If you need a near-instant local setup, just fetch files via a basic curl request.
Follow the guidelines below to continue.
The engine will automatically fetch large dependencies in the background.
Without any user input, the software calibrates parameters for optimal hardware usage.
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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