# Multi-model fusion

Gama-12B is a large language model supporting multiple languages, offering various quantized versions to meet different performance and precision requirements.

KiraDepth is a text-to-image generation model based on Stable Diffusion XL, specializing in creating 2.25D/2.5D-style images with depth, detail, and shadows, particularly suited for anime-style artwork.

KnowledgeCore.12B is a large language model with a 12B parameter scale, merged using the mergekit tool, based on the fusion of PocketDoc/Dans-PersonalityEngine-V1.1.0-12b and inflatebot/MN-12B-Mag-Mell-R1 models.

This is a project that uses the mergekit tool to merge multiple pre-trained language models with a 12B parameter scale. The aim is to integrate the advantages of different models and improve language processing capabilities.

This is a large language model with 12B parameters merged using the mergekit tool, combining features from multiple excellent models.

This is a 24B-parameter merged language model, utilizing the TIES method to fuse multiple 24B-scale pre-trained models, focusing on providing high-quality text generation and comprehension capabilities.

This is a pre-trained language model merged using the mergekit tool, employing the DARE TIES method to fuse multiple Gemma3-12B variant models.

MagTie-v1-12B is a 12B-parameter language model merged using the DARE TIES algorithm, combining the strengths of multiple pre-trained models

This project uses the mergekit and DARE TIES methods to merge the soob3123/amoral-gemma3-12B-v2 and IlyaGusev/saiga_gemma3_12b models, aiming to provide more powerful language processing capabilities.

This is an experimental multi-model fusion project based on the LLaMa-70B architecture, utilizing the DARE TIES fusion method and combining six different versions of the MO-MODEL.

Based on the fusion of multiple pre-trained language models, version V.5 has improved stability and content performance

A text-to-image generation model created using the Karcher mean merging method, which can convert text descriptions into images.

This is a result of merging multiple 12B-parameter-scale language models using the mergekit tool, with Magnolia-v3-12B as the base model

This is a merged model based on Qwen2.5-32B, incorporating features from DeepSeek-R1-Distill-Qwen-32B, QwQ-32B, and Sky-T1-32B-Flash to enhance performance.

This is an improved version based on the merging of multiple 70B parameter models, primarily adjusting the embedding layer dimensions to match standard L3 70B model specifications.

This is a 12B-parameter large language model based on the fusion of multiple pre-trained language models, merged using the mergekit tool, suitable for text generation tasks.

This is a hybrid model based on the merging of multiple high-quality models, focusing on Chinese text generation and dialogue tasks.

This is a merged version based on multiple 12B-parameter scale models, integrating 7 different pre-trained language models with distinct characteristics using the model_stock method to enhance comprehensive capabilities.

A merged model based on Llama 3 70B architecture, optimized for story generation and role-play, supporting long context windows

This is a 12B-parameter language model merged using the DARE TIES method, combining multiple pre-trained models to provide powerful text generation capabilities.

ElvenMaid-12B-v2 is a 12B parameter language model based on the ChatML format, created by merging multiple pre-trained models using mergekit's TIES method, supporting English and Japanese interactions.

A high-performance language model integrating multiple 70B-parameter Llama-3.1 variants using the SCE merging method

This is a 9B-parameter language model based on the Gemma-2-9B series, fused using the DARE TIES method, combining multiple optimized versions of the Gemma model.

This is a 12B-parameter-scale language model merged using the mergekit tool, combining features from multiple excellent models based on EtherealAurora-12B-v2

Qwen2.5-7B-YOYO-super is an optimized open-source large language model achieved by merging base models and fine-tuned models, focusing on enhancing instruction-following, mathematical, and coding capabilities.

This is a multi-model fusion version based on the Gemma-2-9B series models, merged using the DARE TIES method, integrating the strengths of multiple Gemma variants.

This is a large language model merged from multiple 12B-parameter models, focusing on text generation and reasoning tasks.

This is a result of merging multiple 12B-parameter-scale language models using the mergekit tool through the model inventory method

Fused from multiple 12B-parameter large language models, equipped with text generation and dialogue capabilities

A pre-trained language model merged from multiple Captain-Eris series models using the mergekit tool

Illustrious XL v1.0 is a text-to-image generation model based on Stable Diffusion XL, specializing in high-quality anime-style images, particularly female characters.

An enhanced version of QwQ-32B, improving reasoning and output capabilities through 'cubed' and 'triple-cubed' methods, supporting 128k context.

Enhanced version of QwQ-32B, suitable for all usage scenarios, with outstanding reasoning and output capabilities.

An intermediate model during the Tantum merging process, created by merging multiple 24B-parameter Mistral and Llama3 variants, suitable for role-playing and text generation tasks.

This is a merged model based on Mistral-Small-24B-Instruct-2501, utilizing the DARE TIES fusion method to integrate multiple 24B parameter-scale models.

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.

Qwenvergence-14B-v13-Prose-DS is a large language model based on the merger of multiple models, with excellent data performance and humorous expression ability.

A large language model with 12B parameters, merged by Lumimaid and Magnum v4, using the DELLA merging method and incorporating the Nemo model optimized for Claude input

A v-prediction model built upon RouWei, specializing in text-to-image generation tasks with Booru tag-style prompts.

A fusion model based on Qwen2.5-32B, utilizing TIES technique to merge multiple 32B-parameter-scale models, excelling in text generation and comprehension.