Gheya-1 is a new-generation basic language model in the LES-IA-ETOILES ecosystem, with 202 million parameters. It is an upgraded version of the old Small-lamina series. This model is designed specifically for professional fine-tuning and has targeted training in the fields of artificial intelligence, professional language models, and biology.

Natural Language ProcessingTransformersFrench

Olmo-3-Think is a fully open-source language model series launched by the Allen Institute for Artificial Intelligence, available in two scales: 7B and 32B. This model is specially trained to demonstrate clear reasoning chains, support transparent step-by-step reasoning and inspectable intermediate thinking traces, and performs excellently in reasoning, mathematics, and code tasks.

Natural Language ProcessingTransformersEnglish

RealRobot_chatbot_llm is a professional product artificial intelligence model based on the Gemma3n architecture, specifically fine-tuned on the proprietary dataset of the RealRobot product catalog. This model can quickly create an accurate, cost-effective, and deployable professional language model based on the enterprise's own product data, providing highly specialized product Q&A services.

Natural Language ProcessingGgufMultiple Languages

Emu3.5 is a native multimodal model developed by the Beijing Academy of Artificial Intelligence (BAAI). It can jointly predict the next state across vision and language, enabling coherent world modeling and generation. After end-to-end pre-training and large-scale reinforcement learning post-training, it demonstrates excellent performance in multimodal tasks.

MultimodalTransformers

Emu3.5 is a native multimodal model developed by the Beijing Academy of Artificial Intelligence (BAAI). It can jointly predict the next state across vision and language, achieving coherent world modeling and generation, and performs excellently in multimodal tasks.

MultimodalTransformers

This is the latest cutting-edge model in the field of accuracy, dedicated to achieving artificial grain intelligence, and has made significant progress with the assistance of the world's top grain planting teams. This model is based on the Qwen3-0.6B architecture and is fully fine-tuned locally using an RX 9070 XT graphics card and the unsloth tool.

Natural Language ProcessingSafetensorsEnglish

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

LLM Pro Finance is a multilingual artificial intelligence model designed specifically for finance and economics professionals. It is trained on a large amount of high-quality financial and economic data and can generate accurate and contextually relevant responses to complex financial problems.

Natural Language ProcessingTransformersMultiple Languages

KaniTTS is a high-speed, high-fidelity text-to-speech model optimized for real-time conversational artificial intelligence applications. The model uses a two-stage processing flow, combining a large language model and an efficient audio codec. On an Nvidia RTX 5080, the latency for generating 15 seconds of audio is only about 1 second, and the MOS naturalness score reaches 4.3/5. It supports multiple languages such as English, Chinese, and Japanese.

Audio ProcessingTransformersMultiple Languages

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

Isha-1B-preview is a conversational artificial intelligence model with 10 billion parameters. It simulates the image of a teenager named Isha Verma and can generate highly anthropomorphic, casual and slightly shy conversation responses, including internal thinking processes.

Natural Language ProcessingGgufEnglish

MolmoAct is an open-source robot operation action reasoning model developed by the Allen Institute for Artificial Intelligence. It is built on the Qwen2.5-7B and SigLip2 visual backbone networks and is specifically optimized for single-arm Franka robot operation tasks in home and desktop environments.

MultimodalTransformersEnglish

MolmoAct is a fully open-source robot operation action reasoning model developed by the Allen Institute for Artificial Intelligence. It is built based on the Qwen2.5-7B and SigLip2 visual backbone networks and is specifically designed for robot operation tasks in home and desktop environments.

MultimodalTransformersEnglish

MolmoAct is an open-source action reasoning model developed by the Allen Institute for Artificial Intelligence, specifically designed for robot operation tasks. This model is built on Qwen2.5-7B and SigLip2, and is trained on 93 operation tasks in home and desktop environments, with leading vision-language-action processing capabilities.

MultimodalTransformersEnglish

MolmoAct is an open - source action reasoning model developed by the Allen Institute for Artificial Intelligence, specifically designed for robot operation tasks. This model is based on the Qwen2.5 - 7B language model and the SigLip2 visual backbone network, and is trained on 93 unique operation tasks in home and desktop environments, with leading visual - language - action reasoning performance.

MultimodalTransformersEnglish

A professional model built on the Qwen3 architecture, focusing on the fields of science, artificial intelligence design, and general reasoning. This model has been fine - tuned on high - difficulty scientific reasoning datasets and has excellent general and creative reasoning abilities. It is small in size and suitable for deployment on local devices and servers.

Natural Language ProcessingTransformersEnglish

This is a summary generation model specifically optimized for the Lao language. It is fine-tuned based on the Google Gemma-3-4B-Instruct model and trained with over 5000 high-quality Lao language input-output pairs, mainly focusing on the Artificial Intelligence and Digital Content (AIDC) theme.

Natural Language ProcessingFastaiOther

MedVAL-4B is a fine-tuned language model that can evaluate the medical text output generated by artificial intelligence with reliability close to that of a doctor. It is a self-supervised framework that uses synthetic data to train a large language model for the evaluator, and can assess the factual consistency between the medical output generated by the large language model and the input without doctor labels or reference outputs.

Natural Language ProcessingTransformersMultiple Languages

WangchanLION-v3-IT is a multilingual large language model jointly developed by VISTEC and a Singaporean artificial intelligence company, specifically fine-tuned for Thai instructions. This model is based on the Llama3 architecture and is fine-tuned using approximately 3.76 million Thai instruction-completion pairs, supporting English and Thai processing.

Natural Language ProcessingTransformersMultiple Languages

Llama-3.1-8B-Instruct-RM-RB2 is one of the reward models released by the Allen Institute for Artificial Intelligence. It is fine-tuned based on Llama-3.1-8B-Instruct and is used to evaluate and optimize the preference learning of generative models.

Natural Language ProcessingTransformersEnglish