The Evolution of Chinese Large Language Models (LLMs)

The Evolution of Chinese Large Language Models (LLMs)

The Evolution of Chinese Large Language Models (LLMs)


Yi models, with 34B and 6B parameter versions, combine semantic language spaces with visual representations, ensuring reliable results and strong performance on a range of tasks. HF Page: 01-ai GitHub Page: 01-ai/Yi


QWEN series performs exceptionally well in a variety of downstream tasks and stands out with the use of Reinforcement Learning from Human Feedback (RLHF) in chat models. HF Page: Qwen-14B GitHub Page: QwenLM/Qwen


DeepSeek-V2 allows 236B parameters, achieves notable increases in efficiency, and cuts training costs by 42.5% while increasing throughput. GitHub Page: DeepSeek-V2


WizardLM uses LLMs to overcome the difficulty of creating high-complexity instruction data and performs better than human-created instructions in assessments. GitHub Page: WizardLM


GLM-130B competes with GPT-3 (Davinci) model in terms of performance and excels several key models on English benchmarks, making it highly effective for large-scale model deployment. GitHub Page: GLM-130B


CogVLM achieves state-of-the-art performance across several cross-modal benchmarks and supports various applications, including visual grounding and image captioning. HF Page: THUDM/CogVLM GitHub Page: CogVLM


Baichuan-7B models optimize for on-device deployment and reach state-of-the-art performance on Chinese and English benchmarks. HF Page: Baichuan-7B


InternLM, a 100B multilingual model, excels in Chinese, English, and coding problems, producing responses consistent with morality and human values. HF Page: InternLM GitHub Page: InternLM


Skywork-13B performs well on general-purpose and domain-specific tasks, addresses data contamination concerns, and presents a unique leakage detection technique. GitHub Page: Skywork


ChatTTS is a generative text-to-speech model with support for both Chinese and English dialogue scenarios, providing accurate and natural-sounding speech output. GitHub Page: ChatTTS-webui


Hunyuan-DiT performs exceptionally well in fine-grained comprehension of Chinese and English and represents a new state-of-the-art in Chinese-to-image generation. ERNIE 3.0 addresses the limitations of conventional pre-trained models and performs well in tasks involving natural language creation and processing. HF Page: ernie-3.0-base-zh

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