# Multi-turn dialogue

A Turkish text generation model fine-tuned based on GPT2, suitable for scenarios such as natural language processing and chatbots.

QwQ-32B-ArliAI-RpR-v4 is a high-performance role-play and creative writing model developed by ArliAI, fine-tuned based on QwQ-32B, with a focus on reducing repetition and enhancing creative output.

Turkish-Gemma-9b-v0.1 is a Turkish text generation model developed based on Gemma-2-9b, optimized through continued pretraining, supervised fine-tuning (SFT), direct preference optimization (DPO), and model merging techniques.

Bielik-4.5B-v3-Instruct is a 4.6 billion parameter Polish generative text model, fine-tuned based on Bielik-4.5B-v3, demonstrating exceptional Polish language comprehension and processing capabilities.

The Camel Model is a text generation model based on the transformer architecture, supporting Azerbaijani and trained using reinforcement learning.

A 1.5B parameter instruction fine-tuned model designed for Gensyn RL Swarm, supporting local fine-tuning via peer-to-peer reinforcement learning

Cantonese LLM Chat v1.0 is the first-generation Cantonese large language model developed by the hon9kon9ize team, excelling in Hong Kong-related professional knowledge and Cantonese conversation.

This is the 4-bit quantized version of the Qwen/QwQ-32B model, optimized using the BitsAndBytes library, suitable for text generation tasks in resource-constrained environments.

Quantized version based on mlabonne/gemma-3-12b-it-abliterated model, using llama.cpp for imatrix quantization, suitable for text generation tasks.

Croatian text generation model based on Mistral architecture, trained with Unsloth acceleration

Dorna2-Llama3.1-8B-Instruct is an 8B parameter large language model developed by Part AI based on Meta Llama 3.1 Instruct, specifically optimized for Persian language.

Italian language-optimized large language model based on Meta-Llama-3.1-8B-Instruct

A fine-tuned version of the Llama3.1 8B large language model optimized for Turkish, trained on high-quality Turkish instruction datasets

This is a GGUF format model converted from Google's Gemma 2B model, suitable for text generation tasks.

Ko-Llama-3-8B-Instruct is a model specifically developed to enhance the performance of Korean language models, based on supervised fine-tuning of Meta-Llama-3-8B-Instruct.

4-bit quantized version of Dorna-Llama3-8B-Instruct, optimized for Persian language with Flash Attention 2 technology for enhanced inference efficiency

A Dutch language instruction-optimized large model based on Llama-3-8B, fine-tuned through SFT and DPO on multiple Dutch instruction datasets

A fine-tuned version of the Llama3 8b large language model optimized for Turkish, trained on high-quality Turkish instruction datasets

Dorna-Llama3-8B-Instruct is an 8B parameter instruction fine-tuned model based on Meta Llama 3, specifically optimized for Persian language, developed by Part AI.

An 8-billion-parameter instruction model specifically designed for Thai, with performance comparable to GPT-3.5-turbo, optimized for application scenarios, retrieval-augmented generation, constrained generation, and reasoning tasks

A Japanese-optimized large language model fine-tuned based on Meta-Llama-3-8B-Instruct, excelling in multiple Japanese benchmark tests

This is an 8B parameter instruction fine-tuned model based on Meta's Llama 3 architecture, processed with GGUF quantization, suitable for resource-constrained environments.

This is a Transformer model optimized with Unsloth, specifically tailored for Arabic text generation tasks.

Llama 2 is Meta's next-generation open-source large language model, available in 7B, 13B, and 70B parameter versions with commercial licensing support.

A Korean language model continuously pre-trained on the Llama-3-8B framework, trained with over 60GB of deduplicated text data

A Korean language model based on continued pre-training of Llama-3-8B, trained on 60GB+ deduplicated publicly available text, supporting Korean and English.

OpenThaiGPT 70b 1.0.0 is a 70-billion-parameter Thai chat model based on LLaMA v2, specifically fine-tuned for Thai language instructions, significantly enhancing Thai language processing capabilities.

A Finnish large language model based on the GPT-3 architecture, fine-tuned with the Alpaca dataset, supporting Finnish text generation tasks.

Japanese-enhanced large language model continuously pre-trained based on Mistral-7B-v0.1

Ao Karasu 72B is a large language model with 72B parameters, primarily designed for text generation tasks in Japanese and English.

A 103B parameter hybrid model based on the leaked Miqu model, supporting 32K context length

Korean instruction model fine-tuned based on EEVE-Korean-2.8B-v1.0, optimized with DPO training

This is a Turkish GPT2 large model specifically designed for text generation tasks, capable of continuing given text fragments in a coherent and contextually appropriate manner.

The first Polish dialogue assistant model specifically designed for local deployment, based on TinyLlama-1.1B with extended Polish tokenizer and trained with DPO optimization

The Violet series language models are specifically trained for instruction following and maintaining Russian dialogues. The fourth generation has been optimized with RLHF, offering stronger response capabilities and richer information content.

Korean-enhanced version based on SOLAR-10.7B-v1.0, continuously pre-trained by expanding vocabulary and Korean corpus

TinyLlama is a lightweight 1.1B-parameter Llama model optimized for chat and programming assistance tasks.

ToRoLaMa is an open-source large language model for multi-turn dialogue, focusing on Vietnamese and supporting multiple international languages.

VinaLLaMA is a large language model specifically optimized for Vietnamese, built on the Llama2 architecture.

Claire 7B 0.1 is a French large language model developed by OpenLLM France, based on the Falcon architecture, focusing on French text generation tasks.