Quick Run LTX-2.3-fp8 Uncensored Edition

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30.06.2026
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30.06.2026

Quick Run LTX-2.3-fp8 Uncensored Edition

The fastest way to get this model running locally is via Optional Features.

Please follow the instructions listed below to get started.

The client handles the setup, pulling gigabytes of data automatically.

During setup, the script automatically determines and applies the best settings.

📡 Hash Check: edb03993274296abd90720d96c66bb89 | 📅 Last Update: 2026-06-28



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk: 150+ GB for high-context vector database storage
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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