GLM-4-32B-0414 is a large language model with 32 billion parameters, comparable in performance to GPT-4o and DeepSeek-V3. It supports both Chinese and English, and excels in code generation, function calling, and complex task processing.

Natural Language ProcessingGgufMultiple Languages

GLM-4-32B-0414 is a new member of the GLM family with 32 billion parameters, offering performance comparable to GPT-4o and DeepSeek-V3, and supports local deployment.

Natural Language ProcessingTransformersMultiple Languages

GLM-4-32B-Base-0414 is a new member of the GLM family. It has 32 billion parameters and is pre-trained on 15T high-quality data. Its performance can be comparable to that of advanced models such as GPT-4o and DeepSeek-V3. This model supports convenient local deployment and performs excellently in code generation, function calls, search-based Q&A, etc.

Natural Language ProcessingTransformersMultiple Languages

GLM-4-32B-0414 is a new member of the GLM family, a high-performance large language model with 32 billion parameters. This model was pre-trained on 15T of high-quality data, including a large amount of synthetic reasoning data, and performs excellently in multiple task scenarios such as code generation, function calls, and search-based Q&A. Its performance can rival that of larger-scale models like GPT-4o and DeepSeek-V3.

Natural Language ProcessingTransformersMultiple Languages

This model is a specialized psychological counseling model fine-tuned through preference learning based on Llama-3.1-8B-Instruct, excelling in psychological counseling sessions with a win rate surpassing GPT-4o.

Natural Language ProcessingTransformers

Atla Selene Mini is currently the most advanced small judge language model (SLMJ), with performance comparable to models 10 times its size, surpassing GPT-4o in multiple benchmarks.

Natural Language ProcessingTransformersMultiple Languages

MiniCPM-o 2.6 is a GPT-4o-level multimodal large model that runs on mobile devices, supporting vision, voice, and live stream processing

MultimodalTransformersOther

VITA-1.5 is a multimodal interaction model designed to achieve GPT-4o level real-time vision and voice interaction capabilities.

MultimodalSafetensors

This is the GGUF quantized version of the Qwen2.5-Coder-32B-Instruct model, which uses an advanced importance matrix quantization method to significantly reduce storage and computational resource requirements while maintaining the model's effectiveness. This model is the current state-of-the-art open-source large language model for code, with coding capabilities comparable to GPT-4o.

Natural Language ProcessingGgufMultiple Languages

A text classification model fine-tuned based on XLM-R Large, specifically designed to identify factual and non-factual statements in German texts. The model uses weakly supervised learning. It is first trained on a Telegram dataset annotated by GPT-4o and then continues to be trained on a manually annotated dataset, achieving an accuracy of 0.9 on the test set.

Natural Language ProcessingTransformersGerman

A language model fine-tuned based on Meta-Llama-3-8B-Instruct. It improves data quality through GPT-4o and focuses on enhancing Russian language capabilities. In the MT-Bench evaluation, its Russian score exceeds that of GPT-3.5-turbo.

Natural Language ProcessingTransformers