Setup LTX-2.3-fp8

Setup LTX-2.3-fp8

For the fastest local setup of this model, Docker is the best choice.

Refer to the instructions below to proceed.

The setup auto-downloads all needed files (several GBs).

The installer will automatically analyze your hardware and select the optimal configuration for your system.

🧾 Hash-sum — d579635c6dee58b6573c8b14acd2cb1f • 🗓 Updated on: 2026-06-23



  • Processor: next-gen chip for heavy context processing
  • RAM: enough space for background apps and OS overhead
  • Disk: 150+ GB for high-context vector database storage
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

LTX-2.3-fp8 is a state‑of‑the‑art language model optimized for low‑precision inference. It features a parameter count of 7 B weights and achieves high throughput on consumer‑grade GPUs. The model leverages FP8 quantization to reduce memory footprint while preserving nearly full‑precision performance. Its architecture incorporates a refined attention mechanism that cuts latency by 30 % compared to previous versions. A comparison table below highlights key metrics against earlier LTX releases.

Metric LTX-2.3-fp8 LTX-2.2-fp8
Parameters 7 B 5 B
FP8 Memory 14 GB 10 GB
Inference Latency (ms) 12 18
Throughput (tokens/s) 85 60
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