OpenMMReasoner is a fully transparent two-stage multimodal reasoning solution that covers supervised fine-tuning (SFT) and reinforcement learning (RL). By carefully constructing high-quality datasets, this solution surpasses powerful baseline models in multiple multimodal reasoning benchmark tests, laying a solid empirical foundation for future large-scale multimodal reasoning research.

MultimodalTransformers

Qwen2.5 is a new-generation large language model launched by Alibaba. It has made important optimizations in the chat template, permanently disabled the thinking state, solved problems related to the multi-round chat template, and provided a more convenient experience for experiments and research.

Natural Language ProcessingTransformers

Llama-4-Maverick-17B-128E-Instruct-NVFP4 is a multilingual large language model that has undergone FP4 quantization processing. It is based on the Meta-Llama-3.1 architecture and is specifically designed for business and research purposes. By quantizing the weights and activations to the FP4 data type, this model significantly reduces the disk space and GPU memory requirements while maintaining good performance.

Natural Language ProcessingSafetensorsMultiple Languages

PokeeResearch - 7B is a 7 - billion - parameter in - depth research agent model developed by Pokee AI. It combines Reinforcement Learning from AI Feedback (RLAIF) and a powerful reasoning framework, enabling reliable, aligned, and scalable research - level reasoning in tool - enhanced large language models. It is suitable for complex multi - step research workflows.

Natural Language ProcessingTransformersEnglish

KaniTTS is a high-speed, high-fidelity Arabic text-to-speech model optimized for real-time conversational artificial intelligence applications. It adopts a two-stage pipeline architecture, combining a large language model with an efficient audio codec to achieve excellent speed and audio quality, and can meet the speech synthesis needs of multiple fields such as conversational AI, accessibility assistance, and research.

Audio ProcessingTransformersArabic

Tongyi Deep Research 30B is a large language model with 30 billion parameters, designed specifically for long-cycle, deep information search tasks. This model performs excellently in multiple intelligent search benchmark tests, uses innovative quantization methods to improve performance, and supports intelligent pre-training, supervised fine-tuning, and reinforcement learning.

Natural Language ProcessingTransformersEnglish

Lapa LLM 12B PT is an open-source large language model developed based on Google Gemma 3-12B, specifically optimized for Ukrainian language processing. It is developed by research teams from multiple Ukrainian universities and performs excellently in Ukrainian language processing, with efficient instruction fine-tuning and multimodal capabilities.

MultimodalTransformersOther

This project is the A3B quantized version of Alibaba's Tongyi In-depth Research 30B model. It aims to reduce the model deployment cost through quantization technology and make knowledge accessible to everyone. This model is optimized based on a large language model with a scale of 30B parameters, maintaining the strong capabilities of the original model while improving the inference efficiency.

Natural Language ProcessingGguf

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

Gemma 3 is a lightweight and state-of-the-art multimodal open model family launched by Google, built on the same research and technology as the Gemini model. This model can handle text and image inputs and generate text outputs. It has a large context window of 128K and supports over 140 languages, offering various sizes ranging from 270M to 27B.

MultimodalTransformers

Fanar-1-9B-Instruct is a powerful Arabic-English large language model developed by the Qatar Computing Research Institute (QCRI). It supports Modern Standard Arabic and multiple Arabic dialects, and is aligned with Islamic values and Arab culture.

Natural Language ProcessingTransformersMultiple Languages

Zlatorog-12B-Instruct-Beta is a large language model fine-tuned based on Mistral Nemo 12B, designed specifically for Slovenian language-related research, supporting instruction following, reasoning, and tool-enhanced generation tasks.

Natural Language ProcessingTransformersMultiple Languages

A large language model developed based on the GPT-2 architecture, focusing on research assistance functions, trained under limited hardware conditions

Natural Language ProcessingTransformers

OLMo 2 1B RLVR 1 April 2025 is a post-trained variant based on the allenai/OLMo-2-0425-1B-DPO model, which has been fine-tuned on multiple specific datasets. This model has demonstrated good performance in multiple tasks such as mathematical reasoning, code generation, and instruction following. It is a large language model with 1B parameters designed specifically for research and educational purposes.

Natural Language ProcessingTransformersEnglish

Llama-Krikri-8B-Instruct is a Greek instruction-tuned large language model developed by the Athena Research Center, based on Llama-3.1-8B, with enhanced multitasking capabilities in Greek and English.

Natural Language ProcessingTransformersMultiple Languages

PPACE is an 8-billion-parameter large language model specifically designed for automatic classification of biomedical funding project abstracts, supporting the World Health Organization's research priority classification.

Natural Language ProcessingTransformers

Gemma 3 is a lightweight and state-of-the-art open model family launched by Google, built on the same research and technology as the Gemini model. This 27B version uses Quantization-Aware Training (QAT), which can significantly reduce memory requirements while maintaining quality similar to bfloat16. It has multimodal processing capabilities and a 128K large context window.

MultimodalTransformers

Arsh LLM is an open-source large language model designed for research, pretrained on the olmo mixed dataset using a T4 GPU, with a total training time of approximately 4-5 days.

Natural Language ProcessingPytorch

JPharmatron-7B is a large language model with 7 billion parameters designed specifically for pharmaceutical applications and research, which can play an important role in pharmaceutical documentation and research fields.

Natural Language ProcessingTransformersMultiple Languages

The first open-source, native 1-bit large language model developed by Microsoft Research, with a parameter scale of 2 billion, trained on a corpus of 4 trillion tokens.

Natural Language ProcessingGgufEnglish