# Creative writing enhancement

A large language model with 24B parameters based on the Mistral architecture, optimized for role-playing and creative writing, using the GGUF quantization format

GGUF quantized version based on Qwen3-30B-A3B Mixture of Experts model, extended to 128k context, optimized with NEO Imatrix quantization technology, supporting multilingual and multitask processing.

This is the floating-point 16-bit version of Gryphe's MythoMax-L2-13B model converted to GGUF, designed for full-quality local inference on high-video-memory GPUs.

This is the NEO Imatrix quantized version of the Qwen3-32B model, using BF16 format to maximize output tensors for improved inference/generation capabilities, supporting a 128k context length.

A quantized version of Tongyi Qianwen 3 0.6B, suitable for text generation tasks, supporting a 32k context length and multilingual processing.

A large language model developed by Qwen, supporting a context length of 131,072 tokens, excelling in creative writing, role-playing, and multi-turn conversations.

A comprehensive re-fusion and remastered 32k context large language model based on the Dark Sapling V1 7B model, with significant improvements in quantization level optimization and performance

An extreme quantization version based on Google's Gemma-3 model, enhanced with NEO Imatrix technology, supporting 128k context length and suitable for full-scenario tasks

A high-performance language model optimized from the Qwen2.5-32B series, excelling in role-playing and creative writing

Genetic Lemonade Unleashed is a large language model with 70B parameters designed specifically for role-playing (RP) and creative writing. It achieves a balance in writing style, creativity, and intelligence level by fusing multiple excellent models.

A 12B-parameter language model merged using the mergekit tool, combining the anti-GPT features of UnslopNemo-12B-v4 and the intelligent performance of MN-12B-Mag-Mell-R1, suitable for creative writing and role-playing scenarios

A 12B-parameter language model merged via mergekit, focusing on role-playing and creative writing, with stable long-context processing capabilities and diverse stylistic expressions.

A 12B-parameter language model based on the SLERP fusion method, combining the strengths of Mag-Mell and UnslopNemo models, suitable for creative writing and role-playing scenarios

A 32K long-context model optimized from Llama-3-8B, extending context length through PoSE training, specializing in role-playing and creative writing tasks

This is a collection of pre-trained language models merged using the mergekit tool, based on the Llama-3-8B architecture and multiple derivative models.

Starling-dolphin-E26-7B is an experimental language model constructed by fusing multiple high-performance models, designed to handle a wide range of tasks including instruction following and creative writing.