DeepSeek-GRM-16B is a generative reward model based on Self-Principled Critique Tuning (SPCT), which can generate a transparent 'Principle → Critique → Score' evaluation process for query-responses and can be used in tasks such as reinforcement learning, evaluation, and data collection of large language models.

Natural Language ProcessingTransformersMultiple Languages

The Meta Llama 3.1 series is a collection of multilingual large language models (LLMs), including pre-trained and instruction-tuned generative models in 8B, 70B, and 405B sizes. The 8B version is optimized for multilingual dialogue use cases and excels in common benchmarks.

Natural Language ProcessingGgufMultiple Languages

TIPO is a text-to-image prompt optimization system based on text pre-sampling, which enhances the quality and usability of generative models by optimizing user input prompts through large language models.

MultimodalGgufEnglish

Llama 3.2 is a collection of multilingual large language models launched by Meta, including pre-trained and instruction-tuned generative models of 1B and 3B sizes. It is optimized for multilingual dialogue use cases and performs well in common industry benchmark tests.

Natural Language ProcessingTransformersMultiple Languages

Llama 3.2 is a multilingual large language model series developed by Meta, including 1B and 3B scale pre-trained and instruction-tuned generative models, optimized for multilingual dialogue scenarios, supporting text input/output.

Natural Language ProcessingTransformersMultiple Languages

Llama 3.2 is a multilingual large language model series developed by Meta, including 1B and 3B scale pre-trained and instruction-tuned generative models, optimized for multilingual conversation scenarios.

Natural Language ProcessingTransformersMultiple Languages

Llama 3.2 is a multilingual large language model series developed by Meta, including 1B and 3B scale pre-trained and instruction-tuned generative models, optimized for multilingual dialogue scenarios, supporting intelligent retrieval and summarization tasks.

Natural Language ProcessingTransformersMultiple Languages

Llama 3.2 is a multilingual large language model series launched by Meta, including 1B and 3B parameter pre-trained and instruction-tuned generative models, optimized for multilingual dialogue scenarios, supporting agent retrieval and summarization tasks.

Natural Language ProcessingTransformersMultiple Languages

Meta Llama 3.1 is a multilingual large language model collection, including 8B, 70B, and 405B parameter pre-trained and instruction-tuned generative models, supporting 8 languages with outstanding performance on industry benchmarks.

Natural Language ProcessingTransformersMultiple Languages

Meta Llama 3.1 is a multilingual large language model series, including pre-trained and instruction-tuned generative models with 8B, 70B, and 405B scales. The 405B version is optimized for multilingual dialogue scenarios and performs excellently in common industry benchmarks.

Natural Language ProcessingTransformersMultiple Languages

Meta Llama 3.1 is a series of multilingual large language models, including 8B, 70B, and 405B pre-trained and instruction-tuned generative models, optimized for multilingual dialogue scenarios.

Natural Language ProcessingTransformersMultiple Languages

A generative model combining large language models and video diffusion technology, supporting bounding box conditional control

MultimodalDiffusers

Meta's Llama 3 series of large language models, including 8B and 70B scale pre-trained and instruction-tuned generative text models, optimized for dialogue scenarios, with excellent performance in industry benchmark tests.

Natural Language ProcessingTransformersEnglish

Aya 101 is a large-scale multilingual generative language model supporting instructions in 101 languages, outperforming similar models in various evaluations.

Natural Language ProcessingTransformersMultiple Languages

Xiandu (Cendol) is an open-source collection of generative large language models fine-tuned for the Indonesian language, covering various architectures and parameter scales.

Natural Language ProcessingTransformersOther