This model is an instance segmentation model fine-tuned on the qubvel-hf/ade20k-mini dataset based on facebook/mask2former-swin-tiny-coco-instance. This model is specifically optimized for the scene understanding task in the ADE20K-mini dataset and shows good performance in the instance segmentation task.

Computer VisionTransformers

This project is a quantized version based on the MiniMaxAI/MiniMax-M2 model, aiming to make knowledge accessible to the public. It provides multiple model versions with different quantization levels and shows the perplexity performance indicators of each version.

Natural Language ProcessingGguf

JanusCoderV-7B is a 7B parameter code generation model developed by InternLM. This project provides multiple versions of imatrix quantization using llama.cpp, supporting various quantization levels to meet different hardware requirements.

Natural Language ProcessingGguf

This is a quantized version of the internlm's JanusCoder-14B model. It is quantized using specific tools and datasets, providing a variety of quantization type files from low quality to high quality. It can run in LM Studio or projects based on llama.cpp.

Natural Language ProcessingGguf

This is a quantized version of the internlm's JanusCoder-8B model, using the imatrix quantization technology of llama.cpp. It significantly reduces the storage and computational resource requirements of the model while ensuring performance, enabling the model to run efficiently on more devices.

Natural Language ProcessingGguf

Scout is a professional language model fine-tuned by VANTA Research based on the Google Gemma 3 4B Instruct architecture. It excels in constraint-aware reasoning and adaptive problem solving, and is擅长侦察式情报收集 should be translated as is good at scouting-style intelligence gathering。擅长侦察式情报收集、系统问题分解和自适应解决方案生成。It is good at scouting-style intelligence gathering, system problem decomposition, and adaptive solution generation.

Natural Language ProcessingTransformersEnglish

gpt-oss-safeguard-120b is a security reasoning model built by OpenAI based on gpt-oss, with 117 billion parameters (5.1 billion of which are active parameters). This model is specifically designed for security use cases and can classify text content and perform basic security tasks according to the provided security policies.

Natural Language ProcessingTransformers

GPT-OSS-Safeguard-20B is a security reasoning model with 21 billion parameters built on GPT-OSS, specifically optimized for security-related text content classification and filtering tasks. This model supports custom security policies, provides a transparent reasoning process, and is suitable for security use cases such as input-output filtering of large language models and online content annotation.

Natural Language ProcessingTransformers

Lodos-24B-Instruct-2510 is a large Turkish language model fine-tuned based on Mistral-Small-3.2-24B-Instruct-2506. It uses the TRL framework for full supervised fine-tuning and is specifically optimized for Turkish instruction following tasks, supporting long text generation and complex reasoning.

Natural Language ProcessingTransformersOther

Lamapi/next-12b is a large language model based on 12B parameters. It is fine-tuned with a multilingual dataset, supports more than 50 languages, has efficient text generation capabilities, and is suitable for natural language processing tasks in multiple fields such as chemistry, code, biology, finance, and law.

Natural Language ProcessingTransformersMultiple Languages

Lamapi/next-12b is a multilingual large language model with 12 billion parameters, offering multiple quantized versions and supporting various natural language processing tasks such as text generation, question answering, and chatting. This model is trained on multiple domain datasets and features high efficiency and lightweight characteristics.

Natural Language ProcessingTransformersMultiple Languages

Omni L1B3RT4S GENIE is an AI assistant fine-tuned based on the Qwen2.5-3B Instruct architecture. It is trained with customized examples of 1,103 elf characters, and has unique voice and loyalty modes, capable of providing users with a unique dialogue experience.

Natural Language ProcessingGgufEnglish

This is an image text recognition model based on DeepSeek-OCR, which specifically solves the compatibility issues in the latest version of the transformers library, enabling the model to run smoothly in the latest versions such as transformers v4.57.1.

MultimodalTransformersEnglish

This is the MLX format conversion version of the MiniMax-M2 model, converted from the original model using mlx-lm 0.28.1. It supports 8-bit quantization and an optimized configuration with a group size of 32, and is optimized for running on Apple Silicon devices.

Natural Language ProcessingMlxEnglish

This is a Transformer model published on the Hugging Face model hub. The model card is automatically generated by the system, and specific model information needs to be further supplemented.

Natural Language ProcessingTransformers

This is a LoRA model for flight and bullet time video effects based on Wan2.1, specifically designed to generate images with bullet time effects, capable of creating a unique visual effect where a character floats in the air and the camera perspective rotates around the character.

Computer VisionDiffusers

MiniMax-M2 6.5bit MLX is a quantized version based on the MiniMax-M2 model, which performs excellently in text generation tasks and supports multiple quantization levels. Among them, the q6.5bit quantization can achieve a perplexity of 1.128 in testing, which is comparable to q8.

Natural Language ProcessingMlx

This is an experimental Stable Diffusion 1.5 distillation model that uses the v-prediction flow matching method and geometric guided adaptive block weighting technology. It is currently in the research phase, the training is ongoing, and the results have not been verified.

Computer VisionDiffusers

MiniMax-M2-5bit is a 5-bit quantized version converted from the MiniMaxAI/MiniMax-M2 model, optimized specifically for the MLX framework. This model is a large language model that supports text generation tasks and is released under the MIT license.

Natural Language ProcessingMlx

TRELLIS Text XL is a large-scale 3D generation model, which is the text-conditioned version of TRELLIS with an XL model size. This model is proposed based on the paper 'Structured 3D Latents for Scalable and Versatile 3D Generation' and can generate high-quality 3D content according to text descriptions.