# Online repackaging

EXAONE-4.0-1.2B is a 1.2B parameter language model released by LGAI-EXAONE, offering multiple quantization versions to meet different hardware requirements.

The quantized version of the EXAONE-4.0-32B model by LGAI-EXAONE, quantized using the llama.cpp tool, aiming to provide more flexible usage options for users with different hardware conditions.

The Lucy model is a large language model developed by Menlo. After quantization, it can reduce resource requirements while ensuring performance and improve operating efficiency.

This is the Llamacpp imatrix quantized version of Google's medgemma-4b-it model, offering multiple quantization options suitable for users with different needs.

This is a quantized version of TheDrummer's Snowpiercer-15B-v2 model, quantized using the llama.cpp tool, offering multiple quantization types to meet different performance and quality requirements.

This is a quantized version of PinkPixel's Crystal-Think-V2 model, offering multiple quantization types to meet different hardware and performance requirements.

Skywork-SWE-32B is a large language model with 32B parameters. It is quantized by Llamacpp imatrix and can run efficiently in resource-constrained environments.

This is a quantized version of the NVIDIA AceReason - Nemotron - 1.1 - 7B model, which optimizes the model's running efficiency on different hardware while maintaining certain performance and quality.

A quantized version of the Austral-24B-Winton model of Delta-Vector, quantized using the llama.cpp tool, suitable for efficient operation on different hardware configurations.

StrawberryLemonade-L3-70B-v1.0 is a quantized large language model designed to run efficiently under different hardware conditions.

Kuvera-8B is an 8B parameter large language model focused on the fields of finance and personal finance, offering multiple quantization versions to meet different hardware requirements.

This is a quantized version of the Microsoft Phi - 4 - mini - reasoning model, which is quantized using the llamacpp tool to improve the model's operating efficiency and performance in different hardware environments.

This is the Llamacpp imatrix quantized version of the zeta model from zed-industries, which solves the problem of efficiently running the model under different hardware conditions and provides multiple quantization types for users to choose from.

A quantized version of the arcee-ai/Virtuoso-Small-v2 model based on llama.cpp, offering multiple quantization types to meet different hardware and performance requirements.

A quantized version based on the Steelskull/L3.3-MS-Nevoria-70b model, using llama.cpp for imatrix quantization, supporting multiple quantization levels for different hardware environments.