# Chinese Text Generation

This is a mixed 3-6bit quantized version converted from the Qwen/Qwen3-235B-A22B model, optimized for efficient inference on the Apple MLX framework.

This is the GGUF format version of the Qwen3-8B model, suitable for the llama.cpp framework and supports text generation tasks.

This is the quantized version of the Qwen3-8B-abliterated model, quantized using llama.cpp, suitable for text generation tasks.

Qwen3-8B-bf16 is an MLX format model converted from Qwen/Qwen3-8B, supporting text generation tasks.

This is a 4-bit quantized version converted from the Qwen/Qwen3-0.6B model, suitable for efficient inference on the MLX framework.

An 8-bit quantized large language model in MLX format converted from Qwen/Qwen3-8B, suitable for text generation tasks

The Llamacpp imatrix quantization version of Qwen3-4B provided by the Qwen team, supporting multiple quantization types and suitable for text generation tasks.

The Doge model employs dynamic masked attention mechanisms for sequence transformation, with the option to use either multi-layer perceptrons or cross-domain mixture of experts for state transitions.

This model is converted from DeepSeek-R1-ReDistill-Qwen-7B-v1.1 into GGUF format, suitable for text generation tasks.

This is a GGUF format model converted from ozone-ai/llama-3.1-0x-mini, suitable for the llama.cpp framework.

A lightweight Chinese GPT2 model pre-trained on CLUECorpusSmall, featuring a 6-layer architecture optimized for Chinese text generation tasks

A lightweight Chinese GPT2 model pre-trained on CLUECorpusSmall, featuring 6-layer/768-dim architecture optimized for Chinese text generation

A lightweight Chinese version of mT5-small model specialized in natural language transformation tasks

Chinese version of GPT2-Small model specialized in natural language generation tasks

A lightweight Chinese GPT2 model pre-trained on CLUECorpusSmall, with 6 layers/768 hidden units, suitable for Chinese text generation tasks

A pre-trained unbalanced Transformer model for Chinese understanding and generation, supporting various natural language processing tasks

Chinese GPT2-distil model, pretrained on CLUECorpusSmall dataset, suitable for Chinese text generation tasks

A pre-trained asymmetric Transformer model for Chinese understanding and generation, supporting text-to-text generation tasks

A Chinese classical poetry generation model based on the GPT2 architecture, pre-trained by UER-py, capable of generating Chinese classical poetry.

A Chinese pre-trained model based on the BART architecture, supporting text generation and understanding tasks, released by Fudan University's Natural Language Processing Laboratory