# Multilingual dialogue

This is the quantized version of OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview0-QAT. With quantization technology, the model can run more efficiently under different hardware conditions.

FastwebMIIA is a 7-billion-parameter Italian artificial intelligence model developed by Fastweb, designed specifically for Italian and English, and supports long document processing.

A multilingual fine-tuned model optimized for Vietnamese reasoning, featuring step-by-step reasoning capabilities and structured XML format

Llama 3.2 is a multilingual large language model launched by Meta, offering two parameter scales of 1B and 3B, supporting various language tasks, and performing better than existing open-source and closed-source models.

The first fine-tuned version of Qwen2.5 32B, designed to address its excessive censorship issues and support multilingual interactions.

Llama-VARCO-8B-Instruct is a generative model built on Llama. Through additional training, it performs excellently in Korean processing while maintaining English proficiency.

This is an ablation-processed version based on the internlm2_5-20b-chat model, utilizing a new CPU-based ablation method.

This model is a large language model fine-tuned based on Qwen-2 72B Instruct, aiming to replicate the prose quality of the Claude 3 series of models and is the seventh version in the series of models.

The GGUF quantized version of DeepSeek-V2-Chat, suitable for local deployment and operation.

Cymist2-v0.1 is an advanced language model developed by Cypien AI team, specifically optimized for Turkish and English text generation tasks, supporting Retrieval-Augmented Generation (RAG) and Supervised Fine-Tuning (SFT).

GGUF-v3 version file of the Chinese LLaMA-2-7B model adapted to llama.cpp