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[Chat with Llava using `text-generation-webui`](#1-chat-with-llava-using-text-generation-webui) 2. [Run from the terminal with `llava.serve.cli`](#2-run-from-the-terminal-with-llavaservecli) -3. [Quantized GGUF with llama.cpp](#3-quantized-ggml-with-llamacpp) +3. [Quantized GGUF with llama.cpp](#3-quantized-gguf-with-llamacpp) + +| Llava-1.5-13B (Jetson AGX Orin) | Quantization | Tokens/sec | Memory | +|---------------------------------------------------------------------------|:------------:|:----------:|:-------:| +| [`text-generation-webui`](#1-chat-with-llava-using-text-generation-webui) | 4-bit (GPTQ) | 2.3 | 8.8 GB | +| [`llava.serve.cli`](#2-run-from-the-terminal-with-llavaservecli) | FP16 (None) | 4.2 | 27.7 GB | +| [`llama.cpp`](#3-quantized-gguf-with-llamacpp) | 4-bit (Q4_K) | 10.1 | 9.2 GB | The latest Llava-1.5 is used in this tutorial. It comes in 7B and 13B variants, however the 13B model has significantly improved accuracy. -![](./images/tgwui_multimodal_llava_spacewalk.png) +![](./images/tgwui_multimodal_llava_fish.jpg) ### Clone and set up `jetson-containers`