AI content generation

AMD-Llama-135m is a language model trained based on the LLaMA2 model architecture and can be loaded and used smoothly on AMD MI250 GPU. The model supports generating text and code and is suitable for a variety of natural language processing tasks.

Phi-3.5-mini-instruct is a lightweight, multi-language advanced text generation model built by Microsoft based on high-quality data. It focuses on providing high-quality inference-intensive data, supports a token context length of 128K, and undergoes a rigorous enhancement process, including supervised fine-tuning, proximal policy optimization and direct preference optimization to ensure precise instruction compliance and strong security measures.

Index-1.9B-Pure is a lightweight version of the Index family of models, designed specifically for text generation. It was pre-trained on 2.8T Chinese and English corpus, and compared with models of the same level, it performed ahead on multiple evaluation benchmarks. This model specifically filters all instruction-related data to verify the impact of instructions on the benchmark, and is suitable for fields that require high-quality text generation.

The GLM-4 series is a new generation of pre-training models launched by Zhipu AI, including GLM-4-9B, GLM-4-9B-Chat, GLM-4-9B-Chat-1M and GLM-4V-9B. These models perform well in semantic understanding, mathematical reasoning, code execution, etc., support up to 26 languages, and have advanced functions such as web browsing and code execution. The GLM-4V-9B model also has high-resolution visual understanding capabilities and is suitable for multi-modal application scenarios.

Google Gemini is a multimodal-based AI model that can seamlessly reason about images, video, audio, and code. Gemini is DeepMind’s most advanced AI model, capable of outperforming human experts in various tests including MMLU (Massive Multi-Task Language Understanding). Gemini has excellent inference capabilities and achieves state-of-the-art performance in a variety of multi-modal tasks.

Falcon 180B LLM is a generative large-scale language model that helps advance applications and use cases to future-proof our world. Currently, Falcon 180B, 40B, 7.5B and 1.3B parameter AI models and the high-quality REFINEDWEB data set constitute a suite of products. Falcon 180B is an ultra-powerful language model with 180 billion parameters and trained on 3.5 trillion tokens. It currently sits on top of the Hugging Face Leaderboard's pre-trained open large language models and is available for research and commercial use.