# Long Context Handling

An instruction-tuned model based on the Qwen3-14B architecture, specializing in mathematical reasoning, code generation, and factual accuracy

Phi-4-reasoning-plus is an open-source reasoning model developed by Microsoft Research, focusing on advanced reasoning capabilities in mathematics, science, and programming fields.

Kyro-n1.1 is an enhanced version of Kyro-n1, built upon Qwen2.5-7B-Instruct, with optimized reasoning capabilities, comprehension, and response accuracy.

Phi-4-reasoning-plus is an advanced open-weight reasoning model developed by Microsoft Research, optimized through supervised fine-tuning and reinforcement learning based on Phi-4, focusing on advanced reasoning capabilities in mathematics, science, and coding fields.

Shisa V2 is a Japanese-English bilingual general-purpose dialogue model developed by Shisa.AI, focusing on improving performance in Japanese tasks while maintaining strong English capabilities.

The Jais series is a large language model optimized for Arabic and bilingual in English and Arabic. The 13B version has 13 billion parameters and supports a context length of 2048 tokens.

Jais Adapted 13B is a bilingual (Arabic-English) large language model based on the Llama-2 architecture, enhanced with adaptive pretraining for Arabic language capabilities

The Jais series is an Arabic-English bilingual large language model, specially optimized for Arabic performance while maintaining strong English capabilities. The 590m version is one of the foundational models in this series.

Quantized version of Mistral-7B-Instruct-v0.3, offering multiple quantization options to accommodate different hardware requirements

Dolphin 2.9 is an uncensored AI assistant model based on Llama-3-70b, featuring multiple instructions, conversational skills, and programming capabilities, with preliminary support for agent functionality and function calling.

A fine-tuned Chinese-English bilingual dialogue model based on Meta-Llama-3-8B-Instruct, optimized for Chinese response quality, supporting role-playing and function calling

This model is a version trained on the Transformers framework, specializing in story writing and role-playing. It is trained on an internal knowledge graph dataset, capable of generating deep and diverse narratives and interactions.

LeoLM is the first open and commercially available German foundational language model based on Llama-2, extending Llama-2's German capabilities through extensive continuous pre-training with German texts.