# Dialogue system optimization

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

Llamacpp imatrix quantized version based on a-m-team/AM-Thinking-v1 model, supporting multiple quantization types, suitable for text generation tasks.

This repository contains GGUF format model files for Qwen/Qwen3-0.6B, quantized by TensorBlock's machines and compatible with llama.cpp.

Quantized version of OpenThinker2-32B, using llama.cpp for imatrix quantization, supports multiple quantization types, suitable for text generation tasks.

This model is a text generation model capable of producing coherent text content based on input prompts.

Nordic language instruction fine-tuned model based on Llama-3-8B, supporting Swedish, Danish, and Norwegian

Quantized version of Mistral-Evolved-11b-v0.1, using llama.cpp for quantization, offering multiple quantization options to suit different needs.

This is a Turkish text generation model fine-tuned based on Mistral-7B-Instruct-v0.2, supporting both Turkish and English.

Zephyr 7B Beta is a 7B parameter model based on the Mistral architecture of Hugging Face H4. It is optimized through AWQ quantization and suitable for efficient inference tasks.

A BART-large fine-tuned model for generating ChatGPT role settings based on character descriptions

A BART-large fine-tuned model for automatically generating character setting prompts for ChatGPT

Intent classification model fine-tuned on the MASSIVE dataset based on Microsoft's Multilingual-MiniLM model, supporting multilingual understanding

A model based on sentence-transformers, primarily used to detect synonymy between two short texts (typically single sentences of 10-15 words).