--- license: other license_name: llama4 license_link: https://www.llama.com/llama4/license/ language: - en base_model: - meta-llama/Llama-4-Maverick-17B-128E-Instruct tags: - llama-4 - gguf - instruct - 17b - maverick --- # LLaMA 4 Maverick 17B 128E Instruct (GGUF, Non-Quantized) This is a **non-quantized** GGUF conversion of the original [`meta-llama/Llama-4-Maverick-17B-128E-Instruct`](https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct) model. It has been converted for compatibility with inference libraries that use the [GGUF](https://github.com/ggerganov/gguf) format, such as `llama.cpp`, `llamacpp-python`, `llamafile`, and `Ollama`. --- ## Model Details - **Architecture**: LLaMA 4 - **Model Type**: Mixture of Experts (MoE) - 128 Experts - **Parameters**: 17 Billion (base), larger when expanded with MoE - **Quantization**: None (float16 precision) - **Format**: `.gguf` (non-quantized) --- ## Intended Use - Research and evaluation purposes - Fine-tuning or quantization into lower-bit formats (q4, q5) for efficient inference - Deployment on high-memory systems (256 GB RAM or >512 GB VRAM recommended) --- ## Notes - This model is **extremely large**. The unquantized GGUF file size is approximately **801 GB**. - Running this model requires high-end hardware, preferably with multiple GPUs or extremely large VRAM. - A quantized version (q4_k_m, q5_0) will be released separately for easier local inference. --- ## License This model is distributed under the [Meta Llama 4 license](https://ai.meta.com/resources/models-and-libraries/llama-4/) and the same terms apply. Users must have signed the Meta license agreement to access and use this model. --- ## Acknowledgments - Original model weights: [Meta AI](https://ai.meta.com/resources/models-and-libraries/llama-4/) - GGUF conversion: Done using [llama.cpp](https://github.com/ggerganov/llama.cpp) tooling. --- ## Disclaimer This is a direct format conversion. No fine-tuning, evaluation, or modification has been performed beyond reformatting into GGUF. Use responsibly and within the bounds of the Meta Llama 4 license.