# Multitasking

DeepSeek-R1T-Chimera is a text generation model developed based on tngtech's technology, focusing on efficient natural language processing tasks.

Based on andrewzh's Absolute_Zero_Reasoner-Coder-14b model, this is a version quantized using llama.cpp's imatrix, suitable for reasoning and code generation tasks.

A 15-billion-parameter efficient inference model launched by ServiceNow, with memory usage only half that of comparable advanced models

A multilingual transformer model based on the encoder-decoder architecture, supporting tasks such as text summarization, translation, and question-answering systems.

Qwen3-1.7B is a 1.7B-parameter open-source large language model released by Alibaba Cloud, based on the Transformer architecture, supporting various natural language processing tasks.

Lughaat-1.0-8B-Instruct is a large Urdu language model based on the Llama 3.1 8B architecture, specifically trained on the largest Urdu dataset and excels in Urdu language tasks.

Trendyol LLM v4.1.0 is a generative model based on Trendyol LLM base v4.0 (a Qwen2.5 7B version further pre-trained on 13 billion tokens), specializing in e-commerce and Turkish language understanding.

A 24B parameter model based on the Mistral architecture, distilled from the DeepSeek model, designed for speed and efficiency.

Transformers is an open-source library provided by Hugging Face for natural language processing (NLP) tasks, supporting various pretrained models.

Qwen2.5-Aloe-Beta-7B is an open-source large medical language model that achieves state-of-the-art performance in multiple medical tasks. It is fine-tuned based on the Qwen2.5-7B architecture, and the training data covers 1.8 billion tokens of diverse medical tasks.

Lumina-mGPT is a family of multimodal autoregressive models, excelling in generating flexible and realistic images from text descriptions and capable of performing various vision and language tasks.

Lumina-mGPT is a series of multimodal autoregressive models, excelling in generating flexible and realistic images from text descriptions.

The first groundbreaking large language model for Persian, with 13 billion parameters, trained on the Persian Wikipedia corpus, specifically designed for various natural language processing tasks.

Easy-Systems' first LLM model fine-tuned for Korean based on Llama3-8B-Instruct, supporting text generation tasks in both Korean and English.

This is a large language model based on the Hugging Face Transformers library, suitable for natural language processing tasks such as text generation, language translation, and question answering.

A large Indonesian language model based on the qwen-4b model, further trained with 10 billion high-quality Indonesian texts

ProLLaMA is a protein large language model based on the Llama-2-7b architecture, specializing in multitask protein language processing.

Phi-3-Mini-4K-Instruct is a 3.8 billion parameter lightweight cutting-edge open-source model trained on the Phi-3 dataset, emphasizing high quality and inference-intensive characteristics.

Insufficient model information, unable to provide specific introduction

Spivavtor-Large is an instruction fine-tuned Ukrainian text editing model focused on tasks such as text rewriting, simplification, grammar correction, and coherence optimization.

This model is built based on the Transformers library, and its specific functions and uses require further information for confirmation.

A 7B-parameter large language model based on the Mistral architecture, efficiently trained using Unsloth and TRL libraries, demonstrating excellent performance in multiple benchmarks.

T-LLaMA is a Tibetan large language model trained on the LLaMA2-7B model, constructed with a corpus containing 2.2 billion Tibetan characters, demonstrating excellent performance in text classification, generation, and summarization tasks.

Gemma is a series of lightweight cutting-edge open-source large language models launched by Google, developed based on the Gemini technology framework, supporting English text generation tasks.

Gemma is a lightweight open-source large language model series launched by Google, built on the technology used to create Gemini models, offering a base version with 2 billion parameters.

KafkaLM 70B German V0.1 is a large German language model based on the Llama2 architecture, developed by Seedbox. This model is specifically optimized for German and is suitable for various text generation tasks.

phixtral-2x2_8 is the first Mixture of Experts (MoE) model built upon two microsoft/phi-2 models, outperforming each individual expert model.

kaori-70b-v1 is a large language model based on the LLaMA2 architecture, fine-tuned by the Kaeri and Jenti teams using the Open-Platypus, dolphin, and OpenOrca datasets.

Athnete is a 13B-parameter large language model based on the Alpaca format, suitable for role-playing, emotional role-playing, and general purposes.

LaMini-T5-61M is an instruction-following model based on the T5-small architecture, fine-tuned on the LaMini-instruction dataset with a parameter scale of 61M.

ru_turbo_alpaca is a Russian text generation model, fine-tuned based on the Alpaca model, suitable for Russian text generation tasks.

A CPU-optimized Finnish language processing pipeline provided by spaCy, featuring comprehensive NLP capabilities including POS tagging, dependency parsing, and named entity recognition

CPU-optimized Finnish language processing pipeline with NLP features including token classification and dependency parsing

A Swedish natural language processing pipeline optimized for CPU, including complete NLP components such as part-of-speech tagging and named entity recognition

Swedish small natural language processing model provided by spaCy, optimized for CPU, including complete NLP pipeline such as tokenization, part-of-speech tagging, and dependency parsing

ViT5-base is a Transformer-based pre-trained encoder-decoder model for Vietnamese, supporting various text generation tasks.

Large Russian NLP model provided by spaCy, optimized for CPU, featuring a complete NLP processing pipeline

Pre-trained T5 small standard Malay language model supporting multiple natural language processing tasks.

CPU-optimized Italian processing pipeline provided by spaCy, including NLP functionalities such as token classification, dependency parsing, and named entity recognition

DaCy is a Danish language processing framework featuring state-of-the-art pipelines and analysis capabilities for Danish language processing.