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.

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

Natural Language ProcessingTransformersChinese