# English Optimization

Eurydice-24b v3 is a multi-character dialogue companion model built on Mistral 3.1, excelling in creative expression, natural conversation, and storytelling.

A logistics domain-specific Bert model developed by the Multi2ConvAI project, optimized for English text

A 0.5B parameter text reranking model based on Qwen2.5 architecture, efficiently trained using Unsloth and TRL libraries

An English text re-ranking model based on the ModernBERT pre-training architecture, developed by Alibaba's Tongyi Lab, supporting long-text processing up to 8192 tokens.

A multimodal model built on UMT-L and Qwen2-7B, supporting long video understanding with only 16 tokens per frame and an extended context window of 128k.

A 32B-parameter large language model based on llama.cpp, specializing in text generation tasks for chemistry, biology, climate, and medical fields

A T5-based prompt enhancement model that expands brief prompts into detailed descriptions

Gemma is Google's lightweight cutting-edge open model series, built with the same technology as Gemini, suitable for various text generation tasks.

Omost's instruction fine-tuned model based on Llama3-8B, pre-trained with the Dolphin-2.9 dataset and quantized in 4-bit NF4 format.

This is a static quantization version of FallenMerick/Smart-Lemon-Cookie-7B, offering multiple quantization options, suitable for text generation and role-playing tasks.

Stable Diffusion is a latent text-to-image diffusion model capable of generating realistic images from any text input.

A diffusion-based text-to-image generation model capable of producing realistic images from text prompts