# Lightweight Text Generation

AM-Thinking-v1 is a text generation model based on the GGUF format, suitable for various natural language processing tasks.

A 0.5B parameter-scale text generation model based on llama.cpp, supporting instruction-based text generation tasks

Qwen3-4B is a GGUF format model based on Qwen3-4B-Base, suitable for text generation tasks.

The Llamacpp imatrix quantized version of Qwen3-0.6B provided by the Qwen team, quantized using llama.cpp, supports running in LM Studio or projects based on llama.cpp.

Yi-Coder-1.5B-Chat-GGUF is the GGUF format model file of 01-ai/Yi-Coder-1.5B-Chat, suitable for text generation tasks.

GGUF format model file for Phi-3.5-mini-instruct, suitable for text generation tasks.

GGUF quantized version of the Gemma 2B model, suitable for local deployment and inference

DistilGPT2 is a lightweight distilled version of GPT-2 with 82 million parameters, retaining GPT-2's core text generation capabilities while being smaller and faster.