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

This is the GGUF quantized version of the large language model Mistral-Large-3-675B-Instruct-2512 developed by Mistral AI. The original model has 675 billion parameters and is designed for instruction-following tasks. This project uses the llama.cpp tool and combines it with the imatrix calibration dataset to generate more than 20 different precision quantized model files from Q8_0 to IQ1_S, aiming to balance model performance, inference speed, and storage/memory usage, enabling it to run on a wider range of hardware.

Natural Language ProcessingGgufMultiple Languages

This model is an MLX format conversion version of the Ministral-3-3B-Instruct-2512 instruction fine-tuning model released by Mistral AI. It is a large language model with a parameter scale of 3B, specifically optimized for following instructions and dialogue tasks, and supports multiple languages. The MLX format enables it to run efficiently on Apple Silicon devices.

Natural Language ProcessingMlxMultiple 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

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

The MiMo Embodied Model (MiMo-Embodied) is a powerful cross-embodied vision-language model that has demonstrated excellent performance in both autonomous driving and embodied AI tasks. It is the first open-source vision-language model that combines these two key domains, significantly enhancing the understanding and reasoning abilities in dynamic physical environments.

MultimodalTransformers

Olmo 3 is a series of language models developed by the Allen Institute for AI, including two scales of 7B and 32B, with two variants: instructional and reflective. This model performs excellently in long-chain thinking and can effectively improve the performance of reasoning tasks such as mathematics and coding. It adopts a multi-stage training method, including supervised fine-tuning, direct preference optimization, and reinforcement learning with verifiable rewards.

Natural Language ProcessingTransformersEnglish

Olmo-3-7B-Think-DPO is a 7B parameter language model developed by the Allen Institute for AI. It has the ability of long-chain thinking and performs excellently in reasoning tasks such as mathematics and coding. This model has undergone multi-stage training including supervised fine-tuning, direct preference optimization, and reinforcement learning based on verifiable rewards, and is designed specifically for research and educational purposes.

Natural Language ProcessingTransformersEnglish

Olmo 3 is a series of language models developed by the Allen Institute for AI (Ai2), including two specifications of 7B and 32B, with two variants of Instruct and Think. This model is based on the Transformer architecture and has the ability of long-chain thinking, which can effectively improve the performance of reasoning tasks such as mathematics and coding.

Natural Language ProcessingTransformersEnglish

Olmo 3 is an open-source language model series developed by the Allen Institute for AI, available in two specifications: 7B and 32B, with two variants: Instruction and Think. This model has excellent long-chain thinking ability and can significantly improve performance in reasoning tasks such as mathematics and coding.

Natural Language ProcessingTransformersEnglish

Olmo 3 is a new family of language models developed by the Allen Institute for AI, including two scales of 7B and 32B, with two variants: Instruction and Think. This model uses long-chain thinking to improve performance in reasoning tasks such as mathematics and coding, aiming to promote the scientific development of language models.

Natural Language ProcessingTransformersEnglish

Olmo 3 7B RL-Zero Math is a 7-billion-parameter language model developed by Allen AI, specifically optimized for mathematical reasoning tasks. It is trained on mathematical datasets using the RL-Zero reinforcement learning method, which can effectively improve mathematical reasoning ability.

Natural Language ProcessingTransformersEnglish

Profluent - E1 is a faithful implementation of the E1 model by Profluent Bio, released by Synthyra. It is a pre-trained language model focused on protein sequence processing, integrating Hugging Face AutoModel compatibility and providing efficient embedding capabilities, aiming to simplify protein sequence analysis and representation learning in bioinformatics tasks.

Scientific ComputingTransformers

Olmo-3-32B-Think-DPO is a 32B parameter language model developed by Allen AI. It is trained using Direct Preference Optimization (DPO) and has the ability of long-chain thinking reasoning. It performs excellently in complex reasoning tasks such as mathematics and coding.

Natural Language ProcessingTransformersEnglish

Rnj-1 is a series of 8 billion parameter, open-weight dense models trained from scratch by Essential AI. This model is optimized for the code and STEM fields, excelling in programming, mathematical reasoning, agent tasks, and tool invocation, with capabilities comparable to the most advanced open-weight models.

Natural Language ProcessingTransformers

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

JanusCoder-14B is an open-source foundation model with 14B parameters built on Qwen3-14B, aiming to establish a unified visual programming interface for code intelligence. This model is trained on the JANUSCODE-800K multimodal code corpus and can handle various visual programming tasks in a unified manner.

Natural Language ProcessingTransformers

JanusCoder-8B is an open-source code intelligence foundation model built on Qwen3-8B, aiming to establish a unified visual programming interface. This model is trained on JANUSCODE-800K (the largest multimodal code corpus to date) and can handle various visual programming tasks, including data visualization, interactive web UI, and code-driven animation.

MultimodalTransformers