This is a text-to-video generation model that converts the hlwang06/HoloCine model to the GGUF format. It supports generating video content based on text descriptions and uses the Apache-2.0 license.

MultimodalGguf

DreamOmni2-GGUF is an image-to-image model that converts the xiabs/DreamOmni2-7.6B model to the GGUF format. It supports multimodal instruction editing and generation and follows the Apache-2.0 license.

MultimodalGguf

This is a 4-bit quantized large language model based on the MLX framework, developed by the Swiss Artificial Intelligence Research Institute. It supports multilingual text generation tasks and is released under the Apache-2.0 license.

Natural Language ProcessingMlxOther

Seed-OSS-36B-Instruct is a large language model with 36 billion parameters developed by ByteDance and is open-sourced under the Apache-2.0 license. This model is specifically optimized for instruction following tasks, supporting text generation and dialogue functions, and has powerful understanding and generation capabilities.

Natural Language ProcessingGguf

Seed-OSS-36B-Instruct is a text generation model developed by ByteDance. It is based on a large language model architecture with a 36B parameter scale and is specifically optimized for instruction-following tasks. This model supports both English and Chinese and uses the Apache-2.0 open-source license. It can be efficiently deployed through the vllm and mlx inference frameworks.

Natural Language ProcessingMlxMultiple Languages

Qwen-Image is a multimodal vision-language model based on the Qwen architecture. It supports text-to-image generation tasks and is converted to the GGUF format for use in ComfyUI. It retains the Apache-2.0 license and usage restrictions of the original model.

MultimodalGgufMultiple Languages

ERNIE-4.5-21B-A3B is a large language model developed by Baidu. It has been optimized with 4-bit quantization by the LM Studio team using the MLX framework, specifically optimized for Apple chips. This model has 21 billion parameters, supports Chinese and English, and uses the Apache-2.0 open-source license.

Natural Language ProcessingTransformersMultiple Languages

A version fine-tuned on the MATH dataset based on Qwen2.5-3B using the intuitor fine-tuning method, focusing on mathematical reasoning and text generation tasks, and licensed under the apache-2.0 license.

Natural Language ProcessingSafetensorsEnglish

RWKV-7 is a new generation of language models based on the RNN architecture, combining the efficiency of RNN and the expressiveness of Transformer. This series includes versions with different parameter scales, supporting long-context text generation tasks, and adopting the Apache-2.0 open-source license.

Natural Language ProcessingGguf

An image-to-text model licensed under Apache-2.0, capable of extracting text information from images and converting it into editable text format.

MultimodalGguf

An open-source image segmentation model under the Apache-2.0 license, suitable for various image segmentation tasks.

A large language model based on 12B parameters, supporting text generation tasks, released under the Apache-2.0 license.

Natural Language ProcessingGguf

This is a text-to-speech model based on the Apache-2.0 license, supporting English language processing.

Audio ProcessingSafetensorsEnglish

This is a Vietnamese text ranking model based on the Apache-2.0 license, primarily used for Vietnamese text ranking tasks.

Natural Language ProcessingSafetensorsOther

This is the GGUF quantized version of the prithivMLmods/Reasoning-SmolLM2-135M model, a small language model specifically optimized for inference tasks, with 135 million parameters, and released under the Apache-2.0 license.

Natural Language ProcessingTransformersEnglish

This is an image classification model based on the Apache-2.0 license, specifically designed to recognize 30 different types of plants.

Computer VisionSafetensorsOther

A table classification model based on the Apache-2.0 license, supporting the English language, primarily used for table data classification tasks.

Natural Language ProcessingTensorflowEnglish

This is an object detection model released under the Apache-2.0 license, designed to identify and locate specific objects within images.

Computer VisionTensorflow

This is a monocular depth estimation model based on the Apache-2.0 license, suitable for zero-shot depth estimation tasks in wild scenes.

Computer VisionDiffusers

A monocular depth estimation model based on the Apache-2.0 license, suitable for zero-shot depth estimation tasks in wild scenes.

Computer VisionDiffusers