This model is a GGUF format conversion version of cerebras/Qwen3-Coder-REAP-25B-A3B, which uses the llama.cpp tool for format conversion and quantization processing. The original model is a large language model with 25B parameters, specifically optimized for code generation tasks.

Natural Language ProcessingTransformersEnglish

GLM-4.5-Air-REAP-82B-A12B is an efficiently compressed version of GLM-4.5-Air. Through the REAP pruning technology, the parameter scale is compressed from 106B to 82B, reducing the memory requirement by 25% while maintaining nearly lossless performance.

Natural Language ProcessingTransformersEnglish

This is a fine-tuned model based on the Qwen3 architecture, which uses the Unsloth and Huggingface TRL libraries for efficient training. The training speed has been increased by 2 times, and it is specifically optimized for text generation tasks.

Natural Language ProcessingTransformersEnglish

This is a compact Spanish-to-English translation model optimized for accuracy and efficiency. The model size is 386MB, supporting a context length of 4096 tokens, and can efficiently and accurately complete translation tasks with an average response time of approximately 245ms.

Natural Language ProcessingGgufMultiple Languages

This is a Bambara speech recognition model fine-tuned based on the OpenAI Whisper Small model. It was trained on 24,738 Bambara audio samples and can accurately transcribe Bambara speech into text, with a character error rate as low as 21.69%.

Audio ProcessingSafetensorsOther

An anime-style model focused on text-to-image generation, capable of generating 2D illustrations, character portraits, and character settings featuring cute girl images. The images have characteristics such as dynamic poses, clear structures, and strong lighting.

Computer VisionDiffusersEnglish

This is the GGUF format version of the GPT-OSS 20B model based on WeOpenML, which first implements the innovative MoE CPU expert offloading technology. This technology achieves a 99.9% reduction in video memory while maintaining the full generation quality, and only requires 2MB of video memory to run a 20 billion parameter mixture of experts model.

Natural Language ProcessingSafetensorsMultiple Languages

Granite Docling 258M is an image-text to text model based on the ONNX format, specifically designed for document understanding and processing. This model can convert the document content in images into a structured text format and supports multimodal input processing.

MultimodalTransformers

Outfit-Cut is an adapter for FLUX.1-Kontext-dev of black-forest-lab, specifically designed to accurately extract specified clothing items from images. This model has been trained on 200 pairs of images and can place the clothing on a clean, solid-color background, presenting it in a professional product photography style while preserving the original texture, color, shape, and details of the clothing.

Computer VisionDiffusers

This is a Vision Transformer model based on RoPE (Rotary Position Encoding) with a parameter scale of 150M and a patch size of 14x14. The model has been pre-trained on a diverse dataset of approximately 21 million images and can be used as a general visual feature extractor.

Computer VisionPytorch

Mira is a text generation model based on the fusion of multiple Gemma 3 27B base models. Through carefully selected training data and specific training methods, it has a unique ability to generate poetic texts. This model performs excellently in role-playing and creative writing, and can generate texts with literary charm according to different system prompts.

Natural Language ProcessingTransformers

A version fine-tuned based on google/medgemma-4b-it, specifically designed for binary breast X-ray image classification on the OMAMA 256×256 dataset. This model uses LoRA (Low-Rank Adaptation) for parameter-efficient adjustment and performs excellently in the breast cancer classification task, with the accuracy increasing from 12% of the base model to 95%.

MultimodalTransformersEnglish

GLM-4.6 is a new-generation large language model developed by Zhipu AI. Compared with GLM-4.5, it has significant improvements in context processing, coding ability, and reasoning performance. This model supports a context length of 200K and performs excellently in multiple public benchmark tests, especially having competitive advantages in code generation, reasoning, and agent tasks.

Natural Language ProcessingTransformersMultiple Languages

Huihui-gpt-oss-20b-mxfp4-abliterated-v2-qx86-hi-mlx is a large language model based on 20B parameters, optimized using quantization technology, and specifically converted for the MLX framework. This model uses high-precision quantization technology to significantly improve inference efficiency while maintaining model accuracy, and is suitable for various natural language processing tasks.

Natural Language ProcessingMlx

GLM-4.6 is a new-generation text generation model launched by Zhipu AI. Compared with GLM-4.5, it has achieved significant improvements in context processing, encoding performance, reasoning ability, etc. It supports a context length of 200K and has stronger agent capabilities and refined writing abilities.

Natural Language ProcessingTransformersMultiple Languages

This is a LoRA model trained based on the AI Toolkit by Ostris, specifically designed for image-to-video conversion, bringing dynamic effects to static image generation.

MultimodalDiffusers

This model is an automatic speech recognition model fine-tuned on Latin based on OpenAI Whisper-small. It is trained using 67 hours of Latin audio data, with a character error rate (CER) of 20. It supports the task of converting Latin speech to text.

Audio ProcessingSafetensorsOther

This is the quantized version of TheDrummer's Cydonia - R1 - 24B - v4.1 model. It uses the llama.cpp tool for multi-precision quantization processing and can run efficiently under different hardware conditions, providing users with more options.

Natural Language ProcessingGguf

Illustrious-xl-early-release-v0 is a text-to-image generation model based on the Stable Diffusion XL architecture, specifically optimized for anime and 2D illustration styles, capable of generating high-quality image works based on text descriptions.

Computer VisionDiffusersEnglish

NuExtract 2.0 is a multimodal model developed by NuMind specifically for structured information extraction. It supports text and image input, has multilingual processing capabilities, and can extract structured information from input content according to a JSON template.

MultimodalTransformers