Qwen3-VL-8B-Thinking-MNN is a 4-bit quantized version of the MNN model exported from Qwen3-VL-8B-Thinking, optimized for text generation and chat scenarios, and supports visual language understanding tasks.

A 4-bit quantized version of the MNN model exported from the gpt-oss-20b model, optimized for text generation tasks, supporting application scenarios such as chatting, with efficient inference performance and low memory usage

This is the 4-bit quantized version of the DeepSeek-R1-0528-Qwen3-8B model in MNN format, optimized for efficient inference. Based on the Qwen3-8B architecture, it supports text generation and dialogue functions, suitable for resource-constrained environments.

FastVLM-1.5B-Stage3-MNN is a text generation model based on the Transformer architecture. It is an 8-bit quantized version of FastVLM-1.5B-Stage3, suitable for text generation scenarios such as chatting.

An MNN model exported from Qwen3-30B-A3B, featuring 4-bit quantization for efficient inference.

A 4-bit quantized version of the MNN model exported from Qwen2.5-Omni-3B, implemented through the llmexport tool, providing efficient inference performance.

The 4-bit quantized version of the MNN model for Qwen3-4B, used for efficient text generation tasks

A 4-bit quantized version based on InternVL2_5-1B, suitable for text generation and chat scenarios.

A 4-bit quantized version of the MNN model exported from Qwen2.5-Omni-7B, optimized for text generation and chat scenarios, with efficient inference performance.

Qwen2-0.5B-Instruct-MNN is a 4-bit quantized version of the MNN model exported from Qwen2-0.5B-Instruct, suitable for text generation and chat scenarios.

A 4-bit quantized version of the MNN model exported from Qwen2.5-0.5B-Instruct using the llmexport tool, optimized for text generation and chat scenarios, featuring lightweight design and efficient inference.

tao-8k-origin is a model focused on sentence similarity calculation, supporting multiple similarity measurement methods and excelling in various Chinese evaluation datasets.

Natural Language ProcessingPytorchChinese

This model is specifically designed for extracting keywords and core opinions from e-commerce comments, trained on 5,000 Taobao reviews.

Natural Language ProcessingTransformersChinese

A BERT model based on bert-base-chinese, trained on the million-level semantic similarity dataset SimCLUE, designed for general semantic matching scenarios, demonstrating excellent generalization ability.

Natural Language ProcessingTransformers