Hunyuan MT 7B GGUF Models Model Generation Details This model was generated using llama.cpp at commit c8dedc99 . Quantization Beyond the IMatrix I've been experimenting with a new quantization approach that selectively elevates the precision of key layers beyond what the default IMatrix configuration provides. In my testing, standard IMatrix quantization underperforms at lower bit depths, especially with Mixture of Experts (MoE) models. To address this, I'm using the tensor type option in llama.cpp to manually "bump" important layers to higher precision. You can see the implementation here: 👉 Layer bumping with llama.cpp While this does increase model file size, it significantly improves precision for a given quantization level. I'd love your feedback—have you tried this? How does it perform for you? Click here to get info on choosing the right GGUF model format 🤗 Hugging Face 🕹️ Demo 🤖 ModelScope 🖥️ Official Website GitHub Technical Report Model Introduction The Hunyuan Translation Model comprises a translation model, Hunyuan MT 7B, and an ensemble m…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy