This project is a quantized version of TheDrummer's Cydonia-24B-v4.3 model. It uses llama.cpp for quantization processing, aiming to provide model files of different quantization types to meet the needs of different hardware and performance. It is a large language model with 24B parameters, mainly used for text generation tasks.

Natural Language ProcessingGguf

Z-Image-Re-Turbo is a text-to-image generation model that has been optimized for de-reduction and re-acceleration based on the Z-Image-De-Turbo model. This model aims to balance the convenience during training and the speed during inference. It restores the fast generation ability close to the original Turbo model while maintaining the same training-friendly features as Z-Image-De-Turbo, enabling it to be perfectly compatible with a large number of trained LoRA models in the Z-Image ecosystem.

MultimodalDiffusers

GigaChat3-10B-A1.8B is an efficient dialogue model in the GigaChat series. Based on the Mixture-of-Experts (MoE) architecture, it has a total of 10 billion parameters and 1.8 billion active parameters. It adopts the innovative Multi-head Latent Attention (MLA) and Multi-token Prediction (MTP) technologies, aiming to optimize inference throughput and generation speed. The model is trained on 20T tokens of diverse data and supports 10 languages including Chinese, suitable for dialogue scenarios requiring quick responses.

Natural Language ProcessingGgufMultiple Languages

This is a quantized version of ai-sage's GigaChat3-10B-A1.8B model, using the imatrix quantization technology of llama.cpp, which can run more efficiently under different hardware conditions. The model supports Russian and English and is mainly used for text generation tasks.

Natural Language ProcessingGgufMultiple Languages

Strawberry_Smoothie-TEST is a hybrid model obtained by merging three 12B parameter models using the mergekit tool. It combines the advantages of Unity-12B, Chaos-Unknown-12b, and Smoothie-12B-Model_Stock, aiming to provide better text generation and dialogue capabilities.

Natural Language ProcessingTransformers

This is the quantized version of the ai-sage/GigaChat3-702B-A36B-preview-bf16 model, aiming to provide the public with a free way to access knowledge. This model is a large language model focusing on text generation tasks.

Natural Language ProcessingGguf

Olmo 3 is a new generation of language model family developed by the Allen Institute for AI, including 7B and 32B instruction and thinking variants. This model performs excellently in long-chain thinking and can significantly improve the performance of reasoning tasks such as mathematics and coding. All code, checkpoints, and training details will be made public to promote the development of language model science.

Natural Language ProcessingTransformersEnglish

Olmo 3 is a new generation of language model series developed by the Allen Institute for AI, including two scales of 7B and 32B, with instruction and thinking variants. This model is pre-trained on the Dolma 3 dataset and post-trained on the Dolci dataset. It has the ability of long-chain thinking and performs excellently in reasoning tasks such as mathematics and coding.

Natural Language ProcessingTransformersEnglish

Trouper-12B GGUF is a text generation model developed by DarwinAnim8or based on the original model. It is specifically optimized for role-playing and creative writing scenarios. This model is fine-tuned from Mistral-Nemo-Base-12B and trained using a custom 'Actors' dataset. The generated text is more natural and avoids the common 'AI language' features.

Natural Language ProcessingGgufEnglish

This project is based on the moonshotai/Kimi-K2-Thinking base model. The original INT4 model is converted into a higher-quality text generation model through a custom anti-quantization script, aiming to make knowledge accessible to everyone.

Natural Language ProcessingGguf

This is a quantized version model based on Moonshot AI technology, focusing on visual language understanding and generation tasks, and committed to lowering the threshold of knowledge acquisition and making knowledge accessible to everyone.

Natural Language ProcessingGguf

Kimi K2 Thinking is the latest generation of open-source thinking model developed by Moonshot AI. It has powerful deep reasoning ability and tool call function. The model adopts a mixture-of-experts architecture, supports native INT4 quantization, has a 256k context window, and performs excellently in multiple benchmark tests.

Natural Language ProcessingTransformers

This is the Nunchaku quantization (SVDQ) version of the UltraReal Fine-Tune text-to-image model based on Danrisi's Flux architecture. The model offers two quantization formats: INT4 for non-Blackwell architecture GPUs (before the 50 series) and NVFP4 for Blackwell architecture GPUs (50 series), aiming to reduce hardware requirements while maintaining image generation quality.

Computer VisionDiffusersEnglish

Qwen3-VL-2B-Instruct is the most powerful vision-language model in the Qwen series. It has excellent text understanding and generation capabilities, in-depth visual perception and reasoning abilities, long context support, and strong spatial and video dynamic understanding abilities. This model uses a 2B parameter scale, supports instruction interaction, and is suitable for multimodal AI applications.

MultimodalTransformers

This project is a quantized version based on the IBM Granite-4.0-h-350m model, aiming to make knowledge accessible to everyone. This model is an efficient text generation model. After quantization optimization, it has a smaller model size and faster inference speed.

Natural Language ProcessingGguf

Gaperon-1125-24B is a bilingual (French-English) language model with 24 billion parameters. It has been trained on approximately 2 trillion tokens and can proficiently handle French, English, and coding tasks. This model uses the OLMo-2 architecture, aiming to achieve the best balance between large-scale, high-quality text generation and excellent task performance.

Natural Language ProcessingTransformersMultiple Languages

EXAONE-4.0-1.2B is a text generation model developed by LG AI Research. It is based on the EXAONE-4.0-1.2B base model and fine-tuned using the tatsu-lab/alpaca dataset, supporting text generation tasks in both English and Korean. The model has been converted to the GGUF format for easy local deployment and operation.

Natural Language ProcessingGgufMultiple Languages

This is a quantized version of the Alibaba Tongyi Deep Research 30B-A3B model. It uses MXFP4_MOE quantization technology and additionally adds imatrix quantization, aiming to optimize model performance and resource utilization efficiency, and is suitable for text generation tasks.

Natural Language ProcessingGguf

This is the MXFP4_MOE quantized version of the Huihui AI model Huihui-MoE-60B-A3B-abliterated, which provides support for text generation. This quantized version is processed based on a specific base model and can optimize the model's performance and user experience to a certain extent.

Natural Language ProcessingGguf

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