from the driaforall/mem-agent model, using the Q4_K_M quantization level. This model focuses on the memory agent function and can process and recall a large amount of context information. It is suitable for dialogue and task processing scenarios that require long-term memory capabilities.

Natural Language ProcessingGguf

This is an 8-bit quantized MLX format version converted from the NousResearch/Hermes-4-14B model, specifically optimized for Apple Silicon, supporting efficient local inference. This model is a large language model with 14 billion parameters, focusing on instruction following, reasoning, and dialogue tasks.

Natural Language ProcessingMlxEnglish

Rewiz-Tom-7B is a 7-billion parameter model fine-tuned based on Tom-Qwen-7B-Instruct, focusing on inference tasks and suitable for scenarios such as dialogue and brainstorming.

Natural Language ProcessingPeftEnglish

A 7-billion parameter model fine-tuned based on Qwen/Qwen2.5-7B-Instruct, focusing on step-by-step instruction execution and dialogue tasks.

Natural Language ProcessingPeftEnglish

This is a dialogue model focused on the medical field, with special emphasis on integrated Chinese and Western medicine diagnosis and treatment recommendations.

Natural Language ProcessingGgufMultiple Languages

The first model in SmilyAI's Reasoning-S series, focusing on integrating reasoning capabilities, identity traits, and personality characteristics into open-domain dialogue agents

Natural Language ProcessingTransformersEnglish

Llama-3.1-Nemotron-Nano-4B-v1.1 is a compressed and optimized large language model based on Llama 3.1, focusing on inference and dialogue tasks, supporting 128K context length, and compatible with a single RTX GPU.

Natural Language ProcessingTransformersEnglish

Veritas-12B is a 12-billion-parameter large language model focused on philosophical reasoning and logical analysis, excelling in handling complex ethical dilemmas and philosophical dialogues.

Natural Language ProcessingGgufEnglish

xLAM-2 is a series of large action models developed by Salesforce, focusing on multi-turn dialogue and function calling capabilities, serving as the core component of AI agents.

Natural Language ProcessingTransformersEnglish

This is a hybrid model based on the merging of multiple high-quality models, focusing on Chinese text generation and dialogue tasks.

Natural Language ProcessingTransformers

Shisa V2 is a Japanese-English bilingual general-purpose dialogue model developed by Shisa.AI, focusing on improving performance in Japanese tasks while maintaining strong English capabilities.

Natural Language ProcessingTransformersMultiple Languages

An enhanced version of the Qwen2.5-14B model fused using the TIES method, focusing on instruction following and dialogue optimization

Natural Language ProcessingTransformers

xLAM-2-3b-fc-r is a large action model with 3B parameters launched by Salesforce, focusing on transforming user intentions into executable actions and performing excellently in multi-round dialogue and tool usage.

Natural Language ProcessingTransformersEnglish

xLAM-2 is Salesforce's next-generation large action model, focusing on multi-turn dialogue and function calling capabilities, capable of translating user intent into executable actions, serving as the core component of AI agents.

Natural Language ProcessingTransformersEnglish

Q-SiT Mini is a lightweight image quality assessment and dialogue model, focusing on image quality analysis and scoring.

MultimodalTransformers

Yuna Ai V4 is a multilingual text generation model based on the LLaMA 3.1 8B architecture, focusing on providing intelligent dialogue and knowledge Q&A experiences. After training with over 3B tokens, it has advanced features such as quantum thinking and performs outstandingly in dialogue ability and creativity.

Natural Language ProcessingGgufMultiple Languages

A 70B-parameter large language model based on the Llama 3.3 architecture, integrating features from multiple excellent models, focusing on storytelling, scene description, and dialogue interaction capabilities.

Natural Language ProcessingTransformers

Apollo is a series of large multimodal models focused on video understanding, excelling in processing up to one-hour-long video content, supporting complex video QA and multi-turn dialogues.

MultimodalTransformersEnglish