# Knowledge Enhancement

The quantized version of Qwen3-Reranker-4B, aiming to reduce resource consumption while maintaining performance

LogicLlama is a fine-tuned language model developed by Goppa AI, based on the 1-billion-parameter version of LLaMA, enhanced with knowledge injection and logical reasoning capabilities, suitable for edge device applications.

A Llama 3.1 8B series model fused using the Model Stock method, combining the strengths of the Dolermed and Smarteaz variants

GLM-4-9B is the latest open-source version of the GLM-4 series pre-trained model developed by Zhipu AI, featuring exceptional capabilities in semantics, mathematics, reasoning, coding, and knowledge.

A large language model fine-tuned on multilingual datasets based on Qwen/Qwen2.5-7B, supporting 13 language processing

Llama-3.1-Storm-8B is an improved model based on Llama-3.1-8B-Instruct, demonstrating excellent performance in multiple benchmarks and is suitable for dialogue and function calling tasks.

Phi-3-mini-4k-instruct is a small instruction fine-tuned language model released by Microsoft, based on the Phi-3 architecture, suitable for various natural language processing tasks.

BioMistral-7B-slerp is a medical domain language model merged using the SLERP method from BioMistral-7B and Mistral-7B-Instruct-v0.1, specializing in biomedical text processing

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.

CausalLM 7B is a multilingual large language model based on the Llama 2 architecture, supporting English and Chinese text generation tasks.